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Received: 7 December 2023
|
Accepted: 26 February 2024
DOI: 10.1002/jmv.29512
RESEARCH ARTICLE
Design and synthesis of APN and 3CLpro dual‐target
inhibitors based on STSBPT with anticoronavirus activity
Youle Zheng
1
|Jin Feng
1
|Yanbin Song
2
|Yixin Yu
1
|Min Ling
1
|
Mengjia Zhang
2
|Haijiao Xie
3
|Wentao Li
2
|Xu Wang
1,4
1
National Reference Laboratory of Veterinary Drug Residues (HZAU) and MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural
University, Wuhan, China
2
National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University; Hubei Hongshan Laboratory, Wuhan, China
3
Hangzhou Yanqu InformationTechnology Co., Ltd., Hangzhou, China
4
MOA Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, China
Correspondence
Xu Wang, National Reference Laboratory of
Veterinary Drug Residues (HZAU) and MAO
Key Laboratory for Detection of Veterinary
Drug Residues, Wuhan, Hubei 430070, China.
Email: wangxu@mail.hzau.edu.cn
Wentao Li, National Key Laboratory of
Agricultural Microbiology, College of
Veterinary Medicine, Huazhong Agricultural
University, Hubei Hongshan Laboratory,
Wuhan 430070, China.
Email: wentao@mail.hzau.edu.cn
Funding information
National Key Research and Development
Program of China, Grant/Award Number:
2023YFD1800801; National Natural Science
Foundation of China, Grant/Award Number:
32272990; Fundamental Research Funds for
the Central Universities, Grant/Award Number:
2662023DKPY004
Abstract
Coronaviruses (CoVs) have continuously posed a threat to human and animal health.
However, existing antiviral drugs are still insufficient in overcoming the challenges
caused by multiple strains of CoVs. And methods for developing multi‐target drugs
are limited in terms of exploring drug targets with similar functions or structures. In
this study, four rounds of structural design and modification on salinomycin were
performed for novel antiviral compounds. It was based on the strategy of similar
topological structure binding properties of protein targets (STSBPT), resulting in the
high‐efficient synthesis of the optimal compound M1, which could bind to
aminopeptidase N and 3C‐like protease from hosts and viruses, respectively, and
exhibit a broad‐spectrum antiviral effect against severe acute respiratory syndrome
CoV 2 pseudovirus, porcine epidemic diarrhea virus, transmissible gastroenteritis
virus, feline infectious peritonitis virus and mouse hepatitis virus. Furthermore, the
drug‐binding domains of these proteins were found to be structurally similar based
on the STSBPT strategy. The compounds screened and designed based on this
region were expected to have broad‐spectrum and strong antiviral activities. The
STSBPT strategy is expected to be a fundamental tool in accelerating the discovery
of multiple targets with similar effects and drugs.
KEYWORDS
3CLpro, APN, binding, coronavirus, multiple targets
1|INTRODUCTION
Coronaviruses (CoVs) can induce multiple diseases in a broad range
of hosts. Before the emergence of severe acute respiratory syndrome
(SARS), they were not deemed to pose a significant threat to human
health, which was induced by bat‐originated SARS‐CoV.
1
The host
range switches of CoVs from animals to humans have demonstrated
potential to cross the host‐species barrier, and they have led to the
emergence of novel and highly fatal diseases, such as Middle East
respiratory syndrome (MERS) and the recent outbreak of coronavirus
J Med Virol. 2024;96:e29512. wileyonlinelibrary.com/journal/jmv © 2024 Wiley Periodicals LLC.
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https://doi.org/10.1002/jmv.29512
Youle Zheng and Jin Feng contributed equally to this work.
disease 2019 (COVID‐19). Of note, there have been over 772 million
confirmed cases of SARS‐CoV‐2 infection, including almost 7 million
deaths reported worldwide as of 19 December 2023 (https://www.
who.int/data#reportsWorld). To date, the emergence of several
mutated variants of SARS‐CoV‐2, notably the Delta and Omicron
strains, has exhibited higher transmissibility and a surge in infection
cases worldwide.
2
Both exhibit limited neutralization by sera after
vaccination.
3–5
Therefore, it is imperative to explore prospective
broad‐spectrum antiviral agents to effectively address the ongoing
challenges posed by viral outbreaks.
6,7
Remdesivir, the first Food and Drug Administration (FDA)‐approved
drug targeting RNA‐dependent RNA polymerase (RdRp) for COVID‐19
treatment,
8
had little effect on hospitalized patients.
9,10
Molnupiravir,
which targets RdRp, introduces mutations in the genome of SARS‐CoV‐2
during viral replication,
11
butitcouldalsocause“error disasters”in
mammalian cells.
12
Despite the recent FDA approval of Paxlovid,
reported cases of reinfection have emerged following completion of
the prescribed course involving this medication.
13,14
This could be
caused by rapid drug resistance due to the drug's limited targeting of
only 3C‐like protease (3CLpro).
15,16
To overcome these limitations,
multitarget drugs are gradually gaining recognition and becoming
increasingly important, as biological systems are typically unable to fully
compensate for the effects of multiple targets acting simultaneously.
17
Recent studies have demonstrated the antiviral activity of compounds
targeting both transmembrane protease serine 2 (TMPRSS2) and
cathepsin L/B against diverse SARS‐CoV‐2variants.
18
In addition, dual‐
targeting of the 3CLpro and papain‐like protease (PLpro) of the virus has
also demonstrated remarkable efficacy in combating CoVs.
19
These
advancements propel us into the challenging area of developing novel
antiviral drugs with host‐directed and virus‐directed mechanisms,
thereby offering broad‐spectrum performance and sustained effective-
ness. In recent years, significant progress has been made in the
computational prediction of drug–target interactions. These methods
utilize the “guilt‐by‐association”assumption, which suggests that similar
drugs may share similar targets and vice versa.
20
To further support this
idea, the concept of similar topological structure binding properties of
protein targets (STSBPT) was introduced and successfully applied to our
drug discovery and target identification efforts.
Aminopeptidase N (APN) and 3CLpro are pivotal for CoV
attachment and replication, respectively, making them enticing dual
targets for drug intervention.
21,22
The former acts as a cross‐genus
functional receptor for CoVs from humans, swine, dogs and cats,
such as porcine transmissible gastroenteritis virus (TGEV),
23
human
respiratory coronavirus 229E (HCoV‐229E),
24
canine coronavirus
(CCoV),
25
feline infectious peritonitis virus (FIPV)
25
and porcine delta
coronavirus (PDCoV).
26
Swine, dogs and cats have frequent contact
with humans, wildlife and livestock, which increases the likelihood of
cross‐species transmission.
27,28
However, there are few studies on
screening antiviral drugs targeting APN. The viral protein 3CLpro acts
as the main protease by cleaving 11 of the 13 individual proteins,
facilitating proper protein folding and subsequent assembly into the
active polymerase complex. This cleavage event makes the proteo-
lytic activity of 3CLpro essential for the virus.
29
Furthermore, the
proteinase has a high level of similarity of structure and function
among CoVs, which is supported by the remarkable degree of amino
acid sequence conservation among SARS‐CoV, HCoV‐229E and
TGEV 3CLpro and mediating the cleavage of a TGEV 3CLpro
substrate through SARS‐CoV‐derived recombinant 3CLpro.
21
While
inhibitors targeting 3CLpro have been extensively explored from
various sources, including plants, marine organisms, microbial origins,
and approved or commercially available drugs, there is a lack of
studies focused on designing APN/3CLpro dual‐target inhibitors.
30,31
The primary objective of this study is to develop multi‐targeted
antiviral compounds that can effectively combat multiple CoVs.
Additionally, the aim is to investigate the shared characteristics of
protein pockets targeted by a single compound to understand the
mechanism of multitargeting. The findings of this research could
potentially make a contribution to the development of future multi‐
targeted drugs and assist in the identification of new drug targets.
2|MATERIALS AND METHODS
2.1 |Cells and viruses
PK‐15, IPEC‐J2, Vero‐E6, CRFK, LR7 and ACE2‐overexpressing HEK‐
293T (Obio Technology) cells were maintained in Dulbecco's
Modified Eagle medium (DMEM) supplemented with 10% fetal
bovine serum (FBS) at 37°C in 5% CO
2
. The following viruses were
used and listed in the Supporting Information S1: Table S1: TGEV
strain WH‐1 (provided by Wentao Li), PEDV‐DR13 (provided by
Qigai He), MHV‐A59 (provided by Wentao Li), cell‐adapted serotype
II FIPV 79‐1146 (provided by Wentao Li) and COVID‐19‐Spike
Pseudovirus Omicron B.1.1.529 (11991ES50, Yeasen Biotech).
2.2 |Structure‐based virtual screening
The crystal structure of pAPN as the modeling template was obtained
from the Protein Data Bank (ID: 4FKE). The binding pockets were
confirmed using SYBYL‐X Suite with default parameters. A diverse
subset of the compound library (i.e., SPECS with 1,084,348 small‐
molecule compounds and a Topscience compound library with 16,594
natural products) was prepared to generate three‐dimensional configu-
rations by Surflex to search SYBYL‐X with all options set as default.
Docking projects were conducted using the Surflex‐Dock Screen and
Surflex‐Dock GeomX modules in the SYBYL‐X Suite. Scoring calculations
were calculated by CScore in the SYBYL‐XSuite.
2.3 |Virus inhibition assays
For the infection assays, cells were seeded at 1 × 10
5
and 5 × 10
5
cells per well in 24‐well and 6‐well plates, respectively, and infected
with viruses (MOI = 0.1) 1 h before adding various concentrations of
compounds. Cell supernatants were harvested for further use. The
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cells were lysed and harvested in radioimmunoprecipitation assay
(RIPA) lysis buffer (P0013B, Beyotime) after washing three times with
phosphate‐buffered saline (PBS).
2.4 |Drug time‐of‐addition assay
The antiviral activity of salinomycin (SAL) was evaluated by the time‐
of‐addition assay for pre‐,co‐and posttreatment. Prevention of viral
infection was identified by pretreatment with 5 µM SAL 1 h before
infection in cells. The co‐treatment of 5 µM SAL and viruses for
30 min was evaluated to observe the virucidal effect and the
interaction of cell receptors with viruses of the agent. The inhibition
of viral replication was evaluated by treatment with 5 µM SAL 1 h
after viral infection in cells. Cell suspensions and cell lysates were
collected for further use.
2.5 |Design and synthesis of SAL derivatives
The SAL sample (Qilu) with a purity of 24% was used as the starting
material, which was dissolved in dichloromethane (DCM), filtered and
extracted three times with acidified water (pH 1.5). The organic phase
was dried for at least 2 h with anhydrous Na
2
SO
4
, and the solvent was
removed under reduced pressure. The synthesis work was performed
as follows: to a solution containing SAL (800 mg, 88.77 mM, 1.0 eq) in
N,N‐dimethylformamide (DMF, 12 mL), N‐hydroxysuccinimide (NHS,
245 mg, 177.40 mM, 2.0 eq) and 1‐(3‐dimethylaminopropyl)‐3‐ethyl
carbodiimide hydrochloride (EDC, 408 mg, 177.36 mM, 2.0 eq) were
added. The reaction mixture was stirred at 25°C for 6 h, and 2‐
thiophenecarboxaldehyde hydrazone (CAS: 31350‐01‐3, 269 mg,
177.66mM, 2 eq) was added. The reaction mixture was stirred at
25°C for 24 h. The output was monitored by thin‐layer chromatogra-
phy (TLC) (hexyl hydride/ethyl acetate [hexane/EtOAc] = 1/1,
retention factor [Rf] = 0.25) and visualized by a 5% vanillin sulfuric
acid/ethanol solution. The product was purified by column chroma-
tography on silica gel (hexane/EtOAc = 2/1). Other derivatives, such as
M5, M7, M8, M9, M10, M12 and M13, were synthesized with the
same procedure (Supplemental Information). The general chemistry
information such as eluant and percentage yield of the product are
listed in Supporting Information S1: Table S2. SAL derivatives were
characterized by various techniques, including MS,
1
H‐NMR, and
13
C‐NMR.
2.6 |Immunofluorescence assay (IFA)
Normal and virus‐infected cells were both subjected to fixation,
permeation and incubation with primary antibodies, followed by
staining with the corresponding fluorescence‐conjugated anti‐IgG
secondary antibodies and DAPI, and visualized with an inverted
fluorescence microscope (Olympus IX83, Olympus Co.). The anti-
bodies used for IFA are provided in Table S1.
2.7 |Cellular thermal shift assay (CETSA) and drug
affinity responsive target stability (DARTS) assay
The CETSA and DARTS procedures were carried out according to a
previously described method.
32,33
Briefly, PK‐15 and CRFK cells were
treated with compounds (30 µM) for 30 min. Then, the cells were
washed three times using PBS, scraped off and subjected to different
temperatures or pronase solution. The samples were subjected to
freeze–thaw cycling twice using liquid nitrogen and a water bath set
at 25°C and then centrifuged at 500 gfor 3 min at 25°C to pellet the
cell debris. Supernatants were subjected to SDS‐induced protein
denaturation and saved for subsequent analysis.
2.8 |Co‐immunoprecipitation (Co‐IP)
PK‐15 cells were treated with compounds (30 µM) for 30 min and
then scraped off and lysed in cell lysate buffer (50 mM Tris‐HCl, pH
7.4; 150 mM NaCl) with complete protease inhibitors. Anti‐APN
antibodies (ET1611‐61, HUABIO) and mouse control IgG (AC011,
ABclonal, China) were preincubated with rProtein A/G MagPoly
Beads (AM001‐02, Nanjing ACE). Then, the cell lysate and TGEV
were mixed and immunoprecipitated with the Sepharose‐antibody
complexes on a rotator at 4°C overnight. The beads were washed five
times with cell lysate buffer and collected by centrifugation at 1000 g,
and the immunoprecipitates were subjected to a western blot assay
with the corresponding antibodies. The antibodies used for immuno-
precipitation are provided in Supporting Information S1: Table S1.
2.9 |Quantitative reverse transcription PCR
(RT‐qPCR)
Total RNA from viral RNA from cell suspensions were extracted with
RNA Isolater Total RNA Extraction Reagent (R401‐01, Vazyme).
Complementary DNA (cDNA) was synthesized using HiScript II Q
Select RT SuperMix for qPCR with gDNA wiper (R233‐01, Vazyme).
Each RT‒qPCR was carried out using 2X Universal SYBR Green Fast
qPCR Mix (RK21203, ABclonal). The results were monitored using a
CFX96 Real‐Time PCR Detection System (Bio‐Rad). All primers used
for RT‐qPCR are listed in Table S3.
2.10 |Western blot
Cell lysates were obtained using RIPA lysis buffer (P0013B,
Beyotime), separated by 10% SDS‒PAGE, transferred to 0.45 µm
polyvinylidene difluoride membranes (Millipore) and blocked with 5%
nonfat milk. The membranes were incubated with primary antibodies
at 4°C overnight, followed by washing three times for 10 min each
with Tris‐buffered saline with 0.1% Tween 20 (TBST). The mem-
branes were then incubated with the corresponding fluorescence‐
conjugated anti‐IgG secondary antibodies for 1.5 h, followed by
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washing three times with TBST. Signals were detected using the
ImageQuant LAS 4000 Mini (Cytiva) after ECL (RM00021, ABclonal)
treatment. The antibodies used for western blot are listed inTable S1.
2.11 |Protein expression and purification
3CL amino acids from TGEV (GenBank accession numbers:
ABG89303), PEDV (GenBank accession numbers: AGK89913) and
FIPV (GenBank accession numbers: AAK09095) were ordered from
Sangon (China) in the pET28a (+) vector with E. coli codon
optimization to generate the pET28a‐3CL plasmids. These plasmids
were amplified in DH5αcompetent cells and then used to transform
BL21 (DE3) competent cells. Single colonies were picked and
transferred to LB medium. The cultures were shaken at 37°C for
4–6 h before induction of fusion protein expression by 0.1 mM
isopropyl thio‐β‐D‐galactoside (IPTG) at 37°C for 5 h. Then, the cells
were harvested and purified. Briefly, the cells were sonicated,
collected and passed through a Ni‐NTA column by a peristaltic pump
at 4°C overnight and then passed through the binding buffer (50 mM
sodium phosphate buffer pH 8.0, 500 mM NaCl and 10 mM
imidazole). The bacterial proteins were then eliminated with elution
buffer A containing 30 mM imidazole (50 mM sodium phosphate
buffer pH 8.0, 500 mM NaCl and 30 mM imidazole). Next, the column
was eluted to obtain the target protein with elution buffer B with
200 mM imidazole (50 mM sodium phosphate buffer pH 8.0, 500 mM
NaCl and 200 mM imidazole). The crude product was washed with
PBS via a 10 kDa Millipore centrifugal ultrafiltration tube to remove
imidazole. The fractions of pure product, total protein, supernatant
and precipitate were then analysed by SDS‒PAGE and western blot
using an anti‐His tag antibody (AE003, ABclonal).
pCAGGS mammalian expression vectors encoding human Fc‐
tagged soluble ectodomains (i.e. not membrane anchored) of pAPN
(GenBank accession numbers: XP_005653580.1) were generated.
Then, 60% confluent HEK‐293T cells were transfected with plasmids
encoding APN‐hFc fusion proteins with polyethylenimine (PEI) for 6
h. The medium was replaced with 293 SFM II‐based expression
medium (Gibco Life Technologies) and the cells were incubated at
37°C in 5% CO
2
. Tissue culture supernatants were harvested 5–6
days after transfection, and expressed proteins were purified using
Protein A Sepharose beads (GE Healthcare) according to the
manufacturer's instructions. The purity and integrity of all purified
recombinant proteins were checked by SDS‒PAGE. Purified proteins
were stored at 4°C until further use.
2.12 |Enzyme assay
The enzyme assay was conducted to evaluate the impact of various
drugs on the activity of APN protease. In brief, 2 mM L‐leucine‐p‐
nitroanilide (L‐Leu‐pNA, CAS: 4178‐93‐2) was utilized as the
substrate, 10 µg/mL purified porcine APN protein was utilized as
the enzyme, 50−200 µM UBE, SAL, or M1 was utilized as drugs, and
PBS was utilized as the buffer solution. The drugs were individually
preincubated with the enzyme for 10 min, followed by the addition of
the substrate. Control groups included: samples without drugs,
samples with one type of drug, and samples with only the substrate.
All samples were incubated at room temperature in a 96‐well plate
and the absorbance values at 405 nm were measured at different
time points using a fluorescence microplate reader (Enspire PE,
PerkinElmer).
To evaluate the impact of various drugs on the activity of 3CL
protease, the fluorescence resonance energy transfer (FRET) assay
was conducted. The FRET peptide Dabcyl‐VSVNSTLQ ↓SGLRKMA‐
E (Edans) was synthesized by GenScript (China). It can be cleaved by
3CL‐TGEV and 3CL‐FIPV proteins and easily monitored using a
fluorescence microplate reader (Enspire PE, PerkinElmer). Inhibition
of enzymatic activity was assayed by preincubating 0.2 µM protein
with varying concentrations of test compound (SAL and M1) in a total
volume of 200 µL in 20 mM Tris–HCl (pH 7.4) and 200 mM NaCl for
15 min at 25°C in 96‐well plates. Then, 20 µM FRET peptide was
added and the reaction incubated for another 15 min at 25°C. Finally,
the cleaved product was measured in a 96‐well plate using an
excitation wavelength of 320 nm and an emission wavelength of
425 nm. Control reactions were carried out using the same reaction
mixture with DMSO or without the protein (MOCK).
2.13 |Gaussian process
The theoretical calculations were performed via the Gaussian 16 suite of
programs. The structures of the studied compounds were fully optimized
at the B3LYP‐D3/6‐31 G (d) level of theory. The solvent (H
2
O) effect
was included in the calculations using the solvation model based on the
density (SMD) model. The vibrational frequencies of the optimized
structures were determined at the same level. The structures were
characterized as a local energy minimum on the potential energy surface
by verifying that all the vibrational frequencies were real. The affinity of
SAL and M1 towards Na
+
and Ca
2+
were evaluated at the same level
with the following equation: [SAL/M1 –solution] + [Na
+
/Ca
2+
+H
2
O–
solution] →[SAL/M1 + Na
+
/Ca
2+
+H
2
O–solution]. The equations [SAL/
M1 –solution], [Na
+
/Ca
2+
+H
2
O–solution] and [SAL + Na
+
/Ca
2+
+
H
2
O–solution] represent SAL/M1, Na
+
/Ca
2+
coordinated with H
2
O
and complexes with Na
+
/Ca
2+
containing one water molecule in solution,
respectively. The ΔG of the equation was used for the evaluation.
2.14 |Measurement of intracellular Ca
2+
The calcium‐sensitive dyes Fluo‐4 AM (F8501, Solarbio) and Pluronic
F‐127 (P6791, Solarbio) were used to measure the intracellular
calcium ion concentration. IPEC‐J2 cells were incubated with 4 μM
Fluo‐4 AM for 20 min at 37°C, treated with five volumes of HBSS
containing 1% FBS and incubated for another 40 min. To assess cell
death, PI (C0080, Solarbio) was then added to the solution to obtain a
final concentration of 1 µg/mL. Then, DMSO, SAL or M1 was added
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to a final concentration of 1 mM. The fluorescence intensity was
detected using fluorescence inverted microscopy (Olympus IX83,
Olympus Co.).
To test the change in intracellular calcium ions, IPEC‐J2 cells
were incubated with SAL, M1 and amlodipine (AML, a calcium
channel blocker) at the same concentration of 5 µM for 24 h and then
stained with the calcium indicator Fluo‐4 AM and Pluronic F‐127.
The fluorescence intensity was detected using an excitation
wavelength of 494 nm and an emission wavelength of 516 nm by a
fluorescence microplate reader. To explore whether the cytotoxicity
was related to the change in intracellular calcium ions induced by SAL
and M1. An inhibitor of the Na
+
/Ca
2+
exchanger was used at a
concentration of 10 µM for co‐incubation with test compounds in
IPEC‐J2 cells. The CCK‐8 (A311‐01, Vazyme) was used to test cell
viability after drug treatment for 24 h. Subsequently, OD was
measured at 450 nm on a microplate reader.
2.15 |Flow cytometry
Cell apoptosis was assessed using the Annexin V‐fluorescein
isothiocyanate (FITC) apoptosis detection kit (KGA1014, KeyGen
Biotech, China). A total of 2 × 10
5
IPEC‐J2 cells/well were plated on a
6‐well plate, incubated overnight, and then treated with various
compounds for 24 h. Cells were then digested using 0.25% trypsin
without EDTA into a single‐cell suspension. According to the
manufacturer's protocols, Annexin V‐FITC and PI were used for cell
staining. Then, at least 2 × 10
4
double‐stained cells were measured
using a flow cytometer (Beckman CytoFLEX, USA). Finally, FlowJo
software was used to analyze the results.
2.16 |Isothermal titration calorimetry (ITC)
All ITC experiments were carried out and analysed using the Launch
NanoAnalyze Software. All titrations were performed at 25°C while
stirring at 300 rpm in PBS. A control experiment of titrant in buffer
was performed to account for the heat of dilution. All titrations were
repeated at least three times with similar results. An approximate
protein concentration of 50 µM was used for ligand‒protein
titrations. The ligand concentration is approximately 10 times higher
than that of the protein. For Ca
2+
–compound titrations, 22 mM CaCl
2
and 1.1 mM compounds (SAL or M1) were used.
2.17 |Differential scanning fluorimetry (DSF)
For the DSF experiments, 20 μL of samples were prepared in
duplicate using 100 µM protein and a compound concentration of
50 µM. The samples were heated from 20°C to 95°C at 1°C/min
before incubation for 20 min; fluorescence was measured at each
step in nanoDSF (Nano Temper Prometheus NT.48). The change in
melting temperature (T
m
) was calculated and recorded by the
instrument. Data analysis and image generation were performed
using the PR ChemControl Software.
2.18 |Animals, grouping and treatments
Fifty‐two specific pathogen‐free (SPF) Kunming mice and 56 SPF
BALB/c mice (male, 6–7 weeks old, weighing approximately 25 g)
were purchased from the Center of Laboratory Animals of Hubei
Province (Wuhan, China). The animals were maintained under
standard conditions of humidity (50% ± 10%), temperature
(25 ± 2°C) and dark and light cycles (12 h each) with free access to
food and water. All experimental procedures were performed in
accordance with animal welfare guidelines and were approved by the
Animal Welfare and Ethics Committee of the Huazhong Agricultural
University Wuhan, China (approval permit number: HZAUMO‐2023‐
0126, HZAUMO‐2023‐0085 and HZAUMO‐2023‐0084).
For the toxicity study, mice were divided into three groups (n=6).
The groups received intragastric administration of the following
compounds for 21 days: group A, vehicle (CMC‐Na)‐treated control;
group B, SAL (Qilu) at 10 mg/kg body weight/day; group C, M1 at
10 mg/kg body weight/day. At autopsy, testes, epididymis, sciatic nerve,
mid‐thigh muscle, kidney, lung, liver, heart and small intestine were
removed and collected for further analysis. An acute toxicity study of
SAL and M1 was performed according to the up‐and‐down procedure
described by Zhao et al.
34
on 16 Kunming mice (n= 8 per compound).
The LD
50
of SAL and M1 was estimated by AOT425StatPgm version 1.0
(US Environmental Protection Agency, USA)
For the DSS‐induced colitis study, 18 Kunming mice were
randomly assigned to one of three groups (n= 6 per group): healthy
control, DSS and DSS + 10 mg/kg body weight/day M1. All mice
except for the healthy controls were administered 3% (w/v) DSS
(molecular mass, 30–50 kDa; YEASEN, China) dissolved in drinking
water. At the end of the DSS challenge, the mice were killed after
12 h of fasting. The colon and small intestine were removed and
collected for further evaluation.
To gain insight into the in vivo efficacy of drugs against the CoV,
vehicle‐, SAL‐and M1‐treated mice (n= 14) were subjected to
intraperitoneal injection with MHV‐A59 (5 × 10
4
plaque‐forming
units). The control group received an equal volume of DMEM via
the same strategy. Then, the control and vehicle‐treated mice were
administered CMC‐Na orally twice a day. SAL‐and M1‐treated mice
were given 5 mg/kg body weight via the same strategy. Six mice from
each group were killed for pathological examination 3 dpi, and the
remaining eight mice in each group were observed until all the mice in
the vehicle group died.
2.19 |Histology
After decapitation, testes, epididymis, mid‐thigh muscle, kidney, liver,
lung, heart, colon and small intestine were immediately fixed in 4%
paraformaldehyde in phosphate buffer and stored at 4°C. Sciatic
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nerve samples from the mid‐thigh were obtained from all animals,
fixed in 2.5% glutaraldehyde and stained with osmium tetroxide
before embedding in solvent‐free, modified bisphenol A epoxy resin.
For paraffin embedding, organs were washed and dehydrated
through a series of graded ethanol baths, followed by embedding in
paraffin wax. Serial sections of 5 µm thickness were cut using a
microtome and stained with haematoxylin and eosin. The sections
were observed using a light microscope.
2.20 |Enzyme‐linked immunosorbent assay
(ELISA)
The liver tissues were weighed and homogenized in PBS. After
centrifugation at 3000 rpm for 30min, the supernatant was collected
to quantify MHV, MPO, IL‐6 and TNF‐αlevels by ELISA kits
(MSKBIO) according to the manufacturer's instructions.
2.21 |Quantification and statistical analysis
Each reaction was performed at least in triplicate, and the results are
expressed as the mean ± standard deviation (SD). All the group
differences were assessed using one‐way analysis of variance. A p‐
value ≤0.05 was considered statistically significant. Statistical signifi-
cance is expressed as follows: p> 0.05 (ns, not significant),
0.01 ≤p< 0.05 (*) and p< 0.01 (**). Statistical analyses and graphical
presentations were performed using GraphPad Prism 8.
3|RESULTS
3.1 |Identification of SAL as an antiviral compound
The in‐silico experiments were performed to identify molecules with
antiviral effects. The targets were ranked by scores obtained from
SYBYL‐X. Out of the library with over 1 100 000 compounds, the top
four candidates –salvianolic acid B (SAB), epmedin B (EB), SAL and
icariin (ICA) –exhibited strong binding energy interacting with the
porcine aminopeptidase N (pAPN) protein (Table S4). Of them, SAL
received a top three rating from SYBYL‐X (score = 10.0). The PK‐15
cells were infected with TGEV at a multiplicity of infection (MOI) of
0.1 for 1 h and then treated them with 5 µM of SAL, ubenimex (UBE),
SAB, EB or ICA, for 24 or 36 h. SAL strikingly inhibited replication by
reducing viral copy numbers. SAB could also inhibit viral replication,
but it was not as effective as SAL. Other candidates did not show an
obvious antiviral effect at 5 µM (Figure 1A,B). SAL manifested anti‐
TGEV activity in a dose‐dependent manner (Figure 1C). The antiviral
activity of each agent was evaluated by the time‐of‐addition assay as
follows: pre‐,co‐and posttreatment. Co‐and pretreatment with
1 µM SAL exerted the most potent antiviral activity against TGEV
(Figure 1D and E). Furthermore, SAL downregulated APN protein
expression at 24–36 h posttreatment in both PK‐15 (Figure S1A,B)
and IPEC‐J2 (Figure S1C,D) cells based on western blot and
immunofluorescence assay (IFA). SAL at 5 µM was found to exert a
significantly more effective (Figure S1B,C) and sustained (Figure S1A)
inhibitory effect than 5 µM UBE (positive control) on APN protein
expression in vitro, and the effect was dose dependent (Figure S1D).
3.2 |Identification of APN as a target of SAL
The cellular thermal shift assay (CETSA) and drug affinity responsive
target stability (DARTS) were conducted to test whether the compound
coulddirectlybindtothepAPN.Therewasagoodcorrelationinligand‐
induced thermal stabilization potency. At 30 µM in the culture medium,
SAL and UBE (positive control) dramatically stabilized the pAPN protein
in the cell material at a temperature of 48–52°C compared with the
dimethyl sulphoxide (DMSO)‐treated group (Figure 1F and G). SAL
exhibited a dose‐dependent response (1–30µM)whentheproteinwas
challenged at the melting temperature (48°C) (Figure 1H,I). In the DARTS
experiment, the interaction between SAL and UBE (at 30 µM) and pAPN
stabilized the structure so that it became more resistant to proteases
diluted 1:300 to 1:1000 (pronase:protein) in solution (Figure 1J,K). In
addition, there was dose‐dependent stabilization of the APN structure
with 1–100 µM of the compound and proteases in 1:500 in solution
(Figure 1L and M). The relative intensities of bands in western blot were
quantified using ImageJ software.
3.3 |Design and synthesis of the optimal
compound M1 based on structure‐based drug
design (SBDD)
SAL exhibits robust antiviral efficacy despite its strong cellular
toxicity in PK‐15 (Figure S1E) and IPEC‐J2 (Figure S1F) cells, as
indicated by the selectivity index (SI). SAL derivatives were designed
and synthesized using the SBDD approach to alleviate toxicity
without changing their antiviral effectiveness and targeting propert-
ies. SBDD was conducted using the Surflex‐Dock Screen module of
SYBYL‐X (Table S5) and PyMOL software (Figure 2A and S2A–I).
Three small fragments without oxygen atoms–cyclopropylamine (to
generate M7), cyclopentylamine (to generate M8) or cyclobutylamine (to
generate M9)–were first used to introduce amide bonds by replacing
carboxyl groups to inhibit the formation of a hydrophilic cavity due to the
interaction (hydrogen bond formation) between the carboxylic and
hydroxyl groups placed on the opposite ends of the molecule. According
to docking simulations, ligands with larger introduced fragments had
higher Crash values (values that are close to 0 are favorable), which
revealed that a five‐membered ring structure in a suitable pocket cavity
could reduce the level of internal self‐clashing that the ligand would have
experienced and could make the binding more stable. However, the total
score and polarity of all three derivatives (7.3, 6.7 and 7.8) were lower
than those of the starting compound (8.6). This result indicates that
derivatives M7, M8 and M9 would probably have poor antiviral
performance accompanied by the risk of off‐target toxicities due to
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FIGURE 1 SAL can inhibit TGEV infection and direct bind to pAPN in vitro. (A and B) Analysis of the anti‐TGEV effects of different compounds
(5 µM), including salinomycin (SAL), ubenimex (UBE), salvianolic acid B (SAB), epmedin B (EB) and icariin (ICA). The level of TGEV‐Nexpressionwas
measured by western blot (A) and RT‐qPCR (B). (C) Identification of the dose‐dependent anti‐TGEV activity of SAL. (D and E) Analysis of antiviral activity
of SAL evaluated by the time‐of‐addition assay. The level of TGEV‐N expression was measured by RT‐qPCR (D) and western blot (E). (F−M) The CETSA
(F−I) and DARTS (J−M) assays were conducted to test whether the compound could directly bind to pAPN. The CETSA assay was employed to assess the
protective effect of SAL (30 µM) against protein denaturation in the cell material at a temperature of 37–58°C (F and G). The CETSA assay was utilized to
detect the dose‐dependent thermal stabilization potency of SAL (1 −30 µM) when the protein was challenged at 48°C (H). The western blot results of
CETSA assay were quantified using ImageJ (I). The DARTS assay was employed to assess the protective effect of SAL (30 µM) on the protein when
treated with proteases diluted 1:300 to 1:1000 (pronase:protein) in solution (J and K). The DARTS assay was utilized to detect the dose‐dependent
protective effect of SAL (1 −100 µM) when the protein was treated with pronase solution (pronase:protein ratio = 1:500) (L). The western blot results of
DARTS assay were quantified using ImageJ (M). Data are represented as mean ± SD. p> 0.05 (ns, not significant), 0.01 ≤p<0.05(*) and p< 0.01 (**).
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FIGURE 2 (See caption on next page).
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poor binding specificity and affinity (polarity = 1.1, 1.9 and 2.4). A small
fragment with an oxygen atom, 3‐oxetanamine (to generate M10), was
further introduced to increase the polarity and affinity of the C1
terminus. However, SYBYL‐X simulation‐based indicators were not
significantly improved (score = 7.7, polarity = 2.4). The results of the
experiment also verified that the antiviral activity became stronger with
the size of the fragment among these four compounds. M7, with the
smallest fragment, had the worst antiviral effect. The SI value was 28.34
for porcine epidemic diarrhea virus (PEDV) and 9.55 for TGEV. While
M8, with the largest fragment, had the best antiviral effect among the
three molecules (SI = 83.44 for PEDV and 47.54 for TGEV).
Then, groups with five‐membered ring structures combined
with anti‐CoV activity were searched for application in the
synthesis of SAL derivatives. Thiophene‐based derivatives are
effective against various viruses, including CoVs.
35,36
Thus,
thiophene, including 2‐thiophenecarboxylic acid hydrazide (to
generate M5), 2‐thiophenemethylamine (to generate M12) and
thiophene‐2‐ethylamine (to generate M13), were attempted to
introduce to enhance binding stability and antiviral activity. The
docking simulations showed that M13 could extend to the deeper
site of the N‐terminus of APN. M13 had a longer and straighter
carbon chain than the other two derivatives, features that might
prove beneficial. SYBYL‐X also scored M13 (9.4) higher than M5
(8.1) and M12 (7.6). Next, the 2‐thiophenecarboxaldehyde
hydrazone (to generate M1) was applied to the carboxyl group
modification of SAL due to the non‐rotatable carbon‐nitrogen
double bond. Eventually, M1 tended to form shorter hydrogen
bonds with a higher total score (9.6) and polarity (3.6) than those
of SAL and other derivatives reported by SYBYL‐X. In total, eight
SAL derivatives were synthesized; information such as eluant and
percentage yield of the product are listed in Table S2.The
structures were confirmed by using liquid chromatography mass
spectrometry‐ion trap‐time of flight (LCMS‐IT‐TOF),
1
Hnuclear
magnetic resonance (
1
H‐NMR) and
13
Cnuclearmagneticreso-
nance (
13
C‐NMR) measurements (Supplemental Information).
3.4 |M1 exhibits low toxicity and efficient antiviral
properties in vitro
As expected, all SAL derivatives had lower cytotoxicity than SAL,
especially M1, with half maximal cytotoxic concentration (CC
50
)
values of 128.90 and 103.20 µM in Vero‐E6 and PK‐15 cells,
respectively (Supplemental Information). Some SAL derivatives still
had better or similar antiviral activities against TGEV, PEDV, FIPV and
mouse hepatitis virus (MHV). For TGEV, the results indicated that
SAL, M1 and M5 could significantly decrease the viral copy number
(Figure 2B) with low half maximal effective concentration (EC
50
)
values of 0.59, 0.63 and 0.68 µM, respectively (Table S6). M7 and
M10 exhibited no obvious antiviral activity against TGEV in vitro. The
other SAL modifications also significantly diminished the viral
inhibitory activity of the prototype drugs M8, M9, M12 and M13
(Figure 2B). M1 had a much better antiviral effect than UBE (APN
inhibitor) and melatonin (MEL, a reported anti‐TGEV and anti‐PEDV
agent). It exhibited evident antiviral activity comparable to that of
GC376 (3CL inhibitor) and GS441524 (RdRp inhibitor) at the same
concentration of 10 µM (Figure S3A). However, it was slightly weaker
than the effects of GC376 at low concentrations (0.1–2.5 µM) in
PK‐15 cells (Figure 2C).
SAL showed poor anti‐PEDV activity at 24 h postinfection (hpi)
(Figure S3B), and up to 36 hpi (Figure 2D) it began to exhibit good
anti‐PEDV activity with an EC
50
value of 0.23 µM (Table S6). M1 and
M5 inhibited PEDV replication in vitro at both 24 and 36 hpi
(Figure 2D and S3B), with EC
50
values of 0.31 and 0.17 µM,
respectively (Supplemental Information). A similar antiviral effect
was noted for 10 µM M1, 25 µM GC376 and 25 µM GS441524 at 24
hpi (Figure S3C). M1 had a much better antiviral effect than UBE and
MEL. Of note, M1 had a significantly better antiviral effect than
GC376 at low concentrations of 0.1–2.5 µM at 36 hpi (Figure 2E).
PEDV infection was examined by IFA at 36 hpi, which also indicated
that M1 and SAL at 5 µM could effectively block PEDV infection in
vitro (Figure S3D).
The anti‐FIPV activity of these compounds was also tested in the
CRFK cell line. SAL and M1 at 5 µM significantly inhibited FIPV in
CRFK cells (Figure 2F). Treatment with SAL and M1 at 10 μM showed
detectable antiviral activity against MHV‐A59 in LR7 cells
(Figure 2G). The virus titration assays showed that the anti‐MHV
activity of M1 at 5 µM was better than that of SAL (Figure S3E).
Other derivatives of SAL in this study did not show obvious anti‐FIPV
or anti‐MHV activity, with >50% inhibition at specific concentrations
in vitro (data not shown). The pseudovirus of Omicron B.1.1.529 was
used to evaluate the antiviral efficacy of the compounds against
SARS‐CoV‐2. The relative light units (RLU) for luciferase activity were
recorded at 36 hpi. The assay with each compound was performed in
sextuplex. E64d (positive control) and SAL exhibited remarkable
antiviral activity (Figure 2H). Some SAL derivatives, such as M1, M5,
M12 and M13, exhibited ordinary antiviral effects with EC
50
values
ranging from 2.51 to 3.42 µM, which were worse than that of SAL
FIGURE 2 SAL and M1 exhibit antiviral activity. (A) The roadmap outlines the strategy for designing and synthesizing derivatives of SAL.
(B) Analysis of the anti‐TGEV activity of 5 µM SAL and its derivatives using western blot. (C) Comparison of anti‐TGEV activity between GC376
(3CL inhibitor) and M1 at low concentrations (0.1–2.5 µM) in PK‐15 cells. (D) Analysis of the anti‐PEDV activity of 5 µM SAL and its derivatives using
westernblot.(E)Comparisonofanti‐PEDV activity between GC376 and M1 at low concentrations (0.1–2.5 µM) in Vero cells. (F−H) Analysis of the anti‐
FIPV (F), anti‐MHV (G) and anti‐SARS‐CoV‐2 (H) activity using IFA. Identification of the recombinant FIPV with a green fluorescent protein (F) and
MHV‐A59 (G) using fluorescence microscopy. The MHV‐N protein was detected with specific MHV‐N mouse monoclonal antibody and fluorescein‐
conjugated goat anti‐mouse IgG (green). The cell nuclei were stained with DAPI (blue). Scale bar, 200 µm. Spike proteins of Omicron B.1.1.529
pseudovirus expressing luciferase was used to evaluate the antiviral efficacy of the compounds. The relative light units (RLU) were recorded for
luciferase activity (H). Data are represented as mean ± SD. p> 0.05 (ns, not significant), 0.01 ≤p<0.05 (*) and p<0.01(**).
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FIGURE 3 (See caption on next page).
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(0.69 µM) at 36 hpi in vitro. Most notably, due to the lowest
cytotoxicity (CC
50
= 128.90 µM) among all compounds, M1 showed
the highest SI of 37.69, surpassing SAL's SI of 12.28. M5 showed the
second‐best SI value of 13.04 in this study (Table S6).
3.5 |M1 targets the APN protein
SAL and M1 at 5 μM were found to inhibit the expression of APN in PK‐
15 (Figure 3A)andCRFK(Figure3B) cells. Oral administration of 10 mg/
kg body weight SAL or M1 could also effectively inhibit the expression of
APN in the small intestine of mice (Figure 3C). To test whether the
compoundcouldbindtoAPN,CETSA,DARTS,co‐immunoprecipitation
(Co‐IP) and differential scanning fluorimetry (DSF) were conducted. M1
presented a more obvious change than SAL at the same concentration of
30 µM in compound‐induced APN protein thermal stability at 48–50°C
in PK‐15 (Figure 3D)andCRFK(Figure3E) cells. In addition, M1 and M9
at 30 µM protected the target protein in PK‐15 cells from degradation
by a range of protease concentrations (from 1:300 to 1:1000
pronase:protein) markedly better than SAL at the same concentration
(Figure 3F). The Co‐IP experiment was conducted in PK‐15 cells. An
interaction between APN and TGEV was observed. SAL and M1 could
competitively interact with APN and therefore interfere with its
interactions with TGEV (Figure 3G). The pAPN was harvested and
detected as a single band on the gel (Figure 3H) and further identified by
western blot (Figure 3I). Then, DSF was carried out to detect the
compound‐induced protein thermal stability to assess the binding
interaction between compounds (SAL, M1 and M5) and the pAPN
protein. The results showed that SAL, M1 and M5 could markedly
enhance the thermal stability of pAPN, while tylosin (TYL, control group)
did not (Figure 3J).
While the catalytic activity of APN is not required for virus entry,
the enzyme assay was conducted to provide evidence supporting the
targeting of APN by the compound.
24
The results demonstrated
the remarkable cleavage ability of APN on L‐Leu‐pNA, resulting in the
formation of p‐nitroaniline as a product. The absorbance values
exhibited a linear increase throughout the 0 −60 min duration,
indicating a constant rate of substrate cleavage by APN. Notably,
UBE, SAL, and M1 exerted significant inhibitory effects on enzymatic
activity. Among them, UBE displayed the highest inhibitory potency
at an equivalent concentration of 50 µM (Figure S4A). Moreover, the
inhibitory activity of these compounds showed dose‐dependency
within the range of 50 −200 µM after 90 min of treatment. The half
maximal inhibitory concentration (IC
50
) value for UBE‐mediated
inhibition of APN activity was approximately 50 µM, while the IC
50
values for SAL and M1 were 100 −200 µM (Figure S4B).
3.6 |STSBPT revealed that 3CLpro is an additional
target of SAL and M1
In a previous study, the researchers considered SAL and its
derivatives to be a new class of multitarget “magic bullets”.
37
Other
candidate target proteins for SAL and its derivatives were attempted
to find in the study. Given that co‐treatment with SAL showed an
impressive inhibitory effect against TGEV in PK‐15 cells, viral proteins
rather than cellular proteins were considered to identify promising
new targets. The DBD was “unfolded”onto a planar space based on
the notion of dimensionality reduction to find a prospective target
protein with a similar DBD structure to pAPN (PDB: 4FKE).
Specifically, Surflex‐Dock Screen (SFXC) dockings were performed
using SYBYL‐X to find ligand‐proximal amino acids in the binding
pocket. The two‐dimensional interaction diagram was obtained by
using the Protein Contacts Atlas (http://pca.mbgroup.bio/index.html)
(Figure 4A). A contact was considered to have occurred if the
distance was less than 4 Å. It can be observed that the ligand
established 373 atomic contacts with its immediate neighbors
(Figure 4B).
In total, 22 amino acids (AGAERTVHESEYLGDRVFDSYS) of
pAPN were took from the first shell of immediate ligand contacts and
performed a Protein BLAST search (http://blast.ncbi.nlm.nih.gov/
Blast.cgi) to align them with proteins in the Protein Data Bank (PDB)
considering CoVs as the organism (taxid: 693996). 3CLpro, spike
glycoprotein, nonstructural protein 3 (nsp3) and nsp12 were found to
share high (46%–100%) residue percent identity with the query
sequence (Table S7). The mean root‐mean‐square deviations
(RMSDs) within 4 Å from the ligand were tentatively calculated to
determine the pocket similarity using PyMOL software. Only the
region of the binding sites of 3CLpro retained constructive similarity
with those of APN (RMSD < 3 Å). The values of other proteins
involved in the calculation were all above 3 Å, indicating significant
dissimilarity of the binding sites between the other proteins and APN.
The score calculated by SYBYL‐X was also used to evaluate the
affinity between SAL and these candidate targets. Most notably, the
DBD of 3CLpro of SARS‐CoV had both structural similarity (2.365 Å)
with APN and high affinity (score = 13.29) with SAL. Moreover, the
subject sequence of 3CLpro searched by BLAST was part of the
sequence of the DBD and participated in binding with SAL.
FIGURE 3 SAL and M1 can bind to APN. (A) The effect of 5 µM SAL and its derivatives on the expression of APN protein in PK‐15 cells.
(B) The effect of SAL and its derivatives on the expression of feline APN (fAPN) protein in CRFK cells. (C) The impact of orally administering 10 mg/kg
body weight of SAL or M1 on the expression of APN protein in the small intestine of mice (n= 3 per group). (D−F) Analysis of the binding ability of
compounds to pAPN (D) and fAPN (E) by CETSA, and to pAPN by DARTS assays (F). (G) Analysis of the interaction between APN and TGEV and
whether SAL and M1 could significantly block this interaction through the Co‐IP assay. The APN and TGEV‐N proteins were detected using western
blot with an APN rabbit monoclonal antibody and a TGEV‐N mouse monoclonal antibody. (H) Purified pAPN protein appeared as a single band in the
gel. (I) Identification of purified pAPN using western blot with an APN rabbit polyclonal antibody. (J) The DSF assay. The thermal shift (T
m
change) was
determined with DSF by incubating pAPN with DMSO (blank control), tylosin (TYL, negative control), SAL, M1 and M5.
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FIGURE 4 (See caption on next page).
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The computer‐aided molecular binding analysis with multiple targets
based on the STSBPT was first conducted to explore whether SAL and
M1 could simultaneously target APN and 3CL proteins. First, the binding
sites of SAL and M1 on the pAPN and 3CL‐TGEV proteins were
predicted using SYBYL‐X and modeled them by PyMOL. Modification of
the carboxyl group of SAL gave rise to a significant relocation of the
compound to an alternative energy minimum, resulting in alteration of
the binding sites of amino acids and shortening of the distance between
the proton donor and acceptor. SAL was found to interact with the side
chains of GLU‐384, GLU‐413 and ARG‐437 of pAPN (Figure 4C)and
GLN‐8andARG‐294 of 3CL‐TGEV (Figure 4D). M1 interacts with ALA‐
346, GLU‐375, ARG‐376 and GLY‐433 of pAPN (Figure 4E)andGLN‐8,
GLU‐152 and ASN‐153 of 3CL‐TGEV (Figure 4F). There are more
hydrogen bonds participating in the ligand‒protein binding between M1
and both targets than between SAL and both targets. The increased
binding could directly improve binding affinity.
Then, the binding domains 4Å from the ligand of these target
proteins were extracted and superimposed to calculate the RMSD
values of superimposed proteins by PyMOL and the P‐min score
by PocketMatch version 2.0 (http://proline.physics.iisc.ernet.in/
pocketmatch/). The RMSD value is a measure of the average distance
between the superposed protein atoms. P‐min isthe value obtained by
dividing the number of matches by the total number of pairwise
distances of the smaller pocket. The results indicated that DBDs have
structural similarities between the host protein and viral proteins.
Furthermore, the 4 Å regions from M1 have an overall lower RMSD
and a higher P‐min score observed between pAPN and 3CL proteins
than those from SAL (Table S8).
Toexaminewhetherthecompoundscouldalsoinhibitandbindto
3CL proteins, three plasmids were constructed to express the 3CL fusion
proteins of TGEV, PEDV and FIPV in an Escherichia coli expression
system. The results of sodium dodecyl sulfate polyacrylamide gel
electrophoresis (SDS‐PAGE) indicated that the 3CL proteins were pure
with expected molecular masses of 35–40 kDa (Figure 5A,S5A,B). They
were expressed both in the supernatant and inclusion body as assessed
by western blot (Figure 5B,S5C,D). The peptide Dabcyl‐
VSVNSTLQ ↓SGLRKMA‐E(Edans) was used to identify the effect of
each inhibitory compound against the 3CL‐TGEV, 3CL‐FIPV proteins.
The peptide was obtained commercially from GenScript (Nanjing, China)
with >95% purity. The time‐dependent increase in fluorescence intensity
showed that SAL and M1 could inhibit the activity of the 3CL proteins of
TGEV and FIPV with similar efficiency. The percentage of inhibition of
SAL and M1 was 43.5% ± 4.0% and 56.6% ± 6.5% for 3CL‐TGEV,
respectively (Figure 5C), and 43.9% ± 7.2% and 44.6% ± 5.8% for 3CL‐
FIPV, respectively (Figure 5D), after 30 min of incubation. Moreover, SAL
and M1 also showed a dose‐dependent inhibitory activity against 3CL‐
TGEV (Figure S5E).
SAL and its eight derivatives were docked using SYBYL‐Xtofindkey
amino acid positions on 3CL proteins. All compounds bind to the GLN‐8
position of the 3CL‐TGEV protein via hydrogen bonds in the putative
substrate‐binding models (Figure 5E). The GLN‐8 residue was identified
as a highly conserved recognition site in the 3CL proteins of TGEV,
PEDV, FIPV and HCoV‐229E (Figure 5F), whereas the 3CL protein of
SARS‐CoV‐2 Omicron did not show conservation of this site
(Figure S5F). The prediction of interactions between compounds and
the active pocket of the 3CL proteins was confirmed using the
isothermal titration calorimetry (ITC) assay. SAL and M1 directly
interacted with the 3CL protein of TGEV with K
d
values of
0.14 ± 0.05 μM and 66.89 ± 0.02 nM, respectively, and N values of
1.62±0.05and1.58±0.04sites,respectively(Figure5G,H). Mutation of
GLN‐8(FigureS5G) altered the integrity of the binding pocket and
impaired the interaction between the small molecule and target protein,
as revealed by ITC, suggesting that GLN‐8intheN‐terminus might be
the key residue on 3CLpro (Figure S5H,I). DSF was subsequently carried
out to detect the compound‐induced variation of protein thermal
stability to assess the binding interaction. The thermal shift (T
m
change)
was introduced by incubating 3CLpro‐TGEV, 3CLpro‐PEDV and 3CLpro‐
FIPV with specific compounds compared with incubation with DMSO
(blank control) and TYL (negative control) (Figure 5I). The results
indicated that the incubation of SAL and its derivatives caused a shift
in the 3CL protein's T
m
value. The binding of compounds to the 3CL
protein resulted in decreased thermal stability, which is consistent with
previous reports.
38
These provides evidence that SAL, M1, M5, M8, M9,
M12andM13bindto3CLpro‐TGEV (Figure 5J); SAL, M1 and M5 bind
to 3CLpro‐PEDV (Figure 5K);andSAL,M1andM12bindto3CLpro‐
FIPV (Figure 5L).
3.7 |M1 attenuates intestinal damage and
inflammation
The gut serves as a reservoir for viruses.
39
Previous studies have
demonstrated the close relationship between CoVs and the digestive
system (including intestinal damage, intestinal inflammation, etc.).
40
A
cell model of virus‐induced cell junction protein deletion and a mouse
model of dextran sulfate sodium (DSS) injury were employed to test
the efficacy of drugs to treat symptoms. SAL and M1 at 5 µM
significantly reversed the TGEV‐induced low level of expression of
tight junction proteins, such as ZO‐1 and occludin, at 24 hpi
(Figure 6A). Cells infected with TGEV or PEDV were totally
FIGURE 4 STSBPT reveals that 3CLpro is possibly an additional target of SAL and M1. (A) The two‐dimensional diagrams of SAL and targets
interactions were generated based on the Protein Contacts Atlas. The inner ring indicates the first shell of immediate ligand contacts, and the
outer ring indicates the second shell of extended ligand contacts. The size of the circle is proportional to the total number of contacts between
the residue and any of the inner residues within the ring. (B) Statistics of the first shell of immediate ligand contacts. (C−F) The docking
simulation was conducted in SYBYL‐X and pictured by PyMOL, including simulated images of SAL in a complex with pAPN protein (PDB: 4FKE)
(C) and 3CL‐TGEV protein (PDB: 1P9U) (D), as well as M1 in complex with pAPN protein (E) and 3CL‐TGEV protein (F). Hydrogen bonds are
indicated by dotted lines. The name of the bound amino acid and the hydrogen bond distance are marked in the images. The modified part of
SAL is shown in magenta.
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FIGURE 5 SAL and M1 can bind to 3CL proteins. (A) Purified 3CL protein (line 5) was detected as a single band in the gel, compared with the
negative control (line 1), the total protein of lysates (line 2) and the soluble (line 3) and insoluble (line 4) forms. (B) Detection of the protein of
interest by western blot with a mouse anti‐His‐tag monoclonal antibody. T, total protein; S, supernatant; P, precipitation. (C and D) The FRET
assay. The peptide Dabcyl‐VSVNSTLQ ↓SGLRKMA‐E (Edans) was used to detect the cleavage activity of 3CL proteins. Data are represented as
mean ± SD. (E) SAL and its eight derivatives share the same binding site with 3CL‐TGEV, namely GLN‐8 (colored in green). (F) A logo plot
indicates that GLN‐8 is a conserved amino acid residue in 3CL of TGEV, PEDV, FIPV and HCoV‐229E. (G and H) Detection of the ligand–target
binding affinity by the ITC assay. Data are represented as mean ± SD. (I–L) The DSF assay. The thermal shift (T
m
change) was introduced by
incubating 3CLpro‐TGEV (I and J), 3CLpro‐PEDV (K) and 3CLpro‐FIPV (L) with specific compounds compared with incubation with DMSO (blank
control) and tylosin (TYL, negative control).
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FIGURE 6 (See caption on next page).
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morphologically restored after treatment with SAL or M1, and the
expression of ZO‐1 was changed to normal levels in IPEC‐J2
(Figure S6A) and Vero‐E6 (Figure 6B) cells at 24 hpi. Moreover,
SAL and M1 significantly reduced TGEV‐induced phosphorylation of
extracellular signal‐regulated kinase 1/2 (ERK1/2) and nuclear factor
kappa B (NF‐κB) in vitro, restoring virus‐challenged cells to the
normal levels as observed in virus‐free treatment at 24 hpi
(Figure 6C). IκBαprotein expression returned to normal. Some
inflammatory factors triggered by TGEV, such as interleukin 1beta (IL‐
1β) and tumor necrosis factor alpha (TNF‐α), were significantly
downregulated by SAL and M1 in IPEC‐J2 cells at 24 hpi (Figure 6D).
For the DSS‐induced colitis study, the addition of 3% DSS in
drinking water led to body weight loss an increased diarrhea and
rectal bleeding. After the symptoms became obvious, each mice
began to receive oral administration of vehicle or 10 mg/kg body
weight M1 each day. Mice in the vehicle‐treated group died in 4
days, while mice in the M1‐treated group exhibited an 83.3%
survival rate; only one mouse died on Day 3 (Figure 6E). The colon
and small intestine were collected to evaluate histopathology
(Figure 6F). The vehicle‐treated mice showed serious colon
damage. The arrangement of intestinal epithelial cells and muscle
fibers appeared disordered. There was a large number of
inflammatory cells in the mucosa and submucosa. The muscle
fibers appeared dissolved and sloughed off. The gland, goblet cell
and crypt structures of the mucous membrane were absent. In
addition, there were fewer intestinal glands and goblet cells
compared with the healthy control group. In the M1‐treated
group, the colon texture was clear, the morphology was intact,
there was no congestion and the mucosal intestinal epithelial cells
were arranged neatly. The intestinal structure remained intact,
appearing essentially identical to that of the healthy control
group.
3.8 |SAL and M1 exhibit antiviral effects in vivo
MHV infection is regarded as a suitable animal model for studying the
mechanisms and pathology of CoV infections.
41–43
For the anti‐MHV
study, all mice died at 7 days postinfection (dpi) in the vehicle‐treated
group. MHV‐infected mice treated with M1 demonstrated significant
improvement with 75% survival. In contrast, there was 50% survival
in the SAL‐treated group (Figure 6G). At 3 dpi, six mice from each
group were killed for histopathological examination. Compared with
the vehicle‐treated group, SAL and M1 treatment significantly
alleviated liver tissue necrosis and damage caused by MHV infection
(Figure 6H). The liver‐to‐body weight ratios in the M1‐treated mice
were significantly decreased compared with those in the vehicle‐
treated mice (Figure S6B). Histopathological analysis showed that
MHV‐infected mice treated with vehicle and SAL exhibited signifi-
cant tissue necrosis and damage compared with the livers of the
MOCK group. Livers of the M1‐treated group showed relatively
normal morphology, similar to the MOCK group (Figure 6I). The
number of white blood cells (WBCs), lymphocytes (LYMs) and
platelets (PLTs) significantly decreased in MHV‐infected mice
compared with the MOCK group, and treatment with M1 restored
these blood indicators to the normal ranges (Figure 6J,K). The
enzyme‐linked immunosorbent assay (ELISA) results showed that the
levels of MHV, IL‐6, TNF‐α, and myeloperoxidase (MPO) in the livers
of the M1‐treated group were significantly lower than those in the
livers of the vehicle‐treated group. SAL treatment also significantly
reduced some inflammatory factors, such as MPO and TNF‐α,
compared with vehicle treatment (Figure 6L−O).
3.9 |Low toxicity of M1 in vitro and in vivo
M1 exhibited much lower cytotoxicity than SAL. A series of studies were
carried out to investigate this phenomenon. Flow cytometry showed that
M1 caused a less severe effect than SAL on early apoptosis of IPEC‐J2
cells at a low concentration (10 µM) (Figure 7A). M1 could not increase
the Ca
2+
concentration of IPEC‐J2 cells, according to the fluorescence
intensity of cells preloaded with Fuo‐4 AM, whereas this did happen to
the cells treated with SAL. Treatment with 5 µM amlodipine (AML), a
calcium channel blocker, inhibited the initial influx of calcium and
reduced the fluorescence intensity of cells (Figure 7B). Then, 10 µM
CGP‐37157 (CGP, an inhibitor of the Na
+
/Ca
2+
exchanger) was used to
reduce cytotoxicity triggered by Na
+
/Ca
2+
exchange in response to
treatment with different concentrations of compounds. The cytotoxicity
induced by M1 could not be alleviated by 10 µM CGP. However, the
prevention of SAL‐induced cell death in response to treatment with CGP
was observed (Figure 7C). The theoretical calculations were performed
to evaluate the affinity of SAL and M1 towards Na
+
and Ca
2+
via the
FIGURE 6 SAL and M1 exhibit antiviral and anti‐inflammatory effects. (A) SAL and M1 significantly reversed the TGEV‐induced reduction in
the expression of tight junction proteins. (B) The expression of ZO‐1 of Vero‐E6 cells infected with PEDV returned to the normal level after M1
treatment. The ZO‐1 protein was detected with ZO‐1 rabbit polyclonal antibody and fluorescein‐conjugated goat anti‐rabbit IgG (green). The cell
nuclei were stained with DAPI (blue). Scale bar, 10 µm. (C) SAL and M1 significantly reduce TGEV‐induced phosphorylation of ERK1/2 and NF‐
κB in vitro. (D) SAL and M1 significantly reduce TGEV‐induced expression of IL‐1βand TNF‐αin PK‐15 cells. (E) Survival curves of mice in the
DSS‐induced colitis study (n= 6 per group). (F) The colon and small intestine tissue stained with haematoxylin and eosin. Scale bar, 300 μm.
(G) Survival curves of mice in the anti‐MHV study (n= 8 per group). (H) Gross postmortem examination of liver tissue. (I) Liver sections from mice
killed at 3 dpi were stained with haematoxylin and eosin. Scale bar, 300 μm. (J and K) Routine blood tests were conducted in all 24 mice
(n= 6 per group). (L–O) The level of MHV, MPO, IL‐6 and TNF‐αin the liver of each group of mice. Data are represented as mean ± SD.
p> 0.05 (ns, not significant), 0.01 ≤p< 0.05 (*) and p< 0.01 (**).
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FIGURE 7 (See caption on next page).
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Gaussian 16 suite of programs. The simulated poses of complexes of
compounds and ions are shown in Figure 7D.ThesimulatedposeofSAL
is a macrocyclic structure closed by the head‐to‐tail hydrogen bridge.
Oxygen atoms are involved in interacting with the metal ion. However,
M1 cannot form the “head‐to‐tail”type of intramolecular hydrogen
bonds as a pseudocyclic structure. The Gibbs free energy change (ΔG)
shows that modification of the carboxyl group of SAL could downgrade
the carrying capacity of Na
+
and Ca
2+
(Figure 7D and Table S9). An
increase in Fluo‐4 (green) staining that preceded the appearance of
propidium iodide (PI) signal (red) was found by approximately 5–10 min,
which supports that apoptosis could be triggered by SAL through
intracellular Ca
2+
flux. However, there was no Fluo‐4signalevenafter
cellsbecamePIpositiveintheM1‐treated group (Figure 7E). The ITC
assay confirmed the complexation of Ca
2+
by SAL. M1 had a much
weaker interaction with Ca
2+
than SAL, which agrees with the results
obtained from theoretical calculations (Figure 7F,G).
The acute toxic effects of oral administration of SAL and M1
were examined in mice. The median lethal dose (LD
50
) was 55 mg/kg
body weight (95% confidence interval 11.81–79.9) for SAL and
1494 mg/kg body weight (95% confidence interval 1000–2000) for
M1 (Table S10). To evaluate the toxic effects of SAL and M1 on the
male reproductive system, muscle and the sciatic nerve, mice were
administered 10 mg/kg body weight of SAL or M1 once daily for 21
days. After 21 days, SAL had significantly reduced the body weight of
mice (by >14 g on average) compared with M1 and vehicle (CMC‐Na).
The histopathological results showed that SAL treatment induced
various structural changes in the seminiferous tubules of the testis
and epithelium of the epididymis. Seminiferous tubules in testes were
shrunken and disrupted in SAL‐treated mice. The cross‐section of the
epididymis showed the occurrence of vacuolization and necrosis in
SAL‐treated mice, with the disappearance of spermatozoa in the
lumen. Alveolar cavities of SAL‐treated mice were filled with red
blood cells. SAL‐induced sciatic neurodegeneration was visualized
with silver staining. Accumulation of silver grains were observed in
neurons from the substantia nigra pars compacta of SAL‐treated mice
(Figure 7H). Photomicrographs of the heart, liver, kidney, duodenum
and skeletal muscle did not show an obvious lesion in the SAL‐or
M1‐treated group (data not shown). The weight of the mice was
recorded on a daily basis during the experiment. There was no
significant difference in body weight between the M1‐and vehicle‐
treated groups (Figure 7I).
4|DISCUSSION
This study provides the first evidence that the drug‐binding domains
(DBDs) of pAPN and 3CLpro from hosts and viruses, respectively, are
structurally similar and could both be targeted by SAL and its
derivative M1, leading to the disruption of protein functions and the
inhibition of virus entry. It marks the successful application of the
STSBPT in both drug‐target discovery (DTD‐STSBPT) and multitarget
drug screening (DS‐STSBPT), providing new strategies to optimize
efficacy and to mitigate time and resource wastage resulting from
mechanical screening procedures.
The DTD‐STSBPT introduces a novel perspective to the
methodology of identifying secondary drug targets beyond the
primary target. Usually, drug–target discovery work is mainly based
on omics (including genomics, proteomics, metabolomics and
transcriptomics), mass spectrometry, CRISPR‐based gene editing
and computational approaches (including network‐based, machine
learning and molecular docking simulation approaches).
44–47
How-
ever, these methods have limitations in terms of exploring drug
targets with similar functions or structures. It is common for drugs to
have multiple targets in vivo, even if they were originally designed to
target a single specific target. Thus, it is difficult to anticipate other
potential targets during the initial design phase, which can result in
unforeseen side effects and a decrease in the overall success rate of
drug development. The DTD‐STSBPT proposed in this study provides
a valuable reference for guiding drug design and preventing off‐
target effects. On the other hand, multitargeting in drug development
opens up more possibilities for functionality, and the DTD‐STSBPT
can also be utilized to explore new applications for existing drugs or
to identify novel multitarget drugs.
The DS‐STSBPT introduces evaluation criteria from a new
perspective for drug screening. In target‐based drug screening,
comparing the structural similarity between the DBDs of known
and new targets can aid in the identification of promising targeted
drugs. Specifically, this approach can help screen for drugs that are
more likely to target the new DBD effectively. In this study, the
structural similarity comparison between the binding pockets of
pAPN and hACE2 was conducted to forecast the different inhibitory
effects of SAL and M1 on SARS‐CoV‐2 pseudovirus. The 4 Å regions
from M1 were found to have an overall higher RMSD and a lower P‐
min score between the pAPN and hACE2 proteins than those from
FIGURE 7 The cytotoxicity of SAL and M1 is related to the ability to carry Na
+
and Ca
2+
. (A) The results of flow cytometry of IPEC‐J2 cells
treated with SAL and M1 at 10 µM. (B) Analysis of the Ca
2+
concentration of IPEC‐J2 cells according to the fluorescence intensity of cells
preloaded with Fuo‐4 AM. Amlodipine (AML), a calcium channel blocker, could inhibit the initial influx of calcium. Data are represented as
mean ± SD. p> 0.05 (ns, not significant), 0.01 ≤p< 0.05 (*) and p< 0.01 (**). (C) Analysis of whether CGP‐37157 (CGP, an inhibitor of Na
+
/Ca
2+
exchanger) could alleviate the cytotoxicity caused by SAL or M1. Data are represented as mean ±SD. p> 0.05 (ns, not significant), 0.01 ≤p< 0.05
(*) and p< 0.01 (**). (D) The theoretical calculations of the affinity of SAL and M1 towards Na
+
and Ca
2+
via the Gaussian 16 suite of programs.
(E) Detection of the relationship between cell apoptosis and accumulation of intracellular Ca
2+
. (F and G) Binding isotherms for SAL and M1
titrated with calcium chloride solution by the ITC assay. (H) The tissue was stained with haematoxylin and eosin. SAL‐induced
neurodegeneration was visualized with silver staining. The scale bars in the slice images of sciatic nerve and other organs are 50 and 100 µM,
respectively. (I) The body weight of mice during the treatment of vehicle, SAL or M1 (n= 6 per group). Data are represented as mean ± SD.
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SAL (Table S11). Thus, SAL was more inclined to target the ACE2
protein than M1, with a stronger binding affinity. The subsequent
experiments unequivocally confirmed this prediction, providing
compelling evidence that SAL had a stronger inhibitory effect
(Figure 2F) on pseudovirus and ACE2 protein (Figure S6C,D). This
method provides new evaluation metrics to enhance the accuracy of
virtual screening.
The implementation of this dual evaluation system enhanced the
accuracy and reliability of the outcomes. These strategies ultimately
guided us to successfully identify an efficient antiviral compound
from a pool of only eight compounds that we had designed and
synthesized. In this experiment, M1 exhibited a broad‐spectrum
antiviral effect against PEDV, TGEV, FIPV, MHV and SARS‐CoV‐2
pseudovirus and could be applied to CoVs as novel therapeutic
approaches. To further highlight the superior antiviral effect of M1,
MEL (a reported anti‐TGEV and anti‐PEDV agent),
48
GC376 (a
3CLpro inhibitor)
49
and GS441524 (an RdRp inhibitor)
50
were
included as positive controls, which have exhibited robust antiviral
activity in previous studies. M1 had a much better antiviral effect
against PEDV and TGEV in vitro than MEL. A similar antiviral effect
among M1, GC376 and GS441524 against TGEV was observed at 24
hpi. Significantly, M1 showed a stronger anti‐PEDV effect than
GC376 at low concentrations of 0.1–2.5 µM at 36 hpi. Moreover, our
recent in vivo experiments have also demonstrated the effectiveness
of M1 at a dosage of 5 mg/kg body weight in treating FIPV infection
of cats (unpublished data).
The remarkable antiviral efficacy exhibited by these compounds
can be largely attributed to their exceptional capacity for dual
targeting. M1 demonstrated an impressive targeted affinity
(K
d
= 6.7 × 10
−8
M) to 3CLpro of TGEV, surpassing the prototype
drug SAL (K
d
= 1.4 × 10
−7
M). It is believed to have equivalent or even
stronger affinity than GC376, which had a K
d
of 5.0 × 10
−7
M for
targeting 3CLpro of SARS‐CoV‐2.
51
Furthermore, 3CL‐TEGV was
employed as a model to successfully predict and identify GLN‐8asa
critical residue involved in the binding interaction between SAL and
its derivatives with 3CL proteins. Moreover, progressive nonlinear
curves were observed in the enzyme kinetic data for 3CLpro, which is
indicative of covalent inhibitors that irreversibly bind to and consume
enzymes. Considering the fact that the target protein 3CL is a viral
protein and that the host APN can be fully eliminated without
adverse effects on overall health,
52,53
it suggests that covalent
inhibitors may offer a more prolonged effect compared to non-
covalent inhibitors.
54
Further investigation is required to establish the
precise inhibitory mechanism of SAL and its derivatives.
Limitations arose due to the unavailability of purified mutant
APN protein with functional activity, preventing a thorough analysis
of the key binding residues between the ligand and APN protein.
Nonetheless, our molecular docking simulations revealed that SAL
binds to active pockets within APN, specifically interacting with GLU‐
384, GLU‐413, and ARG‐437 (Figure S2A), which are close to the
previously reported binding sites of ubenimex (UBE, a classical
enzyme inhibitor of APN) with APN (ALA‐348, GLU‐350, GLU‐384,
and TYR‐472).
55
These binding sites of UBE are considered crucial
for APN catalytic activity, elucidating the reason why SAL and M1
can inhibit APN catalytic activity but with less effectiveness
compared to UBE. The catalytic activity of APN is not required for
virus entry, as the active site of APN is distant from the CoV‐binding
sites. The CoV‐binding sites on APN consist of residues 728 −744 for
TGEV and residues 760 −784 for feline CoV and canine CoV. These
virus‐binding motifs are both α‐helix turns in the head domain of
APN,
55
positioned on the outer surface of the SAL and M1 binding
pockets. Compared to UBE, SAL and M1 exhibit larger chemical
structures and spatial occupancy within the active pocket, along with
closer proximity to the virus‐binding motifs, which may lead to a
more potent allosteric effect on virus attachment and entry. Further
research is needed to unravel the intricacies of the mechanisms
underlying the obstruction of virus‐receptor interactions by SAL
and M1.
The toxicity of SAL derivatives is significantly lower compared to
that of SAL. It has been reported that SAL has extraordinary
biological activity in many fields, but its target uncertainty and serious
dose‐dependent toxicity limit its applications. According to the
literature, the combination and transport ability of alkali metal ions
of SAL is related to its toxic effect.
56
Most SAL derivatives with a
single modification at C1 are much less biologically active than
unmodified SAL against cancers,
57
protozoa
58
and gram‐positive
bacteria.
59,60
These findings indicate that modifying the carbonyl
group at C1 may not be an effective approach, despite its ability to
reduce the toxicity of SAL by decreasing the transport capacity of
alkali metal ions. Improving the efficiency and reducing the toxicity of
SAL simultaneously seems to be a challenge. In this experiment, the
carboxyl group modification at C1 of SAL was designed based on
SBDD to enhance affinity for targets and to reduce toxicity caused by
off target or ion transport without sacrificing antiviral activity
(Figure 7D–G). M1 exhibits much lower toxicity, as evidenced by
its LD
50
value in mice being 27 times higher than SAL (1494–55 mg/
kg body weight). Moreover, oral administration of 50 mg/kg body
weight M1 did not have any adverse effects on cats, whereas a SAL
dose as low as 5 mg/kg body weight could be fatal to them. These
results revealed a new idea to design and synthesize host‐and virus‐
directed hits based on SBDD, which also contributed to the reference
for modification of more than 120 other compounds in the group of
polyether ionophore antibiotics.
5|CONCLUSION
In summary, our findings provide fresh insights into the DTD‐STSBPT
and DS‐STSBPT approaches for drug design. These strategies were
successfully applied in the discovery and modification of antiviral
drugs. The compound M1 that we successfully designed and
synthesized has highly efficient broad‐spectrum activity against
CoVs, as it can inhibit PEDV, TGEV, FIPV, MHV, and SARS‐CoV‐2
pseudovirus. Our work provides a series of promising drug candidates
for the treatment of CoVs, and paves the way for establishing a
scientific methodology to evaluate drug‐target interactions. The
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STSBPT is expected to be a fundamental tool to accelerate the
discovery of both targets and drugs.
AUTHOR CONTRIBUTIONS
Youle Zheng and Xu Wang planned the study. Youle Zheng performed
the research, analysed the data and wrote the initial draft. Jin Feng,
Yanbin Song, Yixin Yu, Min Ling and Mengjia Zhang participated in the
experiments, including cell culture, protein expression and animal
experiments. Haijiao Xie performed theoretical calculations via the
Gaussian 16 suite of programs. Wentao Li and Xu Wang supervised this
study, critically reviewed the final draft and obtained financial support.
All authors have read and approved the final manuscript.
ACKNOWLEDGMENTS
This work was supported by the National Key Research and Develop-
ment Program of China (2023YFD1800801), the National Natural
Science Foundation of China (32272990) and the Fundamental Research
Funds for the Central Universities (2662023DKPY004). We thank the
following investigators for contributing viral stocks: Prof. Qigai He
(PEDV‐DR13 strain).
CONFLICT OF INTEREST STATEMENT
The authors declare no competing interests.
DATA AVAILABILITY STATEMENT
Data are available upon a reasonable request.
ORCID
Wentao Li http://orcid.org/0000-0002-7114-762X
Xu Wang http://orcid.org/0000-0001-6476-0509
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SUPPORTING INFORMATION
Additional supporting information can be found online in the
Supporting Information section at the end of this article.
How to cite this article: Zheng Y, Feng J, Song Y, et al. Design
and synthesis of APN and 3CLpro dual‐target inhibitors based
on STSBPT with anticoronavirus activity. J Med Virol.
2024;96:e29512. doi:10.1002/jmv.29512
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