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NMR of proteins and Nucleic Acids

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... The NMR structure determination of proteins is most typically based on inter-atomic proton-proton distances estimated from measured nuclear Overhauser effect (NOE). 13 As supplementary structural information, chemical shifts of backbone nuclei and occasionally scalar couplings or residual dipolar couplings (RDCs) 14 ...
... The CPMG experiments measured with σ 1:1 samples including stereospecifically labeled methyl groups provided us a complete set of 13 C methyl chemical shifts of the minor state. The most significant changes were identified for 13 C γ -proS of V15, 13 C δ -proS of L19, both methyls in I34, and 13 C δ -proR of L55. All these methyls are located in a proximity of aromatic rings in the major state ( 13 C γ -proS of V15 is close to F41, other mentioned methyls are in the proximity of Y51). ...
... where n was the number of available chemical shift disturbance for backbone nuclei in each residue and the parameters α i were 0.32, 0.19, 0.12, and 1.00 for 13 CO, 13 ...
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σ $$ \sigma $$ factors are essential parts of bacterial RNA polymerase (RNAP) as they allow to recognize promotor sequences and initiate transcription. Domain 1.1 of vegetative σ $$ \sigma $$ factors occupies the primary channel of RNAP and also prevents binding of the σ $$ \sigma $$ factor to promoter DNA alone. Here, we show that domain 1.1 of Bacillus subtilis σ A $$ {\sigma}^A $$ exists in more structurally distinct variants in dynamic equilibrium. The major conformation at room temperature is represented by a previously reported well-folded structure solved by nuclear magnetic resonance (NMR), but 4% of the protein molecules are present in a less thermodynamically favorable state. We show that this population increases with temperature and we predict its significant elevation at higher but still biologically relevant temperatures. We characterized the minor state of the domain 1.1 using specialized methods of NMR. We found that, in contrast to the major state, the detected minor state is partially unfolded. Its propensity to form secondary structure elements is especially decreased for the first and third α $$ \alpha $$ helices, while the second α $$ \alpha $$ helix and β $$ \beta $$ strand close to the C-terminus are more stable. We also analyzed thermal unfolding of the domain 1.1 and performed functional experiments with full length σ A $$ {\sigma}^A $$ and its shortened version lacking domain 1.1 ( σ A _ Δ 1.1 $$ {\sigma}^{A\_\Delta 1.1} $$ ). The results revealed that while full length σ A $$ {\sigma}^{\mathrm{A}} $$ increases transcription activity of RNAP with increasing temperature, transcription with σ A _ Δ 1.1 $$ {\sigma}^{A\_\Delta 1.1} $$ remains constant. In summary, this study reveals conformational dynamics of domain 1.1 and provides a basis for studies of its interaction with RNAP and effects on transcription regulation.
... While nuclear magnetic resonance (NMR) is commonly appreciated for deciphering the structure of large molecules such as proteins [1,2], its potential to probe the mesoscopic structure of disordered media and biological tissues has yet to be fully realized. In this context, the mesoscopic structure is a few orders of magnitude coarser than molecules, but far below the macroscopic sample dimensions (Fig. 1). ...
... One of the main challenges for the mesoscopic NMR and MRI [16,24] is to develop a theory that enables extracting the mesoscopic features of materials or tissues from the measured signal, which would serve a role similar to that of the theory behind quantifying protein structure [1]. However, instead of the J-couplings of the quantum Hamiltonians for the interacting spins in the ''chemical" NMR [3,25], the mesoscopic NMR requires describing the effect of spatially disordered environments of composite materials and living tissues. ...
... This discussion shows that our main result expressed by Eqs. (1) and (2) is universal: The functional form of the relaxation timedependence reflects the scaling of the structural power spectrum for small k, which is independent of individual properties of the magnetized objects. This is illustrated in Appendix B, Fig. B.7, that shows results of MC simulations for the same media as in Fig. 2, but with the magnetized objects made impermeable for diffusing spins, as in our NMR measurement described in Section 2.6. ...
Article
Nuclear magnetic resonance (NMR) has been instrumental in deciphering the structure of proteins. Here we show that transverse NMR relaxation, through its time-dependent relaxation rate, is distinctly sensitive to the structure of complex materials or biological tissues at the mesoscopic scale, from micrometers to tens of micrometers. Based on the ideas of universality, we show analytically and numerically that the time-dependent transverse relaxation rate approaches its long-time limit in a power-law fashion, with the dynamical exponent reflecting the universality class of mesoscopic magnetic structure. The spectral line shape acquires the corresponding non-analytic power law singularity at zero frequency. We experimentally detect the change in the dynamical exponent as a result of the transition into maximally random jammed state characterized by hyperuniform correlations. The relation between relaxational dynamics and magnetic structure opens the way for noninvasive characterization of porous media, complex materials and biological tissues.
... The spectra were assigned according to Wü thrich and used to create ensembles of low energy conformations of the peptide ( Figures 4B-4D). 36 In the case of the free peptide, the histidines pointed to opposite directions ( Figure 4B, root mean square deviation [RMSD] values: backbone 0.86 Å , heavy atoms 2.36 Å , and heavy atoms of His residues 1.39 Å ). After adding 1 molar equiv of Zn 2+ ions, the histidines moved closer in order to coordinate the metal ( Figures 4C and S10B). ...
... 60 Resonance assignment followed the sequential assignment methodology developed by Wü thrich. 36 The three-dimensional structures of the peptides were calculated using XPLOR-NIH (version 3.2) 61,62 by hybrid distance geometry-dynamical simulated annealing. Peak intensities were manually assigned as strong (2.5 Å ), medium (3.5 Å ), weak (4.5 Å ), and very weak (5.5 Å ) with a G0.5 Å error. ...
... 2D 1 H-NMR correlated spectroscopy (COSY), total correlation spectroscopy (TOCSY), and rotating frame Overhauser enhancement spectroscopy (ROESY) measurements were performed to determine the structure of the peptide and of the complex under aqueous and emulsion conditions. The spectra were assigned according to Wüthrich and used to create ensembles of low energy conformations of the peptide (Fig. 4b-e) 31 . In the case of the free peptide, the histidines pointed to opposite directions (Fig. 4b, RMSD values: Backbone 0.86 Å, heavy atoms 2.36 Å, heavy atoms of His residues 1.39 Å). ...
... Spectra were processed and analyzed with TopSpin (Bruker Analytische Messtechnik GmbH) and NMRFAM SPARKY software 50 . Resonance assignment followed the sequential assignment methodology developed by Wüthrich 31 . ...
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Emulsions are commonly used for drug delivery, yet they are usually limited to exclusively delivering either lipophilic compounds or hydrophilic compounds. This separation negates possible synergetic therapeutic roles between such compounds. Here, we introduce a novel design for a short peptide that can stabilize emulsions. Upon binding certain metal ions, the peptide acts as a molecular switch, changes conformation, and becomes amphiphilic. Spectroscopic methods, NMR, and molecular dynamics provide information on the mechanism of this complexation-triggered amphiphilicity. The stability of these unique emulsions is based on histidine-metal bonds, which break at low pH values, selectively releasing their contents at the extracellular pH of tumors. Paclitaxel-encapsulated emulsion demonstrated strong activity against HeLa cells with an IC 50 of 70 nM, possibly enhanced by the simultaneous release of Zn ²⁺ ions. Importantly, the emulsion was easily functionalized with various hexahistidine-tagged motifs that can supply the emulsions with many functions beyond drug delivery.
... Spatial structure calculations were performed in the CYANA software package version 3.98.13 using the simulated annealing/molecular dynamics protocol [27]. Torsion angles restraints, stereospecific assignment and interproton distance restraints were obtained based on the J-couplings and 1 H-1 H NOE (nuclear Overhauser effect) connectivities. ...
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Advancements in medicine and pharmacology have led to the development of systems that deliver biologically active molecules inside cells, increasing drug concentrations at target sites. This improves effectiveness and duration of action and reduces side effects on healthy tissues. Cell-penetrating peptides (CPPs) show promise in this area. While traditional medicinal chemistry methods have been used to develop CPPs, machine learning techniques can speed up and reduce costs in the search for new peptides. A predictive algorithm based on machine learning models was created to identify novel CPP sequences using molecular descriptors using a combination of algorithms like k-nearest neighbors, gradient boosting, and random forest. Some potential CPPs were found and tested for cytotoxicity and penetrating ability. A new low-toxicity CPP was discovered from the Rhopilema esculentum venom proteome through this study.
... The resonance assignments for the 1 H nuclei were obtained by analyzing TOCSY and NOESY spectra, as reported by Wuthrich. 66 The summary of structural statistics and quality analysis for the ensemble structures and the lowenergy structure can be found in Table 2. The 1 H− 1 H NOESY spectra analysis revealed 328 distance restraints for AMP-Cry10Aa and 291 restraints for AMPCry10Aa_5. ...
... The data were subsequently processed using Topspin 4.0.3 (Bruker, Billerica, MA, USA), with a solvent signal reference of 4.77 ppm at 298 K. Sequential assignment strategies [46] were used to assign and analyze the data in the program CARA (Computer Assisted Resonance Assignment) [47]. Additional TOCSY data at varying temperatures (280 K, 293 K, 298 K, 303 K) were recorded to monitor the temperature dependence of the amide protons. ...
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Venom peptides have evolved to target a wide range of membrane proteins through diverse mechanisms of action and structures, providing promising therapeutic leads for diseases, including pain, epilepsy, and cancer, as well as unique probes of ion channel structure-function. In this work, a high-throughput FLIPR window current screening assay on T-type CaV3.2 guided the isolation of a novel peptide named ω-Buthitoxin-Hf1a from scorpion Hottentotta franzwerneri crude venom. At only 10 amino acid residues with one disulfide bond, it is not only the smallest venom peptide known to target T-type CaVs but also the smallest structured scorpion venom peptide yet discovered. Synthetic Hf1a peptides were prepared with C-terminal amidation (Hf1a-NH2) or a free C-terminus (Hf1a-OH). Electrophysiological characterization revealed Hf1a-NH2 to be a concentration-dependent partial inhibitor of CaV3.2 (IC50 = 1.18 μM) and CaV3.3 (IC50 = 0.49 μM) depolarized currents but was ineffective at CaV3.1. Hf1a-OH did not show activity against any of the three T-type subtypes. Additionally, neither form showed activity against N-type CaV2.2 or L-type calcium channels. The three-dimensional structure of Hf1a-NH2 was determined using NMR spectroscopy and used in docking studies to predict its binding site at CaV3.2 and CaV3.3. As both CaV3.2 and CaV3.3 have been implicated in peripheral pain signaling, the analgesic potential of Hf1a-NH2 was explored in vivo in a mouse model of incision-induced acute post-surgical pain. Consistent with this role, Hf1a-NH2 produced antiallodynia in both mechanical and thermal pain.
... The main contributions of this article are as follows: (1) In this paper, a cryo-EM clustering model based on contrast learning is proposed, which is used to complete the feature extraction task of unlabeled cryo-EM images, calculate similar features to generate pseudo-label data, and then complete the classification. (2) This paper proposes to use the frequency domain spatial interpolation method for efficient alignment in each set of data after the classification is completed, and then complete the class average calculation. ...
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Background Cryo-electron microscopy (Cryo-EM) plays an increasingly important role in the determination of the three-dimensional (3D) structure of macromolecules. In order to achieve 3D reconstruction results close to atomic resolution, 2D single-particle image classification is not only conducive to single-particle selection, but also a key step that affects 3D reconstruction. The main task is to cluster and align 2D single-grain images into non-heterogeneous groups to obtain sharper single-grain images by averaging calculations. The main difficulties are that the cryo-EM single-particle image has a low signal-to-noise ratio (SNR), cannot manually label the data, and the projection direction is random and the distribution is unknown. Therefore, in the low SNR scenario, how to obtain the characteristic information of the effective particles, improve the clustering accuracy, and thus improve the reconstruction accuracy, is a key problem in the 2D image analysis of single particles of cryo-EM. Results Aiming at the above problems, we propose a learnable deep clustering method and a fast alignment weighted averaging method based on frequency domain space to effectively improve the class averaging results and improve the reconstruction accuracy. In particular, it is very prominent in the feature extraction and dimensionality reduction module. Compared with the classification method based on Bayesian and great likelihood, a large amount of single particle data is required to estimate the relative angle orientation of macromolecular single particles in the 3D structure, and we propose that the clustering method shows good results. Conclusions SimcryoCluster can use the contrastive learning method to perform well in the unlabeled high-noise cryo-EM single particle image classification task, making it an important tool for cryo-EM protein structure determination
... The full 1 H-13 C HSQC spectrum indicated that neither proteins nor polysaccharides were present in the NA gel isolate (Supplementary Fig. 1) 21 . eDNA fibre networked structures were visible in the polysaccharide mutants and the proteinase K digested PAO1 wildtype biofilms ( Supplementary Fig. 2a-c). ...
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The extracellular matrix of bacterial biofilms consists of diverse components including polysaccharides, proteins and DNA. Extracellular RNA (eRNA) can also be present, contributing to the structural integrity of biofilms. However, technical difficulties related to the low stability of RNA make it difficult to understand the precise roles of eRNA in biofilms. Here, we show that eRNA associates with extracellular DNA (eDNA) to form matrix fibres in Pseudomonas aeruginosa biofilms, and the eRNA is enriched in certain bacterial RNA transcripts. Degradation of eRNA associated with eDNA led to a loss of eDNA fibres and biofilm viscoelasticity. Compared with planktonic and biofilm cells, the biofilm matrix was enriched in specific mRNA transcripts, including lasB (encoding elastase). The mRNA transcripts colocalised with eDNA fibres in the biofilm matrix, as shown by single molecule inexpensive FISH microscopy (smiFISH). The lasB mRNA was also observed in eDNA fibres in a clinical sputum sample positive for P. aeruginosa. Thus, our results indicate that the interaction of specific mRNAs with eDNA facilitates the formation of viscoelastic networks in the matrix of Pseudomonas aeruginosa biofilms.
... DSS was used as a chemical shift standard, and 15 N and 13 C data were referenced using frequency ratios [55]. Peak assignment was performed using the program SPARKY [56] and standard methods [57]. 15 N HSQC spectrum of the final titration step was assigned using the 3D spectrum, programs and methods described for pep3. ...
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Poly‐proline II helices are secondary structure motifs frequently found in ligand‐binding sites. They exhibit increased flexibility and solvent exposure compared to the strongly hydrogen‐bonded α‐helices or β‐strands and can therefore easily be misinterpreted as completely unstructured regions with an extremely high rotational freedom. Here, we show that the adhesin YadA of Yersinia enterocolitica serotype O:9 contains a poly‐proline II helix interaction motif in the N‐terminal region. The motif is involved in the interaction of YadAO:9 with heparin, a host glycosaminoglycan. We show that the basic residues within the N‐terminal motif of YadA are required for electrostatic interactions with the sulfate groups of heparin. Biophysical methods including CD spectroscopy, solution‐state NMR and SAXS all independently support the presence of a poly‐proline helix allowing YadAO:9 binding to the rigid heparin. Lastly, we show that host cells deficient in sulfation of heparin and heparan sulfate are not targeted by YadAO:9‐mediated adhesion. We speculate that the YadAO:9–heparin interaction plays an important and highly strain‐specific role in the pathogenicity of Yersinia enterocolitica serotype O:9.
... Third, we recorded and analyzed nuclear Overhauser effect spectra (NOESY), which allowed us to detect pairs of 1 H atoms lying in close spatial proximity (typically <5 Å) (Wüthrich 1986). We successfully assigned a number of side chain methyl and aromatic groups of both Rec114 and Mei4, which are buried in the core of the protein complex and thus can be used to detect specific residue-residue contacts. ...
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Meiosis-specific Rec114−Mei4 and Mer2 complexes are thought to enable Spo11-mediated DNA double-strand break (DSB) formation through a mechanism that involves DNA-dependent condensation. However, the structure, molecular properties, and evolutionary conservation of Rec114−Mei4 and Mer2 are unclear. Here, we present AlphaFold models of Rec114−Mei4 and Mer2 complexes supported by nuclear magnetic resonance (NMR) spectroscopy, small-angle X-ray scattering (SAXS), and mutagenesis. We show that dimers composed of the Rec114 C terminus form α-helical chains that cup an N-terminal Mei4 α helix, and that Mer2 forms a parallel homotetrameric coiled coil. Both Rec114−Mei4 and Mer2 bind preferentially to branched DNA substrates, indicative of multivalent protein–DNA interactions. Indeed, the Rec114−Mei4 interaction domain contains two DNA-binding sites that point in opposite directions and drive condensation. The Mer2 coiled-coil domain bridges coaligned DNA duplexes, likely through extensive electrostatic interactions along the length of the coiled coil. Finally, we show that the structures of Rec114−Mei4 and Mer2 are conserved across eukaryotes, while DNA-binding properties vary significantly. This work provides insights into the mechanism whereby Rec114−Mei4 and Mer2 complexes promote the assembly of the meiotic DSB machinery and suggests a model in which Mer2 condensation is the essential driver of assembly, with the DNA-binding activity of Rec114−Mei4 playing a supportive role.
... Biophysical characterization of antigenic peptides by nuclear magnetic resonance (NMR) spectroscopy NMR measurements were performed at 2 mM peptide in a DMSO-d6 solution. NMR experiments were recorded using a Bruker Avance III HD 800 MHz spectrometer (Federal University of Rio de Janeiro, Rio de Janeiro, Brazil) at 300 K. Two-dimensional experiments were recorded for sequential NMR assignment (57) and distance restriction derivation. These included 1 H-1 H total correlation spectroscopy using the decoupling in the presence of scalar interactions-2 pulse sequence (58) with water suppression. ...
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COVID-19 has accounted for more than 6 million deaths worldwide. Bacillus Calmette–Guérin (BCG), the existing tuberculosis vaccine, is known to induce heterologous effects over other infections due to trained immunity and has been proposed to be a potential strategy against SARS-CoV-2 infection. In this report, we constructed a recombinant BCG (rBCG) expressing domains of the SARS-CoV-2 nucleocapsid and spike proteins (termed rBCG-ChD6), recognized as major candidates for vaccine development. We investigated whether rBCG-ChD6 immunization followed by a boost with the recombinant nucleocapsid and spike chimera (rChimera), together with alum, provided protection against SARS-CoV-2 infection in K18-hACE2 mice. A single dose of rBCG-ChD6 boosted with rChimera associated with alum elicited the highest anti-Chimera total IgG and IgG2c Ab titers with neutralizing activity against SARS-CoV-2 Wuhan strain when compared with control groups. Importantly, following SARS-CoV-2 challenge, this vaccination regimen induced IFN-γ and IL-6 production in spleen cells and reduced viral load in the lungs. In addition, no viable virus was detected in mice immunized with rBCG-ChD6 boosted with rChimera, which was associated with decreased lung pathology when compared with BCG WT-rChimera/alum or rChimera/alum control groups. Overall, our study demonstrates the potential of a prime-boost immunization system based on an rBCG expressing a chimeric protein derived from SARS-CoV-2 to protect mice against viral challenge.
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Chapter
Residual dipolar couplings (RDCs) are NMR measurements widely used to determine structural and dynamic information in small molecules and large macromolecules. This book provides a broad view of RDCs, from basic principles to advanced applications in organic molecules and biomolecules. Exploring the newest developments in RDC measurement and analysis through authoritative accounts written by leaders in the field, this book provides a comprehensive overview on the fundamentals, analysis and applications in one place for the first time. The versatility and accuracy of RDCs have found a large range of applications in NMR, and their measurement and analysis are major research areas. Readers, be they experts or students, will receive a strong understanding of the fundamentals of RDCs and their applications to their research projects.
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Modern research in biology increasingly relies on multiple techniques for describing structures and mechanisms. This book provides an overview of the contemporary integrated biology approaches for solving structures and understanding mechanisms of complex biological systems. It includes several methodology chapters discussing the current developments in the areas of cryo- electron microscopy (EM) and cryo-electron tomography (ET), computational biophysics, solution NMR spectroscopy, solid-state NMR spectroscopy and dynamic nuclear polarization (DNP), electron paramagnetic resonance (EPR), (photo-)chemically induced dynamic nuclear polarization (CIDNP), X-ray crystallography and small-angle X-ray and neutron scattering (SAXS/SANS). Several subsequent chapters demonstrate how these methods are used in synergy to address problems at the forefront of structural biology, with particular emphasis on examples where individual techniques are insufficient. Examples of biological systems include membrane proteins, viral protein assemblies, cytoskeleton protein assemblies, photosynthetic reaction centers, large enzyme complexes and whole cells. The book is targeted to both the current practitioners of structural biology and scientists who are interested in entering the fields of structural biology or biophysical chemistry.
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This chapter focuses on analytical procedures such as extraction, isolation, and characterization of phytoactive components. The application of conventional phytochemical screening assays, chromatographic techniques such as HPLC and TLC, as well as non-chromatographic techniques such as immunoassay, Fourier transform infrared (FTIR), GCMS, enzymatic extraction, ultrasonic extraction, and other analytical techniques developed recently to the detection of bioactive chemicals present in plant extracts is reviewed. The aim of this chapter is to gain a deep understanding of the fruitful achievements and to provide perspectives, trends, and directions regarding further research in novel extraction and characterization methods for phytochemicals. These efforts have led to the discovery of various important clinical drugs. This chapter also focuses on analytical techniques like phytoactive component extraction, isolation, and characterization. The use of traditional phytochemical screening assays, chromatographic methods like HPLC and TLC, as well as non-chromatographic methods like immunoassay, FTIR, GCMS, enzymatic extraction, ultrasonic extraction, and other analytical methods developed recently is reviewed. This chapter’s goals are to present viewpoints, trends, and directions for future research on novel extraction and characterization techniques for phytochemicals as well as a thorough knowledge of the successful accomplishments.
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