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Mechanisms of HT and EET in DNA. (a) G-to-G consecutive hole hopping, (b) G–X–G (X = A, C, or T) hole tunnelling, (c) T-to-T consecutive excess electron hopping, and (d) T–Y–T excess electron tunnelling. Eox and Ered are oxidation and reduction potentials, respectively. Note: Eox(G) < Eox(X), while Ered(T) > Ered(Y)

Mechanisms of HT and EET in DNA. (a) G-to-G consecutive hole hopping, (b) G–X–G (X = A, C, or T) hole tunnelling, (c) T-to-T consecutive excess electron hopping, and (d) T–Y–T excess electron tunnelling. Eox and Ered are oxidation and reduction potentials, respectively. Note: Eox(G) < Eox(X), while Ered(T) > Ered(Y)

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In the past few decades, charge transfer in DNA has attracted considerable attention from researchers in a wide variety of fields, including bioscience, physical chemistry, and nanotechnology. Charge transfer in DNA has been investigated using various techniques. Among them, time-resolved spectroscopic methods have yielded valuable information on c...

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... Marguet et al. state that the interpretation of Ref. [12] was oversimplified [13]. Moreover, the charge-transfer dynamics in DNA have also been studied by time-resolved spectroscopy [14]. More interestingly, the development of multipulse configuration has been extended to UV regions and its application in 2D ES was achieved by Prokhorenko and coworkers [15] in 2016. ...
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Investigating exciton dynamics within DNA nucleobases is essential for comprehensively understanding how inherent photostability mechanisms function at the molecular level, particularly in the context of life’s resilience to solar radiation. In this paper, we introduce a mathematical model that effectively simulates the photoexcitation and deactivation dynamics of nucleobases within an ultrafast timeframe, particularly focusing on wave-packet dynamics under conditions of strong nonadiabatic coupling. Employing the hierarchy equation of motion, we simulate two-dimensional electronic spectra (2DES) and calibrate our model by comparing it with experimentally obtained spectra. This study also explores the effects of base stacking on the photo-deactivation dynamics in DNA. Our results demonstrate that, while strong excitonic interactions between nucleobases are present, they have a minimal impact on the deactivation dynamics of the wave packet in the electronic excited states. We further observe that the longevity of electronic excited states increases with additional base stacking and pairing, a phenomenon accurately depicted by our excitonic model. This model enables a detailed examination of the wave packet’s motion on electronic excited states and its rapid transition to the ground state. Additionally, using this model, we studied base stacks in DNA hairpins to effectively capture the primary exciton dynamics at a reasonable computational scale. Overall, this work provides a valuable framework for studying exciton dynamics from single nucleobases to complex structures such as DNA hairpins.
... Thymine-adenine-thymine (TAT) is a representative base triplet, which consists of one charge donor and two charge acceptors [11][12][13][14][15][16]. Adenine (A) is oxidized and can be used as a hole carrier, while thymine (T) is reduced and regarded as an electron carrier [17,18]. T and A form a dimer through the Watson-Crick structure, and the third base T is parallel to A and connected by hydrogen bonds to form a stable base triplet structure [19][20][21][22]. ...
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The short-range charge transfer of DNA base triplets has wide application prospects in bioelectronic devices for identifying DNA bases and clinical diagnostics, and the key to its development is to understand the mechanisms of short-range electron dynamics. However, tracing how electrons are transferred during the short-range charge transfer of DNA base triplets remains a great challenge. Here, by means of ab initio molecular dynamics and Ehrenfest dynamics, the nuclear–electron interaction in the thymine-adenine-thymine (TAT) charge transfer process is successfully simulated. The results show that the electron transfer of TAT has an oscillating phenomenon with a period of 10 fs. The charge density difference proves that the charge transfer proportion is as high as 59.817% at 50 fs. The peak position of the hydrogen bond fluctuates regularly between −0.040 and −0.056. The time-dependent Marcus–Levich–Jortner theory proves that the vibrational coupling between nucleus and electron induces coherent electron transfer in TAT. This work provides a real-time demonstration of the short-range coherent electron transfer of DNA base triplets and establishes a theoretical basis for the design and development of novel biological probe molecules.
... This discovery, made in 1993, opened the field of charge transport through nucleic acids. Since then, the conductivity of DNA has been demonstrated in numerous experiments (Fujitsuka and Majima 2017;Genereux and Barton 2010;Wagenknecht 2006). Beyond the aim of understanding the biological relevance, the main focus has been on the distances that can be covered in the process and the different types and mechanisms of charge transport. ...
... Although so far the high complexity of the system has partially hindered a complete characterization of the charge transfer processes in DNA, recent technical advances in spectroscopic instrumentation contributed to enhance our understanding of the kinetics of such phenomena. That is, starting from the first direct measurement of the photoinduced hole transport in DNA by time-resolved spectroscopy [3], several experimental works have contributed to shed light on this subject [4][5][6][7][8][9][10][11]. In particular, DNA hole transfer kinetics through π-stack arrays have been proved to depend not only from the redox potential of the single nucleobases but also on the DNA specific sequence and conformation [12] as revealed by means of time-resolved spectroscopic data. ...
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... Extensive investigation by researchers all over the world have discovered the amazing biochemical mechanisms, charge transfer, and semiconducting characteristics in DNA [5,6]. In the microscopic dimension compatible to a quantum well superlattice, the knowledge gained from semiconductor science can be applied and used to supplement to a better understanding of DNA [7][8][9] or vice versa. ...
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... This figure is adapted from Ref. 34. transport over nanometer scales because the charge transfer dynamics is limited by hopping among specific DNA nucleobases or nucleobase "islands" (typically purines for hole transport). 30,31 Achieving ratcheted charge transport in nucleic acids or other macromolecules may create novel opportunities to realize moleculebased circuitry in self-assembling matter. 32,33 In contrast to prior studies, which focused mainly on solid-state electronics, the ratchets explored here are based on a bottom-up approach with selfassembling soft matter. ...
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... Indeed, this reactivity is by far the most involved in oxidative DNA damage, initiated by reactive oxygen species (ROS) generated by normal cellular metabolism, or by exogenous sources such as ionizing or ultraviolet irradiation [1][2][3]. In the thirty years since the discovery of long-range charge transport in DNA, as reviewed by Barton and coworkers [4][5][6], a large body of experimental data have accumulated showing that the one-electron oxidation of DNA produces a hole that can migrate through the double helix with the final destination at the G sites [4][5][6][7][8][9][10]. Among the four common DNA bases (A, G, T, and C), G is the most readily oxidized to the G radical cation (G •+ ), which is also the putative initial intermediate in the oxidative DNA damage. ...
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... Sequences d-B n -a can be identified by different hopping rates between bases. Measured hopping rates for A-A or G-G present values to be 1.2 × 10 9 and 4.3 × 10 9 Hz, respectively (Fujitsuka and Majima, 2017). Long-range electron transfer is based on multistep hopping mechanisms and intra-and inter-strand hopping rates, as well as activation energy, between nucleotides depends on the bases involved. ...
... Long-range electron transfer is based on multistep hopping mechanisms and intra-and inter-strand hopping rates, as well as activation energy, between nucleotides depends on the bases involved. For example, GAC presents an intra-stand hole hopping rate ~10 6 Hz and an activation energy ~0.3eV, while GAAC ~10 4 Hz and ~0.53eV, respectively (Fujitsuka and Majima, 2017). Sequences as GAG and GAAG, again, present the more relevant changes due to insertion of an additional nucleotide A, going from ~5⋅10 7 (Hz) and ~0.2eV for GAG, to 10 5 (Hz) and ~0.45eV. ...
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Protein-DNA interactions play a fundamental role in all life systems. A critical issue of such interactions is given by the strategy of protein search for specific targets on DNA. The mechanisms by which the protein are able to find relatively small cognate sequences, typically 15–20 base pairs (bps) for repressors, and 4–6 bps for re-striction enzymes among the millions of bp of non-specific chromosomal DNA have hardly engaged researchers for decades. Recent experimental studies have generated new insights on the basic processes of protein-DNA interactions evidencing the underlying complex dynamic phenomena involved, which combine three- dimensional and one-dimensional motion along the DNA chain. It has been demonstrated that protein mole-cules have an extraordinary ability to find the target very quickly on the DNA chain, in some cases, with two orders of magnitude faster than the diffusion limit. This unique property of protein-DNA search mechanism is known as facilitated diffusion. Several theoretical mechanisms have been suggested to describe the origin of facilitated diffusion. However, none of such models currently has the ability to fully describe the protein search strategy. In this paper, we suggest that the ability of proteins to identify consensus sequences on DNA is based on the entanglement of π-π electrons between DNA nucleotides and protein amino acids. The π-π entanglement is based on Quantum Walk (QW), through Coin-position entanglement (CPE). First, the protein identifies a dimer belonging to the consensus sequence, and localize a π on such dimer, hence, the other π electron scans the DNA chain until the sequence is identified. Focusing on the example of recognition of consensus sequences of EcoRV or EcoRI, we will describe the quantum features of QW on protein-DNA complexes during the search strategy, such as walker quadratic spreading on a coherent superposition of different vertices and environment-supported long- time survival probability of the walker. We will employ both discrete- or continuous-time versions of QW. Biased and unbiased classical Random Walk (CRW) have been used for a long time to describe the Protein-DNA search strategy. QW, the quantum version of CRW, has been widely studied for its applications in quantum information applications. In our biological application, the walker (the protein) resides at a vertex in a graph (the DNA structural topology). Differently to CRW, where the walker moves randomly, the quantum walker can hop along the edges in the graph to reach other vertices entering coherently a superposition across different vertices spreading quadratically faster than CRW analogous evidencing the typical speed up features of the QW. When applied to a protein-DNA target search problem, QW gives the possibility to achieve the experimental diffusional motion of proteins over diffusion classical limits experienced along DNA chains exploiting quantum features such as CPE and long-time survival probability supported by the environment. In turn, we come to the conclusion that, under quantum picture, the protein search strategy does not distinguish between one-dimensional (1D) and three-dimensional (3D) cases.
... Sequences d-B n -a can be identified by different hopping rates between bases. Measured hopping rates for A-A or G-G present values to be 1.210 9 and 4.310 9 Hz, respectively [69]. Long-range electron transfer is based on multistep hopping mechanisms and intra-and inter-strand hopping rates, as well as activation energy, between nucleotides depends by the bases involved. ...
... Long-range electron transfer is based on multistep hopping mechanisms and intra-and inter-strand hopping rates, as well as activation energy, between nucleotides depends by the bases involved. For example, GAC presents an intra-stand hole hopping rate ~10 6 Hz and an activation energy ~0.3eV, while GAAC ~10 4 Hz and ~0.53eV, respectively [69]. Sequences as GAG and GAAG, again, present the more relevant changes due to insertion of an additional nucleotide A, going from ~510 7 (Hz) and ~0.2eV for GAG, to 10 5 (Hz) and ~0.45eV. ...
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Protein-DNA interactions play a fundamental role in all life systems. A critical issue of such interactions is given by the strategy of protein search for specific targets on DNA. The mechanisms by which the protein are able to find relatively small cognate sequences, typically 15-20 base pairs (bps) for repressors, and 4-6 bps for restriction enzymes among the millions of bp of non-specific chromosomal DNA have hardly engaged researcher for decades. Recent experimental studies have generated new insights on the basic processes of protein-DNA interactions evidencing the underlying complex dynamic phenomena involved, which combine three-dimensional and one-dimensional motion along the DNA chain. It has been demonstrated that protein molecules spend most of search time on the DNA chain with an extraordinary ability to find the target very quickly, in some cases, with two orders of magnitude faster than the diffusion limit. This unique property of protein-DNA search mechanism is known as facilitated diffusion . Several theoretical mechanisms have been suggested to describe the origin of facilitated diffusion. However, none of such models currently has the ability to fully describe the protein search strategy. In this paper, we suggest that the ability of proteins to identify consensus sequence on DNA is based on the entanglement of π-π electrons between DNA nucleotides and protein amino acids. The π-π entanglement is based on Quantum Walk (QW), through Coin-position entanglement (CPE). First, the protein identifies a dimer belonging to the consensus sequence, and localize a π on such dimer, hence, the other π electron scans the DNA chain until the sequence is identified. By focusing on the example of recognition of consensus sequences by EcoRV or EcoRI, we will describe the quantum features of QW on protein-DNA complexes during search strategy, such as walker quadratic spreading on a coherent superposition of different vertices and environment-supported long-time survival probability of the walker. We will employ both discrete- or continuous-time versions of QW. Biased and unbiased classical Random Walk (CRW) has been used for a long time to describe Protein-DNA search strategy. QW, the quantum version of CRW, have been widely studied for its applications in quantum information applications. In our biological application, the walker (the protein) resides at a vertex in a graph (the DNA structural topology). Differently to CRW, where the walker moves randomly, the quantum walker can hop along the edges in the graph to reach other vertices entering coherently a superposition across different vertices spreading quadratically faster than CRW analogous evidencing the typical speed up features of the QW. When applied to protein-DNA target search problem, QW gives the possibility to achieve the experimental diffusional motion of proteins over diffusion classical limits experienced along DNA chains exploiting quantum features such as CPE and long-time survival probability supported by environment. In turn, we come to the conclusion that, under quantum picture, the protein search strategy does not distinguish between one-dimensional (1D) and three-dimensional (3D) case. Significance Most biological processes are associated to specific protein molecules binding to specific target sequences of DNA. Experiments have revealed a paradoxical phenomenon that can be synthesized as follows: proteins generally diffuse on DNA very slowly, but they can find targets very fast overwhelming two orders of magnitude faster than the diffusion limit. This paradox is known as facilitated diffusion . In this paper, we demonstrate that the paradox is solved by invoking the quantum walk picture for protein search strategy. This because the protein exploits quantum properties, such as long-time survival probability due to coherence shield induced by environment and coin-position entanglement to identify consensus sequence, in searching strategy. To our knowledge, this is the first application of quantum walk to the problem of protein-DNA target search strategy.
... In this work, the authors study terminated carbon chains of two to eight carbon atoms, and report that the increase of the wire length alters its function from an electron donor to an electron acceptor, but no transfer rate was reported. Experience from experiments of charge transfer along DNA shows that possibly a direct approach for this aim could be time-resolved spectroscopy [10][11][12][13][14][15][16]. ...
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