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Mamun Y, Tse-Dinh YC, Chapagain P. Insights into the DNA and RNA Interactions of Human Topoisomerase III Beta Using Molecular Dynamics Simulations. J Chem Inf Model 2024; 64:6062-6071. [PMID: 39024468 PMCID: PMC11323020 DOI: 10.1021/acs.jcim.4c00472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/20/2024]
Abstract
Human topoisomerase III beta (hTOP3B) is the only topoisomerase in the human cell that can act on both DNA and RNA substrates. Recent findings have emphasized the physiological importance of hTOP3B and consolidated it as a valuable drug target for antiviral and anticancer therapeutics. Although type IA topoisomerases of different organisms have been studied over the years, the step-by-step interaction of hTOP3B and nucleic acid substrates is still not well understood. Due to the lack of hTOP3B-RNA structures as well as DNA/RNA covalent complexes, computational investigations have been limited. In our study, we utilized molecular dynamics (MD) simulations to study the interactions between hTOP3B and nucleic acids to get a closer look into the residues that play a role in binding DNA or RNA and facilitate catalysis, along with the differences and similarities when hTOP3B interacts with DNA compared to RNA. For this, we generated multiple models of hTOP3B complexed with DNA and RNA sequences using the hTOP3B crystal structure and 8-mer single-stranded DNA and RNA sequences. These models include both covalent and noncovalent complexes, which are then subjected to MD simulations and analyzed. Our findings highlight the complexes' stability, sequence preference, and interactions of the binding pocket residues with different nucleotides. Our work demonstrates that hTOP3B forms stable complexes with both DNA and RNA and provides a better understanding of the enzyme's interaction with different nucleic acid substrate sequences.
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Affiliation(s)
- Yasir Mamun
- Department
of Chemistry and Biochemistry, Florida International
University, Miami, Florida 33199, United States
| | - Yuk-Ching Tse-Dinh
- Department
of Chemistry and Biochemistry, Florida International
University, Miami, Florida 33199, United States
- Biomolecular
Sciences Institute, Florida International
University, Miami, Florida 33199, United States
| | - Prem Chapagain
- Department
of Physics, Florida International University, Miami, Florida 33199, United States
- Biomolecular
Sciences Institute, Florida International
University, Miami, Florida 33199, United States
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Ukladov EO, Tyugashev TE, Kuznetsov NA. Computational Modeling Study of the Molecular Basis of dNTP Selectivity in Human Terminal Deoxynucleotidyltransferase. Biomolecules 2024; 14:961. [PMID: 39199349 PMCID: PMC11352444 DOI: 10.3390/biom14080961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 08/03/2024] [Accepted: 08/05/2024] [Indexed: 09/01/2024] Open
Abstract
Human terminal deoxynucleotidyl transferase (TdT) can catalyze template-independent DNA synthesis during the V(D)J recombination and DNA repair through nonhomologous end joining. The capacity for template-independent random addition of nucleotides to single-stranded DNA makes this polymerase useful in various molecular biological applications involving sequential stepwise synthesis of oligonucleotides using modified dNTP. Nonetheless, a serious limitation to the applications of this enzyme is strong selectivity of human TdT toward dNTPs in the order dGTP > dTTP ≈ dATP > dCTP. This study involved molecular dynamics to simulate a potential impact of amino acid substitutions on the enzyme's selectivity toward dNTPs. It was found that the formation of stable hydrogen bonds between a nitrogenous base and amino acid residues at positions 395 and 456 is crucial for the preferences for dNTPs. A set of single-substitution and double-substitution mutants at these positions was analyzed by molecular dynamics simulations. The data revealed two TdT mutants-containing either substitution D395N or substitutions D395N+E456N-that possess substantially equalized selectivity toward various dNTPs as compared to the wild-type enzyme. These results will enable rational design of TdT-like enzymes with equalized dNTP selectivity for biotechnological applications.
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Affiliation(s)
- Egor O. Ukladov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia; (E.O.U.); (T.E.T.)
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
| | - Timofey E. Tyugashev
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia; (E.O.U.); (T.E.T.)
| | - Nikita A. Kuznetsov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia; (E.O.U.); (T.E.T.)
- Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia
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Demir Gİ, Tekin A. NICE-FF: A non-empirical, intermolecular, consistent, and extensible force field for nucleic acids and beyond. J Chem Phys 2023; 159:244117. [PMID: 38153156 DOI: 10.1063/5.0176641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/04/2023] [Indexed: 12/29/2023] Open
Abstract
A new non-empirical ab initio intermolecular force field (NICE-FF in buffered 14-7 potential form) has been developed for nucleic acids and beyond based on the dimer interaction energies (IEs) calculated at the spin component scaled-MI-second order Møller-Plesset perturbation theory. A fully automatic framework has been implemented for this purpose, capable of generating well-polished computational grids, performing the necessary ab initio calculations, conducting machine learning (ML) assisted force field (FF) parametrization, and extending existing FF parameters by incorporating new atom types. For the ML-assisted parametrization of NICE-FF, interaction energies of ∼18 000 dimer geometries (with IE < 0) were used, and the best fit gave a mean square deviation of about 0.46 kcal/mol. During this parametrization, atom types apparent in four deoxyribonucleic acid (DNA) bases have been first trained using the generated DNA base datasets. Both uracil and hypoxanthine, which contain the same atom types found in DNA bases, have been considered as test molecules. Three new atom types have been added to the DNA atom types by using IE datasets of both pyrazinamide and 9-methylhypoxanthine. Finally, the last test molecule, theophylline, has been selected, which contains already-fitted atom-type parameters. The performance of NICE-FF has been investigated on the S22 dataset, and it has been found that NICE-FF outperforms the well-known FFs by generating the most consistent IEs with the high-level ab initio ones. Moreover, NICE-FF has been integrated into our in-house developed crystal structure prediction (CSP) tool [called FFCASP (Fast and Flexible CrystAl Structure Predictor)], aiming to find the experimental crystal structures of all considered molecules. CSPs, which were performed up to 4 formula units (Z), resulted in NICE-FF being able to locate almost all the known experimental crystal structures with sufficiently low RMSD20 values to provide good starting points for density functional theory optimizations.
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Affiliation(s)
- Gözde İniş Demir
- Informatics Institute, Istanbul Technical University, 34469 Maslak, Istanbul, Türkiye
| | - Adem Tekin
- Informatics Institute, Istanbul Technical University, 34469 Maslak, Istanbul, Türkiye
- Research Institute for Fundamental Sciences (TÜBİTAK-TBAE), Kocaeli, Türkiye
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Winkler L, Galindo-Murillo R, Cheatham TE. Assessment of A- to B- DNA Transitions Utilizing the Drude Polarizable Force Field. J Chem Theory Comput 2023; 19:8955-8966. [PMID: 38014857 PMCID: PMC10720382 DOI: 10.1021/acs.jctc.3c01002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 11/12/2023] [Accepted: 11/13/2023] [Indexed: 11/29/2023]
Abstract
In addition to the well-characterized B-form of DNA, duplex DNA can adopt various conformations, such as A or Z-DNA. Though less common, these structures can be induced biologically through protein or ligand interactions or experimentally with niche environmental conditions, such as high salt concentrations or in mixed water-ethanol. Reproducing these alternate structures through molecular dynamics simulations in recent years has been quite challenging with the currently available force fields, simulation techniques, and time scales. In this study, the Drude polarizable force field is tested for its ability to facilitate transitions between A-DNA and B-DNA or maintain A-DNA. Though transitions away from B-DNA were observed in high concentrations of ethanol, the resulting structures had hybrid properties taken from both B-DNA and A-DNA structures. This was also true for A-DNA in ethanol, which lost some of the A-DNA properties that it was expected to maintain. When B-DNA was tested in high salt environments, the resulting B-DNA structures showed no distinguishable differences with the increasing salt concentrations tested. These results with the Drude FF and recent results with additive force fields suggest that at present the current additive and polarizable force fields do not facilitate a complete transition between B- to A-DNA conformations under the conditions simulated. At present, the Drude FF favors A-B DNA hybrid structures when simulated in nonphysiological conditions.
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Affiliation(s)
- Lauren Winkler
- Department
of Medicinal Chemistry, College of Pharmacy, University of Utah, 2000 East 30 South Skaggs 306, Salt Lake City, Utah 84112,United States
| | - Rodrigo Galindo-Murillo
- Department
of Medicinal Chemistry, Ionis Pharmaceuticals, 2855 Gazelle Court, Carlsbad, California 92010, United States
| | - Thomas E. Cheatham
- Department
of Medicinal Chemistry, College of Pharmacy, University of Utah, 2000 East 30 South Skaggs 306, Salt Lake City, Utah 84112,United States
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Zubova EA, Strelnikov IA. Experimental detection of conformational transitions between forms of DNA: problems and prospects. Biophys Rev 2023; 15:1053-1078. [PMID: 37974981 PMCID: PMC10643659 DOI: 10.1007/s12551-023-01143-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 09/06/2023] [Indexed: 11/19/2023] Open
Abstract
Under different conditions, the DNA double helix can take different geometric forms. Of the large number of its conformations, in addition to the "canonical" B form, the A, C, and Z forms are widely known, and the D, Hoogsteen, and X forms are less known. DNA locally takes the A, C, and Z forms in the cell, in complexes with proteins. We compare different methods for detecting non-canonical DNA conformations: X-ray, IR, and Raman spectroscopy, linear and circular dichroism in both the infrared and ultraviolet regions, as well as NMR (measurement of chemical shifts and their anisotropy, scalar and residual dipolar couplings and inter-proton distances from NOESY (nuclear Overhauser effect spectroscopy) data). We discuss the difficulties in applying these methods, the problems of theoretical interpretation of the experimental results, and the prospects for reliable identification of non-canonical DNA conformations.
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Affiliation(s)
- Elena A. Zubova
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 4 Kosygin St., Moscow, 119991 Russia
| | - Ivan A. Strelnikov
- N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 4 Kosygin St., Moscow, 119991 Russia
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Mu ZC, Tan YL, Liu J, Zhang BG, Shi YZ. Computational Modeling of DNA 3D Structures: From Dynamics and Mechanics to Folding. Molecules 2023; 28:4833. [PMID: 37375388 DOI: 10.3390/molecules28124833] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/11/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
DNA carries the genetic information required for the synthesis of RNA and proteins and plays an important role in many processes of biological development. Understanding the three-dimensional (3D) structures and dynamics of DNA is crucial for understanding their biological functions and guiding the development of novel materials. In this review, we discuss the recent advancements in computer methods for studying DNA 3D structures. This includes molecular dynamics simulations to analyze DNA dynamics, flexibility, and ion binding. We also explore various coarse-grained models used for DNA structure prediction or folding, along with fragment assembly methods for constructing DNA 3D structures. Furthermore, we also discuss the advantages and disadvantages of these methods and highlight their differences.
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Affiliation(s)
- Zi-Chun Mu
- Research Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China
- School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan 430073, China
| | - Ya-Lan Tan
- Research Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China
| | - Jie Liu
- Research Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China
| | - Ben-Gong Zhang
- Research Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China
| | - Ya-Zhou Shi
- Research Center of Nonlinear Science, School of Mathematical & Physical Sciences, Wuhan Textile University, Wuhan 430073, China
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