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Hua Y, Huang D, Liang L, Qian X, Dai X, Xu Y, Qiu H, Lu T, Liu H, Chen Y, Zhang Y. FSDscore: An Effective Target-focused Scoring Criterion for Virtual Screening. Mol Inform 2023; 42:e2200039. [PMID: 36372777 DOI: 10.1002/minf.202200039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 11/12/2022] [Indexed: 11/15/2022]
Abstract
Improving screening efficiency is one of the most challenging tasks of virtual screening (VS). In this work, we propose an effective target-focused scoring criterion for VS and apply it to the screening of a specific target scaffold replacement library constructed by enumeration of suitable substitution fragments and R-groups of known ligands. This criterion is based on both ligand- and structure-based scoring methods, which includes feature maps, 3D shape similarity, and the pairwise distance information between proteins and ligands (FSDscore). It is precisely due to the hybrid advantages of ligand- and structure-based approaches that FSDscore performs far better on the validation dataset than other scoring methods. We apply FSDscore to the VS of different kinase targets, MERTK (Mer tyrosine kinase) and ABL1 (tyrosine-protein kinase ABL1) in order to avoid occasionality. Finally, a VS case study shows the potential and effectiveness of our scoring criterion in drug discovery and molecular dynamics simulation further verifies its powerful ability.
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Affiliation(s)
- Yi Hua
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Dingfang Huang
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Li Liang
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Xu Qian
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Xiaowen Dai
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Yuan Xu
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Haodi Qiu
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Tao Lu
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China.,State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tongjiaxiang, Nanjing, 210009, China
| | - Haichun Liu
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Yadong Chen
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
| | - Yanmin Zhang
- Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, 639 Longmian Avenue, Nanjing, 211198, China
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Olson WK, Li Y, Fenley MO. Insights into DNA solvation found in protein-DNA structures. Biophys J 2022; 121:4749-4758. [PMID: 36380591 PMCID: PMC9808563 DOI: 10.1016/j.bpj.2022.11.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/31/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022] Open
Abstract
The proteins that bind double-helical DNA present various microenvironments that sense and/or induce signals in the genetic material. The high-resolution structures of protein-DNA complexes reveal the nature of both the microenvironments and the conformational responses in DNA and protein. Complex networks of interactions within the structures somehow tie the protein and DNA together and induce the observed spatial forms. Here we show how the cumulative buildup of amino acid atoms around the sugars, phosphates, and bases in different protein-DNA complexes produces a binding cloud around the double helix and how different types of atoms fill that cloud. Rather than focusing on the principles of molecular binding and recognition suggested by the arrangements of amino acids and nucleotides in the macromolecular complexes, we consider the proteins in contact with DNA as organized solvents. We describe differences in the mix of atoms that come in closest contact with DNA, subtle sequence-dependent features in the microenvironment of the sugar-phosphate backbone, a direct link between the localized buildup of ionic species and the electrostatic potential surfaces of the DNA bases, and sites of atomic buildup above and below the basepair planes that transmit the unique features of the base environments along the chain backbone. The inferences about solvation that can be drawn from the survey provide new stimuli for improvement of nucleic acid force fields and fresh ideas for exploration of the properties of DNA in solution.
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Affiliation(s)
- Wilma K Olson
- Department of Chemistry and Chemical Biology and Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, New Jersey.
| | - Yun Li
- Department of Chemistry and Chemical Biology and Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, New Jersey
| | - Marcia O Fenley
- Department of Chemistry and Chemical Biology and Center for Quantitative Biology, Rutgers, the State University of New Jersey, Piscataway, New Jersey; Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida
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3
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Hydration of proteins and nucleic acids: Advances in experiment and theory. A review. Biochim Biophys Acta Gen Subj 2016; 1860:1821-35. [PMID: 27241846 DOI: 10.1016/j.bbagen.2016.05.036] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Revised: 05/20/2016] [Accepted: 05/26/2016] [Indexed: 11/21/2022]
Abstract
BACKGROUND Most biological processes involve water, and the interactions of biomolecules with water affect their structure, function and dynamics. SCOPE OF REVIEW This review summarizes the current knowledge of protein and nucleic acid interactions with water, with a special focus on the biomolecular hydration layer. Recent developments in both experimental and computational methods that can be applied to the study of hydration structure and dynamics are reviewed, including software tools for the prediction and characterization of hydration layer properties. MAJOR CONCLUSIONS In the last decade, important advances have been made in our understanding of the factors that determine how biomolecules and their aqueous environment influence each other. Both experimental and computational methods contributed to the gradually emerging consensus picture of biomolecular hydration. GENERAL SIGNIFICANCE An improved knowledge of the structural and thermodynamic properties of the hydration layer will enable a detailed understanding of the various biological processes in which it is involved, with implications for a wide range of applications, including protein-structure prediction and structure-based drug design.
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4
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Biedermannová L, Schneider B. Structure of the ordered hydration of amino acids in proteins: analysis of crystal structures. ACTA CRYSTALLOGRAPHICA. SECTION D, BIOLOGICAL CRYSTALLOGRAPHY 2015; 71:2192-202. [PMID: 26527137 PMCID: PMC4631476 DOI: 10.1107/s1399004715015679] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 08/20/2015] [Indexed: 12/22/2022]
Abstract
Crystallography provides unique information about the arrangement of water molecules near protein surfaces. Using a nonredundant set of 2818 protein crystal structures with a resolution of better than 1.8 Å, the extent and structure of the hydration shell of all 20 standard amino-acid residues were analyzed as function of the residue conformation, secondary structure and solvent accessibility. The results show how hydration depends on the amino-acid conformation and the environment in which it occurs. After conformational clustering of individual residues, the density distribution of water molecules was compiled and the preferred hydration sites were determined as maxima in the pseudo-electron-density representation of water distributions. Many hydration sites interact with both main-chain and side-chain amino-acid atoms, and several occurrences of hydration sites with less canonical contacts, such as carbon-donor hydrogen bonds, OH-π interactions and off-plane interactions with aromatic heteroatoms, are also reported. Information about the location and relative importance of the empirically determined preferred hydration sites in proteins has applications in improving the current methods of hydration-site prediction in molecular replacement, ab initio protein structure prediction and the set-up of molecular-dynamics simulations.
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Affiliation(s)
- Lada Biedermannová
- Laboratory of Biomolecular Recognition, Institute of Biotechnology CAS, Videnska 1083, 142 20 Prague, Czech Republic
| | - Bohdan Schneider
- Laboratory of Biomolecular Recognition, Institute of Biotechnology CAS, Videnska 1083, 142 20 Prague, Czech Republic
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5
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Srivastava HK, Chourasia M, Kumar D, Sastry GN. Comparison of Computational Methods to Model DNA Minor Groove Binders. J Chem Inf Model 2011; 51:558-71. [DOI: 10.1021/ci100474n] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Hemant Kumar Srivastava
- Molecular Modelling Group, Indian Institute of Chemical Technology, Taranaka, Hyderabad 500 607, India
| | - Mukesh Chourasia
- Molecular Modelling Group, Indian Institute of Chemical Technology, Taranaka, Hyderabad 500 607, India
| | - Devesh Kumar
- Molecular Modelling Group, Indian Institute of Chemical Technology, Taranaka, Hyderabad 500 607, India
| | - G. Narahari Sastry
- Molecular Modelling Group, Indian Institute of Chemical Technology, Taranaka, Hyderabad 500 607, India
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6
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Collar CJ, Lee M, Wilson WD. Setting Anchor in the Minor Groove: in Silico Investigation into Formamido N-Methylpyrrole and N-Methylimidazole Polyamides Bound by Cognate DNA Sequences. J Chem Inf Model 2010; 50:1611-22. [DOI: 10.1021/ci100191a] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Catharine J. Collar
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303 and Department of Chemistry, Division of Natural and Applied Sciences, Hope College, Holland, Michigan 49423
| | - Moses Lee
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303 and Department of Chemistry, Division of Natural and Applied Sciences, Hope College, Holland, Michigan 49423
| | - W. David Wilson
- Department of Chemistry, Georgia State University, Atlanta, Georgia 30303 and Department of Chemistry, Division of Natural and Applied Sciences, Hope College, Holland, Michigan 49423
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Zakrzewska K, Bouvier B, Michon A, Blanchet C, Lavery R. Protein-DNA binding specificity: a grid-enabled computational approach applied to single and multiple protein assemblies. Phys Chem Chem Phys 2009; 11:10712-21. [PMID: 20145815 DOI: 10.1039/b910888m] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
We use a physics-based approach termed ADAPT to analyse the sequence-specific interactions of three proteins which bind to DNA on the side of the minor groove. The analysis is able to estimate the binding energy for all potential sequences, overcoming the combinatorial problem via a divide-and-conquer approach which breaks the protein-DNA interface down into a series of overlapping oligomeric fragments. All possible base sequences are studied for each fragment. Energy minimisation with an all-atom representation and a conventional force field allows for conformational adaptation of the DNA and of the protein side chains for each new sequence. As a result, the analysis depends linearly on the length of the binding site and complexes as large as the nucleosome can be treated, although this requires access to grid computing facilities. The results on the three complexes studied are in good agreement with experiment. Although they all involve significant DNA deformation, it is found that this does not necessarily imply that the recognition will be dominated by the sequence-dependent mechanical properties of DNA.
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Affiliation(s)
- Krystyna Zakrzewska
- Institut de Biologie et Chimie des Protéines, CNRS UMR 5086/Université de Lyon, 7 passage du Vercors, 69367 Lyon, France.
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Spitzer GM, Wellenzohn B, Markt P, Kirchmair J, Langer T, Liedl KR. Hydrogen-bonding patterns of minor groove-binder-DNA complexes reveal criteria for discovery of new scaffolds. J Chem Inf Model 2009; 49:1063-9. [PMID: 19275189 DOI: 10.1021/ci800455f] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Minor groove-binding ligands are able to control gene expression and are of great interest for therapeutic applications. We extracted hydrogen-bonding geometries from all available structures of minor groove-binder-DNA complexes of two noncovalent binding modes, namely 1:1 (including hairpin and cyclic ligands) and 2:1 ligand/DNA binding. Positions of the ligand atoms involved in hydrogen bonding deviate from idealized hydrogen bond geometries and do not exploit the possibilities indicated by water molecules. Therefore, we suggest the inclusion of shape-based descriptors rather than hydrogen-bond patterns in virtual screening protocols for the identification of innovative minor groove-binding scaffolds.
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Affiliation(s)
- Gudrun M Spitzer
- Institute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innrain 52a, A-6020 Innsbruck, Austria.
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9
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Spitzer GM, Fuchs JE, Markt P, Kirchmair J, Wellenzohn B, Langer T, Liedl KR. Sequence-Specific Positions of Water Molecules at the Interface between DNA and Minor Groove Binders. Chemphyschem 2008; 9:2766-71. [DOI: 10.1002/cphc.200800647] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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10
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Moitessier N, Englebienne P, Lee D, Lawandi J, Corbeil CR. Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go. Br J Pharmacol 2008; 153 Suppl 1:S7-26. [PMID: 18037925 PMCID: PMC2268060 DOI: 10.1038/sj.bjp.0707515] [Citation(s) in RCA: 316] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2007] [Revised: 09/18/2007] [Accepted: 09/24/2007] [Indexed: 11/08/2022] Open
Abstract
Accelerating the drug discovery process requires predictive computational protocols capable of reducing or simplifying the synthetic and/or combinatorial challenge. Docking-based virtual screening methods have been developed and successfully applied to a number of pharmaceutical targets. In this review, we first present the current status of docking and scoring methods, with exhaustive lists of these. We next discuss reported comparative studies, outlining criteria for their interpretation. In the final section, we describe some of the remaining developments that would potentially lead to a universally applicable docking/scoring method.
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Affiliation(s)
- N Moitessier
- Department of Chemistry, McGill University, Montréal, Québec, Canada.
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11
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Araúzo-Bravo MJ, Sarai A. Indirect readout in drug-DNA recognition: role of sequence-dependent DNA conformation. Nucleic Acids Res 2008; 36:376-86. [PMID: 18039704 PMCID: PMC2241865 DOI: 10.1093/nar/gkm892] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2007] [Revised: 09/22/2007] [Accepted: 10/03/2007] [Indexed: 11/13/2022] Open
Abstract
DNA-binding drugs have numerous applications in the engineered gene regulation. However, the drug-DNA recognition mechanism is poorly understood. Drugs can recognize specific DNA sequences not only through direct contacts but also indirectly through sequence-dependent conformation, in a similar manner to the indirect readout mechanism in protein-DNA recognition. We used a knowledge-based technique that takes advantage of known DNA structures to evaluate the conformational energies. We built a dataset of non-redundant free B-DNA crystal structures to calculate the distributions of adjacent base-step and base-pair conformations, and estimated the effective harmonic potentials of mean force (PMF). These PMFs were used to calculate the conformational energy of drug-DNA complexes, and the Z-score as a measure of the binding specificity. Comparing the Z-scores for drug-DNA complexes with those for free DNA structures with the same sequence, we observed that in several cases the Z-scores became more negative upon drug binding. Furthermore, the specificity is position-dependent within the drug-bound region of DNA. These results suggest that DNA conformation plays an important role in the drug-DNA recognition. The presented method provides a tool for the analysis of drug-DNA recognition and can facilitate the development of drugs for targeting a specific DNA sequence.
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Affiliation(s)
| | - Akinori Sarai
- Department of Biosciences and Bioinformatics, Kyushu Institute of Technology, Iizuka, Fukuoka, 820-8502, Japan
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12
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Lu XJ, Olson WK. 3DNA: a versatile, integrated software system for the analysis, rebuilding and visualization of three-dimensional nucleic-acid structures. Nat Protoc 2008; 3:1213-27. [PMID: 18600227 PMCID: PMC3065354 DOI: 10.1038/nprot.2008.104] [Citation(s) in RCA: 492] [Impact Index Per Article: 30.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
We present a set of protocols showing how to use the 3DNA suite of programs to analyze, rebuild and visualize three-dimensional nucleic-acid structures. The software determines a wide range of conformational parameters, including the identities and rigid-body parameters of interacting bases and base-pair steps, the nucleotides comprising helical fragments, the area of overlap of stacked bases and so on. The reconstruction of three-dimensional structure takes advantage of rigorously defined rigid-body parameters, producing rectangular block representations of the nucleic-acid bases and base pairs and all-atom models with approximate sugar-phosphate backbones. The visualization components create vector-based drawings and scenes that can be rendered as raster-graphics images, allowing for easy generation of publication-quality figures. The utility programs use geometric variables to control the view and scale of an object, for comparison of related structures. The commands run in seconds even for large structures. The software and related information are available at http://3dna.rutgers.edu/.
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Affiliation(s)
- Xiang-Jun Lu
- Department of Chemistry and Chemical Biology and BioMaPS Institute for Quantitative Biology, Rutgers-The State University of New Jersey, Piscataway, New Jersey 08854-8087, USA.
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13
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Svintradze DV, Mrevlishvili GM, Metreveli N, Jariashvili K, Namicheishvili L, Skopinska J, Sionkowska A. Collagen-DNA complex. Biomacromolecules 2007; 9:21-8. [PMID: 18052128 DOI: 10.1021/bm7008813] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Previously presented models of collagen-DNA (7) and collagen-siRNA (8) complexes point to a general description of delivery systems and indicate to what specific topology that system should be equipped with to effectively deliver the gene into the living body via in vivo and in vitro injection. We focused our interest on the nature of collagen-DNA complex structure and the molecular and environmental determinants of the self-association processes of collagen with the presence of DNA. In this aspect, the self-association of collagen-DNA complex offers an opportunity to characterize a unique system, which may be related to the general mechanisms of self-association of fiber macromolecules by water bridges. For characterizing the collagen-DNA interaction, we used FTIR-ATR, NMR, and AFM experiments done on a separate collagen film, DNA film, and on the peptide-DNA aqueous solution. We demonstrate that collagen-DNA spontaneously forms self-assembling complex systems in aqueous solution. Such self-association of the complex could be induced by electrostatic interactions between neutral collagen cylinders, having strong dipole moment, and negatively charged DNA cylinders. A final complex could be formed by hydrogen bonds between specified donor groups of collagen and phosphate acceptor groups of DNA. According to FTIR measurements, a collagen triple helix should not change global conformation during collagen-DNA complex formation.
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Affiliation(s)
- David V Svintradze
- Faculty of Physics and Mathematics, Ilia Chavchavadze State University, Chavchavadze Av. 32,Tbilisi 0157, Georgia.
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14
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Dolenc J, Baron R, Oostenbrink C, Koller J, van Gunsteren WF. Configurational entropy change of netropsin and distamycin upon DNA minor-groove binding. Biophys J 2006; 91:1460-70. [PMID: 16731550 PMCID: PMC1518646 DOI: 10.1529/biophysj.105.074617] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2005] [Accepted: 03/31/2006] [Indexed: 11/18/2022] Open
Abstract
Binding of a small molecule to a macromolecular target reduces its conformational freedom, resulting in a negative entropy change that opposes the binding. The goal of this study is to estimate the configurational entropy change of two minor-groove-binding ligands, netropsin and distamycin, upon binding to the DNA duplex d(CGCGAAAAACGCG).d(CGCGTTTTTCGCG). Configurational entropy upper bounds based on 10-ns molecular dynamics simulations of netropsin and distamycin in solution and in complex with DNA in solution were estimated using the covariance matrix of atom-positional fluctuations. The results suggest that netropsin and distamycin lose a significant amount of configurational entropy upon binding to the DNA minor groove. The estimated changes in configurational entropy for netropsin and distamycin are -127 J K(-1) mol(-1) and -104 J K(-1) mol(-1), respectively. Estimates of the configurational entropy contributions of parts of the ligands are presented, showing that the loss of configurational entropy is comparatively more pronounced for the flexible tails than for the relatively rigid central body.
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Affiliation(s)
- Jozica Dolenc
- Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia
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15
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Rohs R, Bloch I, Sklenar H, Shakked Z. Molecular flexibility in ab initio drug docking to DNA: binding-site and binding-mode transitions in all-atom Monte Carlo simulations. Nucleic Acids Res 2005; 33:7048-57. [PMID: 16352865 PMCID: PMC1312361 DOI: 10.1093/nar/gki1008] [Citation(s) in RCA: 202] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The dynamics of biological processes depend on the structure and flexibility of the interacting molecules. In particular, the conformational diversity of DNA allows for large deformations upon binding. Drug–DNA interactions are of high pharmaceutical interest since the mode of action of anticancer, antiviral, antibacterial and other drugs is directly associated with their binding to DNA. A reliable prediction of drug–DNA binding at the atomic level by molecular docking methods provides the basis for the design of new drug compounds. Here, we propose a novel Monte Carlo (MC) algorithm for drug–DNA docking that accounts for the molecular flexibility of both constituents and samples the docking geometry without any prior binding-site selection. The binding of the antimalarial drug methylene blue at the DNA minor groove with a preference of binding to AT-rich over GC-rich base sequences is obtained in MC simulations in accordance with experimental data. In addition, the transition between two drug–DNA-binding modes, intercalation and minor-groove binding, has been achieved in dependence on the DNA base sequence. The reliable ab initio prediction of drug–DNA binding achieved by our new MC docking algorithm is an important step towards a realistic description of the structure and dynamics of molecular recognition in biological systems.
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Affiliation(s)
- Remo Rohs
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
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16
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Campbell NH, Evans DA, Lee MPH, Parkinson GN, Neidle S. Targeting the DNA minor groove with fused ring dicationic compounds: comparison of in silico screening and a high-resolution crystal structure. Bioorg Med Chem Lett 2005; 16:15-9. [PMID: 16263285 DOI: 10.1016/j.bmcl.2005.10.036] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2005] [Accepted: 10/12/2005] [Indexed: 01/27/2023]
Abstract
The crystal structure of the DNA minor groove biphenyl benzimidazole diamidine ligand DB819 has been determined, bound to the DNA sequence d(CGCGAATTCGCG)(2), at a resolution of 1.36 Angstrom. Conditions for reliable in silico docking that reproduce the observed position of the ligand in the minor groove have been determined.
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Affiliation(s)
- Nancy H Campbell
- Cancer Research UK Biomolecular Structure Group, The School of Pharmacy, University of London, London WC1N 1AX, UK
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