MDContactCom: a tool to identify differences of protein molecular dynamics from two MD simulation trajectories in terms of interresidue contacts
Abstract Summary Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies...
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Published in | Bioinformatics Vol. 38; no. 1; pp. 273 - 274 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press (OUP)
22.12.2021
Oxford University Press |
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Abstract | Abstract
Summary
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.
Availability and implementation
MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.
Supplementary information
Supplementary data are available at Bioinformatics online. |
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AbstractList | Abstract
Summary
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.
Availability and implementation
MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.
Supplementary information
Supplementary data are available at Bioinformatics online. Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.SUMMARYComparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations.MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.AVAILABILITY AND IMPLEMENTATIONMDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom.Supplementary data are available at Bioinformatics online.SUPPLEMENTARY INFORMATIONSupplementary data are available at Bioinformatics online. Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool called MD Contact Comparison (MDContactCom) that compares residue-residue contact fluctuations of two MD trajectories, quantifies the differences, identifies sites that exhibit large differences and visualizes those sites on the protein structure. Using this method, it is possible to identify sites affected by varying simulation conditions and reveal the path of propagation of the effect even when differences between the 3D structure of the molecule and the fluctuation RMSF of each residue is unclear. MDContactCom can monitor differences in complex protein dynamics between two MD trajectories and identify candidate sites to be analyzed in more detail. As such, MDContactCom is a versatile software package for analyzing most MD simulations. MDContactCom is freely available for download on GitLab. The software is implemented in Python3. https://gitlab.com/chiemotono/mdcontactcom. Supplementary data are available at Bioinformatics online. |
Author | Takatsugu Hirokawa Miwa Sato Chie Motono Shunsuke Yanagida |
AuthorAffiliation | 2 Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), AIST, Waseda University , Tokyo 169-0072, Japan 4 Division of Biomedical Science, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan 1 Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) , Tokyo 135-0064, Japan 5 Transborder Medical Research Center, Faculty of Medicine, University of Tsukuba , Ibaraki 305-8575, Japan 3 Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan |
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Author_xml | – sequence: 1 givenname: Chie surname: Motono fullname: Motono, Chie email: c-motono@aist.go.jp organization: Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan – sequence: 2 givenname: Shunsuke surname: Yanagida fullname: Yanagida, Shunsuke organization: Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan – sequence: 3 givenname: Miwa surname: Sato fullname: Sato, Miwa organization: Bioscience & Healthcare Engineering Division, DX Infrastructure Engineering Unit 1, Mitsui Knowledge Industry Co., Ltd, Tokyo 164-0003, Japan – sequence: 4 givenname: Takatsugu surname: Hirokawa fullname: Hirokawa, Takatsugu email: t-hirokawa@md.tsukuba.ac.jp organization: Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan |
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References | Tsuchiya (2023020108394105500_btab538-B13) 2019; 59 Brooks (2023020108394105500_btab538-B2) 2009; 30 Kitao (2023020108394105500_btab538-B6) 1991; 158 Pulim (2023020108394105500_btab538-B10) 2008; 24 Peters (2023020108394105500_btab538-B8) 2012; 8 Mercadante (2023020108394105500_btab538-B7) 2018; 114 Abraham (2023020108394105500_btab538-B1) 2015; 1-2 Vassura (2023020108394105500_btab538-B14) 2008; 24 Bowers (2023020108394105500_btab538-B152) 2006 Holliday (2023020108394105500_btab538-B5) 2017; 25 Sakuraba (2023020108394105500_btab538-B11) 2016; 145 Doshi (2023020108394105500_btab538-B4) 2016; 113 Case (2023020108394105500_btab538-B3) 2021 Phillips (2023020108394105500_btab538-B9) 2020; 153 |
References_xml | – volume: 158 start-page: 447 year: 1991 ident: 2023020108394105500_btab538-B6 article-title: The effects of solvent on the conformation and the collective motions of protein: normal mode analysis and molecular dynamics simulations of melittin in water and in vacuum publication-title: Chem. Phys doi: 10.1016/0301-0104(91)87082-7 – volume: 153 start-page: 044130 year: 2020 ident: 2023020108394105500_btab538-B9 article-title: Scalable molecular dynamics on CPU and GPU architectures with NAMD publication-title: J. Chem. Phys doi: 10.1063/5.0014475 – volume: 1-2 start-page: 19 year: 2015 ident: 2023020108394105500_btab538-B1 article-title: Gromacs: high performance molecular simulations through multi-level parallelism from laptops to supercomputers publication-title: SoftwareX doi: 10.1016/j.softx.2015.06.001 – volume: 25 start-page: 276 year: 2017 ident: 2023020108394105500_btab538-B5 article-title: Networks of dynamic allostery regulate enzyme function publication-title: Structure doi: 10.1016/j.str.2016.12.003 – volume: 8 start-page: e1002704 year: 2012 ident: 2023020108394105500_btab538-B8 article-title: Ubiquitin dynamics in complexes reveal molecular recognition mechanisms beyond induced fit and conformational selection publication-title: PLoS Comput. Biol doi: 10.1371/journal.pcbi.1002704 – year: 2021 ident: 2023020108394105500_btab538-B3 – volume: 24 start-page: 2324 year: 2008 ident: 2023020108394105500_btab538-B10 article-title: Optimal contact map alignment of protein-protein interfaces publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn432 – volume: 113 start-page: 4735 year: 2016 ident: 2023020108394105500_btab538-B4 article-title: Dynamical network of residue–residue contacts reveals coupled allosteric effects in recognition, catalysis, and mutation publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1523573113 – volume: 114 start-page: 1267 year: 2018 ident: 2023020108394105500_btab538-B7 article-title: CONAN: A tool to decode dynamical information from molecular interaction maps publication-title: Biophys. J doi: 10.1016/j.bpj.2018.01.033 – volume: 59 start-page: 4043 year: 2019 ident: 2023020108394105500_btab538-B13 article-title: Autoencoder-based detection of dynamic allostery triggered by ligand binding based on molecular dynamics publication-title: J. Chem. Inf. Model doi: 10.1021/acs.jcim.9b00426 – volume: 145 start-page: 074116 year: 2016 ident: 2023020108394105500_btab538-B11 article-title: Spotting the difference in molecular dynamics simulations of biomolecules publication-title: J. Chem. Phys doi: 10.1063/1.4961227 – volume: 24 start-page: 1313 year: 2008 ident: 2023020108394105500_btab538-B14 article-title: FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn115 – volume: 30 start-page: 1545 year: 2009 ident: 2023020108394105500_btab538-B2 article-title: CHARMM: the biomolecular simulation program publication-title: J. Comput. Chem doi: 10.1002/jcc.21287 – year: 2006 ident: 2023020108394105500_btab538-B152 article-title: Scalable algorithms for molecular dynamics simulations on commodity clusters doi: 10.1109/SC.2006.54 |
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Summary
Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We... Comparing results from multiple MD simulations performed under different conditions is essential during the initial stages of analysis. We propose a tool... |
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Title | MDContactCom: a tool to identify differences of protein molecular dynamics from two MD simulation trajectories in terms of interresidue contacts |
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