A Retrospective on the Development of Methods for the Analysis of Protein Conformational Ensembles

被引:8
|
作者
Hayward, Steven [1 ]
机构
[1] Univ East Anglia, Sch Comp Sci, Lab Computat Biol, Norwich, England
来源
PROTEIN JOURNAL | 2023年 / 42卷 / 03期
关键词
Principal Component Analysis; Essential Dynamics; Quasi-Harmonic Analysis; Collective motions; Domain motions; NORMAL-MODE ANALYSIS; MOLECULAR-DYNAMICS SIMULATIONS; PRINCIPAL COMPONENT ANALYSIS; QUASI-HARMONIC METHOD; MONTE-CARLO; COLLECTIVE MOTIONS; DOMAIN MOTIONS; ENERGY LANDSCAPE; NATIVE PROTEIN; SOLVENT;
D O I
10.1007/s10930-023-10113-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Analysing protein conformational ensembles whether from molecular dynamics (MD) simulation or other sources for functionally relevant conformational changes can be very challenging. In the nineteen nineties dimensional reduction methods were developed primarily for analysing MD trajectories to determine dominant motions with the aim of understanding their relationship to function. Coarse-graining methods were also developed so the conformational change between two structures could be described in terms of the relative motion of a small number of quasi-rigid regions rather than in terms of a large number of atoms. When these methods are combined, they can characterize the large-scale motions inherent in a conformational ensemble providing insight into possible functional mechanism. The dimensional reduction methods first applied to protein conformational ensembles were referred to as Quasi-Harmonic Analysis, Principal Component Analysis and Essential Dynamics Analysis. A retrospective on the origin of these methods is presented, the relationships between them explained, and more recent developments reviewed.
引用
收藏
页码:181 / 191
页数:11
相关论文
共 50 条
  • [21] Direct generation of protein conformational ensembles via machine learning
    Giacomo Janson
    Gilberto Valdes-Garcia
    Lim Heo
    Michael Feig
    Nature Communications, 14
  • [22] Refining Protein Conformational Ensembles from Separate Experimental Measurements
    Boland, Emily
    Hays, Jennifer M.
    Kasson, Peter
    BIOPHYSICAL JOURNAL, 2021, 120 (03) : 189A - 189A
  • [23] From residue coevolution to protein conformational ensembles and functional dynamics
    Sutto, Ludovico
    Marsili, Simone
    Valencia, Alfonso
    Gervasio, Francesco Luigi
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (44) : 13567 - 13572
  • [24] Design of protein-ligand interactions using free energy analysis of conformational ensembles.
    Bryce, RA
    Bonnet, P
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2003, 226 : U301 - U301
  • [25] Direct generation of protein conformational ensembles via machine learning
    Janson, Giacomo
    Valdes-Garcia, Gilberto
    Heo, Lim
    Feig, Michael
    NATURE COMMUNICATIONS, 2023, 14 (01)
  • [26] SAXS Signatures of Conformational Heterogeneity and Homogeneity of Disordered Protein Ensembles
    Song, Jianhui
    Li, Jichen
    Chan, Hue Sun
    BIOPHYSICAL JOURNAL, 2020, 118 (03) : 503A - 503A
  • [27] Evaluating DEER Distance Profiles in Terms of Protein Conformational Ensembles
    Huang, Xi
    de Vera, Ian S. Mitchell
    Blackburn, Mandy E.
    Galiano, Luis
    Fanucci, Gail E.
    BIOPHYSICAL JOURNAL, 2014, 106 (02) : 456A - 456A
  • [28] Predicting protein conformational ensembles using deep generative models
    Barethiya, Shrishti
    Huang, Jian
    Chen, Jianhan
    BIOPHYSICAL JOURNAL, 2024, 123 (03) : 549A - 549A
  • [29] Validated Conformational Ensembles Are Key for the Successful Prediction of Protein Complexes
    Pons, Carles
    Bryn Fenwick, R.
    Esteban-Martin, Santiago
    Salvatella, Xavier
    Fernandez-Recio, Juan
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (03) : 1830 - 1837
  • [30] Exploiting Conformational Ensembles in Modeling Protein-Protein Interactions on the Proteome Scale
    Kuzu, Guray
    Gursoy, Attila
    Nussinov, Ruth
    Keskin, Ozlem
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (06) : 2641 - 2653