FlexE: Using Elastic Network Models to Compare Models of Protein Structure

被引:17
|
作者
Perez, Alberto [1 ]
Yang, Zheng [2 ,3 ]
Bahar, Ivet [2 ,3 ]
Dill, Ken A. [1 ]
MacCallum, Justin L. [1 ]
机构
[1] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[2] Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15213 USA
[3] Univ Pittsburgh, Sch Med, Clin & Translat Sci Inst, Pittsburgh, PA 15213 USA
关键词
PARTICLE MESH EWALD; MOLECULAR-DYNAMICS; STRUCTURE REFINEMENT; INTRINSIC MOTIONS; ALIGNMENT; FLEXIBILITY; ALGORITHM; BINDING; SIMULATIONS;
D O I
10.1021/ct300148f
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
It is often valuable to compare protein structures to determine how similar they are. Structure comparison methods such as RMSD and GDT-TS are based solely on fixed geometry and do not take into account the intrinsic flexibility or energy landscape of the protein. We propose a method, which we call FlexE, that is based on a simple elastic network model and uses the deformation energy as measure of the similarity between two structures. FlexE can distinguish biologically relevant conformational changes from random changes, while existing geometry-based methods cannot. Additionally, FlexE incorporates the concept of thermal energy, which provides a rational way to determine when two models are "the same". FlexE provides a unique measure of the similarity between protein structures that is complementary to existing methods.
引用
收藏
页码:3985 / 3991
页数:7
相关论文
共 50 条
  • [1] Computing protein dynamics from protein structure with elastic network models
    Bastolla, Ugo
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2014, 4 (05) : 488 - 503
  • [2] Comparisons of Protein Dynamics from Experimental Structure Ensembles, Molecular Dynamics Ensembles, and Coarse-Grained Elastic Network Models
    Sankar, Kannan
    Mishra, Sambit K.
    Jernigan, Robert L.
    JOURNAL OF PHYSICAL CHEMISTRY B, 2018, 122 (21) : 5409 - 5417
  • [3] Coarse-Grained Protein Dynamics Studies Using Elastic Network Models
    Togashi, Yuichi
    Flechsig, Holger
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2018, 19 (12)
  • [4] Protein elastic network models and the ranges of cooperativity
    Yang, Lei
    Song, Guang
    Jernigan, Robert L.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (30) : 12347 - 12352
  • [5] Validation of protein structure models using network similarity score
    Ghosh, Sambit
    Gadiyaram, Vasundhara
    Vishveshwara, Saraswathi
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2017, 85 (09) : 1759 - 1776
  • [6] Evaluation of Protein Elastic Network Models Based on an Analysis of Collective Motions
    Fugebakk, Edvin
    Reuter, Nathalie
    Hinsen, Konrad
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (12) : 5618 - 5628
  • [7] Comparing the intrinsic dynamics of multiple protein structures using elastic network models
    Fuglebakk, Edvin
    Tiwari, Sandhya P.
    Reuter, Nathalie
    BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS, 2015, 1850 (05): : 911 - 922
  • [8] Parameterizing elastic network models to capture the dynamics of proteins
    Koehl, Patrice
    Orland, Henri
    Delarue, Marc
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2021, 42 (23) : 1643 - 1661
  • [9] Intrinsic Dynamics of the ClpXP Proteolytic Machine Using Elastic Network Models
    Gonzalez-Paz, Lenin
    Lossada, Carla
    Hurtado-Leon, Maria Laura
    Fernandez-Materan, Francelys, V
    Paz, Jose Luis
    Parvizi, Shayan
    Castillo, Rafael Eduardo Cardenas
    Romero, Freddy
    Alvarado, Ysaias J.
    ACS OMEGA, 2023, : 7302 - 7318
  • [10] Coarse-graining of proteins based on elastic network models
    Sinitskiy, Anton V.
    Voth, Gregory A.
    CHEMICAL PHYSICS, 2013, 422 : 165 - 174