Changes in flexibility upon binding: Application of the self-consistent pair contact probability method to protein-protein interactions

被引:11
|
作者
Canino, LS [1 ]
Shen, TY
McCammon, JA
机构
[1] Univ Calif San Diego, Dept Phys, La Jolla, CA 92093 USA
[2] Howard Hughes Med Inst, Dept Chem & Biochem, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
来源
JOURNAL OF CHEMICAL PHYSICS | 2002年 / 117卷 / 21期
关键词
D O I
10.1063/1.1517605
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
We extend the self-consistent pair contact probability method to the evaluation of the partition function for a protein complex at thermodynamic equilibrium. Specifically, we adapt the method for multichain models and introduce a parametrization for amino acid-specific pairwise interactions. This method is similar to the Gaussian network model but allows for the adjusting of the strengths of native state contacts. The method is first validated on a high resolution x-ray crystal structure of bovine Pancreatic Phospholipase A2 by comparing calculated B-factors with reported values. We then examine binding-induced changes in flexibility in protein-protein complexes, comparing computed results with those obtained from x-ray crystal structures and molecular dynamics simulations. In particular, we focus on the mouse acetylcholinesterase:fasciculin II and the human alpha-thrombin:thrombomodulin complexes. (C) 2002 American Institute of Physics.
引用
收藏
页码:9927 / 9933
页数:7
相关论文
共 50 条
  • [1] Intermolecular Contact Potentials for Protein-Protein Interactions Extracted from Binding Free Energy Changes upon Mutation
    Moal, Iain H.
    Fernandez-Recio, Juan
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2013, 9 (08) : 3715 - 3727
  • [2] Finding the ΔΔG spot: Are predictors of binding affinity changes upon mutations in protein-protein interactions ready for it?
    Geng, Cunliang
    Xue, Li C.
    Roel-Touris, Jorge
    Bonvin, Alexandre M. J. J.
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2019, 9 (05)
  • [3] Quantification of biases in predictions of protein-protein binding affinity changes upon mutations
    Tsishyn, Matsvei
    Pucci, Fabrizio
    Rooman, Marianne
    BRIEFINGS IN BIOINFORMATICS, 2024, 25 (01)
  • [4] SELF-CONSISTENT THEORY OF OVERLAP INTERACTIONS IN THE TIGHT-BINDING METHOD
    DORANTESDAVILA, J
    VEGA, A
    PASTOR, GM
    PHYSICAL REVIEW B, 1993, 47 (19): : 12995 - 12998
  • [5] SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation
    Samaga, Yashas B. L.
    Raghunathan, Shampa
    Priyakumar, U. Deva
    JOURNAL OF PHYSICAL CHEMISTRY B, 2021, 125 (38): : 10657 - 10671
  • [6] Computational Method To Identify Druggable Binding Sites That Target Protein-Protein Interactions
    Li, Hubert
    Kasam, Vinod
    Tautermann, Christofer S.
    Seeliger, Daniel
    Vaidehi, Nagarajan
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2014, 54 (05) : 1391 - 1400
  • [7] Unfolding proteins under external forces: A solvable model under the self-consistent pair contact probability approximation
    Shen, T
    Canino, LS
    McCammon, JA
    PHYSICAL REVIEW LETTERS, 2002, 89 (06)
  • [8] DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
    Jiang, Yelu
    Quan, Lijun
    Li, Kailong
    Li, Yan
    Zhou, Yiting
    Wu, Tingfang
    Lyu, Qiang
    IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2023, 20 (03) : 2089 - 2100
  • [9] Modulating Protein-Protein Interactions: From Structural Determinants of Binding to Druggability Prediction to Application
    Metz, Alexander
    Ciglia, Emanuele
    Gohlke, Holger
    CURRENT PHARMACEUTICAL DESIGN, 2012, 18 (30) : 4630 - 4647
  • [10] DETERMINATION OF GLOBULAR PROTEIN CHAIN FOLD BY THE METHOD OF SELF-CONSISTENT FIELD
    FINKELSTEIN, AV
    REVA, BA
    BIOFIZIKA, 1990, 35 (03): : 402 - 406