PREDICTION OF PROTEIN-PROTEIN COMPLEX STRUCTURES

被引:0
|
作者
Kanamori, Eiji [1 ]
Murakami, Yoichi [2 ]
Sarmiento, Joy [3 ]
Liang, Shide [3 ]
Standley, Daron M. [3 ]
Shirota, Matsuyuki [4 ]
Kinoshita, Kengo [4 ]
Tsuchiya, Yuko [5 ]
Higo, Junichi [5 ]
Nakamura, Haruki [5 ]
机构
[1] Hitachi Solut Ltd, 1-1-43 Suehiro Cho, Yokohama, Kanagawa 2300045, Japan
[2] Natl Inst Biomed Innovat, Osaka 5670085, Japan
[3] Osaka Univ, Immunol Frontier Res Ctr, Suita, Osaka 5650871, Japan
[4] Tohoku Univ, Grad Sch Informat Sci, Sendai, Miyagi 9808579, Japan
[5] Osaka Univ, Inst Prot Res, Suita, Osaka 5650871, Japan
基金
日本学术振兴会;
关键词
MULTICANONICAL ENSEMBLE; MOLECULAR-SURFACES; DOCKING; EVOLUTION; PEPTIDES; DYNAMICS; LESSONS; SITES; CAPRI;
D O I
暂无
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
A docking method, surFit, was developed that automatically and semi-automatically docks a pair of protein molecular surfaces. It performs the following six procedures: Binding site prediction, Rigid surface docking, Coarse scoring, Refinement, Precise scoring, and Re-refinement by molecular dynamics. simulation. The first four procedures have been automated and implemented in the webserver surFit. The current protocol successfully built many acceptable predicted complex structures with high qualities for the recent CAPRI targets, and accurately estimated the solvent water positions at the interface for CAPRI Target 47. To reveal the complex structure of an intrinsically disordered protein (IDP) with its partner receptor protein, enhanced sampling computations were performed to simulate the free energy landscapes of the IDP with and without the receptor. Consequently, both induced fitting and population shift mechanisms were observed for the NRSF-Sin3 system.
引用
收藏
页码:160 / 172
页数:13
相关论文
共 50 条
  • [41] NOXclass: prediction of protein-protein interaction types
    Zhu, HB
    Domingues, FS
    Sommer, I
    Lengauer, T
    BMC BIOINFORMATICS, 2006, 7
  • [42] Prediction of Protein-Protein Interactions Based on Domain
    Li, Xue
    Yang, Lifeng
    Zhang, Xiaopan
    Jiao, Xiong
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2019, 2019
  • [43] Prediction of Protein-Protein Interactions at Genome Scale
    Tuncbag, Nurcan
    Gursoy, Attila
    Nussinov, Ruth
    Keskin, Ozlem
    BIOPHYSICAL JOURNAL, 2011, 100 (03) : 386 - 386
  • [44] Combining Protein-protein Interaction Networks with Structures
    Kar, Gozde
    Gursoy, Attila
    Nussinov, Ruth
    Keskin, Ozlem
    BIOPHYSICAL JOURNAL, 2009, 96 (03) : 649A - 649A
  • [45] Prediction of protein-protein binding free energies
    Vreven, Thom
    Hwang, Howook
    Pierce, Brian G.
    Weng, Zhiping
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2012, 244
  • [46] NOXclass: Prediction of protein-protein interaction types
    Max-Planck-Institut für Informatik, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany
    BMC Bioinform., 2006,
  • [47] Computational prediction of protein-protein binding affinities
    Siebenmorgen, Till
    Zacharias, Martin
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2020, 10 (03)
  • [48] NOXclass: prediction of protein-protein interaction types
    Hongbo Zhu
    Francisco S Domingues
    Ingolf Sommer
    Thomas Lengauer
    BMC Bioinformatics, 7 (1)
  • [49] Computational Methods for the Prediction of Protein-Protein Interactions
    Xia, Jun-Feng
    Wang, Shu-Lin
    Lei, Ying-Ke
    PROTEIN AND PEPTIDE LETTERS, 2010, 17 (09): : 1069 - 1078
  • [50] Protein-Protein Interactions and Prediction: A Comprehensive Overview
    Sowmya, Gopichandran
    Ranganathan, Shoba
    PROTEIN AND PEPTIDE LETTERS, 2014, 21 (08): : 779 - 789