A novel method for scoring of docked protein complexes using predicted binding sites protein-protein binding sites

被引:22
|
作者
Gottschalk, KE [1 ]
Neuvirth, H [1 ]
Schreiber, G [1 ]
机构
[1] Weizmann Inst Sci, Dept Biol Chem, IL-76100 Rehovot, Israel
来源
关键词
docking; interface prediction; protein-protein interaction; scoring function;
D O I
10.1093/protein/gzh021
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
Docking algorithms produce many possible structures of a protein-protein complex. In most cases some of them resemble the correct structure within an r.m.s.d. of <3 Angstrom. A major challenge in the field of docking is to extract the correct structure out of this pool, the so-called 'scoring'. Here, we introduce a new scoring function, which discriminates between the many wrong and few true conformations. The scoring function is based on measuring the tightness of fit of the two docked proteins at a predicted binding interface. The location of the binding interface is identified using the recently developed computer algorithm ProMate. The new scoring function does not rely on energy considerations. It is therefore tolerant to low-resolution descriptions of the interface. A linear relation between the score and the r.m.s.d. relative to the 'true structure' is found in most of the cases evaluated. The function was tested on the docking results of 21 complexes in their unbound form. It was found to be successful in 77% of the examined cases, defining success as scoring a 'true' result with a p value of better than 0.1.
引用
收藏
页码:183 / 189
页数:7
相关论文
共 50 条
  • [41] Computing the Protein Binding Sites
    Guo, Fei
    Wang, Lusheng
    [J]. BIOINFORMATICS RESEARCH AND APPLICATIONS, 2011, 6674 : 25 - +
  • [42] Computing the protein binding sites
    Fei Guo
    Lusheng Wang
    [J]. BMC Bioinformatics, 13
  • [43] A novel Greedy approach for Sequence based Computational prediction of Binding-Sites in Protein-Protein Interaction
    Purohit, Aishwarya
    Acharya, Shrinivas
    Green, James
    [J]. 2021 IEEE 21ST INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (IEEE BIBE 2021), 2021,
  • [44] InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
    Haidong Wang
    Eran Segal
    Asa Ben-Hur
    Qian-Ru Li
    Marc Vidal
    Daphne Koller
    [J]. Genome Biology, 8
  • [45] IRON COMPLEXES MODEL PROTEIN-BINDING SITES
    RAWLS, R
    [J]. CHEMICAL & ENGINEERING NEWS, 1984, 62 (25) : 23 - &
  • [46] InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale
    Wang, Haidong
    Segal, Eran
    Ben-Hur, Asa
    Li, Qian-Ru
    Vidal, Marc
    Koller, Daphne
    [J]. GENOME BIOLOGY, 2007, 8 (09)
  • [47] Predicting protein interaction sites: binding hot-spots in protein-protein and protein-ligand interfaces
    Burgoyne, Nicholas J.
    Jackson, Richard M.
    [J]. BIOINFORMATICS, 2006, 22 (11) : 1335 - 1342
  • [48] Calculations of the binding affinities of protein-protein complexes with the fast multipole method
    Kim, Bongkeun
    Song, Jiming
    Song, Xueyu
    [J]. JOURNAL OF CHEMICAL PHYSICS, 2010, 133 (09):
  • [49] Architecture and design of protein-protein binding sites using the ProteOn™ XPR36 protein interaction array system
    Reichmann, D.
    Cohen, M.
    Roisman, L.
    Potapov, V.
    Sobolev, V.
    Edelman, M.
    Dym, O.
    Schreiber, G.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2006, 5 (10) : S49 - S49
  • [50] Predicted protein-protein interaction sites from local sequence information
    Ofran, Y
    Rost, B
    [J]. FEBS LETTERS, 2003, 544 (1-3) : 236 - 239