Literature DB >> 14635126

Combination of scoring functions improves discrimination in protein-protein docking.

John Murphy1, David W Gatchell, Jahnavi C Prasad, Sandor Vajda.   

Abstract

Two structure-based potentials are used for both filtering (i.e., selecting a subset of conformations generated by rigid-body docking), and rescoring and ranking the selected conformations. ACP (atomic contact potential) is an atom-level extension of the Miyazawa-Jernigan potential parameterized on protein structures, whereas RPScore (residue pair potential score) is a residue-level potential, based on interactions in protein-protein complexes. These potentials are combined with other energy terms and applied to 13 sets of protein decoys, as well as to the results of docking 10 pairs of unbound proteins. For both potentials, the ability to discriminate between near-native and non-native docked structures is substantially improved by refining the structures and by adding a van der Waals energy term. It is observed that ACP and RPScore complement each other in a number of ways (e.g., although RPScore yields more hits than ACP, mainly as a result of its better performance for charged complexes, ACP usually ranks the near-native complexes better). As a general solution to the protein-docking problem, we have found that the best discrimination strategies combine either an RPScore filter with an ACP-based scoring function, or an ACP-based filter with an RPScore-based scoring function. Thus, ACP and RPScore capture complementary structural information, and combining them in a multistage postprocessing protocol provides substantially better discrimination than the use of the same potential for both filtering and ranking the docked conformations. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14635126     DOI: 10.1002/prot.10473

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  12 in total

1.  Decoys for docking.

Authors:  Alan P Graves; Ruth Brenk; Brian K Shoichet
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

2.  Monte Carlo refinement of rigid-body protein docking structures with backbone displacement and side-chain optimization.

Authors:  Stephan Lorenzen; Yang Zhang
Journal:  Protein Sci       Date:  2007-10-26       Impact factor: 6.725

3.  DARS (Decoys As the Reference State) potentials for protein-protein docking.

Authors:  Gwo-Yu Chuang; Dima Kozakov; Ryan Brenke; Stephen R Comeau; Sandor Vajda
Journal:  Biophys J       Date:  2008-08-01       Impact factor: 4.033

Review 4.  Sampling and scoring: a marriage made in heaven.

Authors:  Sandor Vajda; David R Hall; Dima Kozakov
Journal:  Proteins       Date:  2013-08-19

5.  Integrating atom-based and residue-based scoring functions for protein-protein docking.

Authors:  Thom Vreven; Howook Hwang; Zhiping Weng
Journal:  Protein Sci       Date:  2011-08-08       Impact factor: 6.725

6.  Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19.

Authors:  Dima Kozakov; David R Hall; Dmitri Beglov; Ryan Brenke; Stephen R Comeau; Yang Shen; Keyong Li; Jiefu Zheng; Pirooz Vakili; Ioannis Ch Paschalidis; Sandor Vajda
Journal:  Proteins       Date:  2010-11-15

7.  Structure-based design of a T-cell receptor leads to nearly 100-fold improvement in binding affinity for pepMHC.

Authors:  Jaafar N Haidar; Brian Pierce; Yong Yu; Weiwei Tong; Michael Li; Zhiping Weng
Journal:  Proteins       Date:  2009-03

8.  A simple reference state makes a significant improvement in near-native selections from structurally refined docking decoys.

Authors:  Shide Liang; Song Liu; Chi Zhang; Yaoqi Zhou
Journal:  Proteins       Date:  2007-11-01

9.  NPPD: A Protein-Protein Docking Scoring Function Based on Dyadic Differences in Networks of Hydrophobic and Hydrophilic Amino Acid Residues.

Authors:  Edward S C Shih; Ming-Jing Hwang
Journal:  Biology (Basel)       Date:  2015-03-24

10.  HopDock: a probabilistic search algorithm for decoy sampling in protein-protein docking.

Authors:  Irina Hashmi; Amarda Shehu
Journal:  Proteome Sci       Date:  2013-11-07       Impact factor: 2.480

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