Combination of scoring functions improves discrimination in protein-protein docking

被引:34
作者
Murphy, J [1 ]
Gatchell, DW [1 ]
Prasad, JC [1 ]
Vajda, S [1 ]
机构
[1] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
来源
PROTEINS-STRUCTURE FUNCTION AND GENETICS | 2003年 / 53卷 / 04期
关键词
fast Fourier transform (FFT); rigid-body docking; binding free energy; structure-based potential; ranking docked conformations;
D O I
10.1002/prot.10473
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
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. (C) 2003 Wiley-Liss, Inc.
引用
收藏
页码:840 / 854
页数:15
相关论文
共 35 条
[1]   CHARMM - A PROGRAM FOR MACROMOLECULAR ENERGY, MINIMIZATION, AND DYNAMICS CALCULATIONS [J].
BROOKS, BR ;
BRUCCOLERI, RE ;
OLAFSON, BD ;
STATES, DJ ;
SWAMINATHAN, S ;
KARPLUS, M .
JOURNAL OF COMPUTATIONAL CHEMISTRY, 1983, 4 (02) :187-217
[2]   Free energy landscapes of encounter complexes in protein-protein association [J].
Camacho, CJ ;
Weng, ZP ;
Vajda, S ;
DeLisi, C .
BIOPHYSICAL JOURNAL, 1999, 76 (03) :1166-1178
[3]   Protein-protein association kinetics and protein docking [J].
Camacho, CJ ;
Vajda, S .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 2002, 12 (01) :36-40
[4]   Protein docking along smooth association pathways [J].
Camacho, CJ ;
Vajda, S .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (19) :10636-10641
[5]  
Camacho CJ, 2000, PROTEINS, V40, P525, DOI 10.1002/1097-0134(20000815)40:3<525::AID-PROT190>3.0.CO
[6]  
2-F
[7]   Docking unbound proteins using shape complementarity, desolvation, and electrostatics [J].
Chen, R ;
Weng, ZP .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2002, 47 (03) :281-294
[8]   Modelling protein docking using shape complementarity, electrostatics and biochemical information [J].
Gabb, HA ;
Jackson, RM ;
Sternberg, MJE .
JOURNAL OF MOLECULAR BIOLOGY, 1997, 272 (01) :106-120
[9]   Protein docking using a genetic algorithm [J].
Gardiner, EJ ;
Willett, P ;
Artymiuk, PJ .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2001, 44 (01) :44-56
[10]   Protein-protein recognition [J].
Janin, J .
PROGRESS IN BIOPHYSICS & MOLECULAR BIOLOGY, 1995, 64 (2-3) :145-166