Integrating atom-based and residue-based scoring functions for protein–protein docking

✍ Scribed by Thom Vreven; Howook Hwang; Zhiping Weng

• Book ID: 105356693
• Publisher: Cold Spring Harbor Laboratory Press
• Year: 2011
• Tongue: English
• Weight: 460 KB
• Volume: 20
• Category: Article
• ISSN: 0961-8368
• DOI: 10.1002/pro.687

✦ Synopsis

Abstract

Most scoring functions for protein–protein docking algorithms are either atom‐based or residue‐based, with the former being able to produce higher quality structures and latter more tolerant to conformational changes upon binding. Earlier, we developed the ZRANK algorithm for reranking docking predictions, with a scoring function that contained only atom‐based terms. Here we combine ZRANK's atom‐based potentials with five residue‐based potentials published by other labs, as well as an atom‐based potential IFACE that we published after ZRANK. We simultaneously optimized the weights for selected combinations of terms in the scoring function, using decoys generated with the protein–protein docking algorithm ZDOCK. We performed rigorous cross validation of the combinations using 96 test cases from a docking benchmark. Judged by the integrative success rate of making 1000 predictions per complex, addition of IFACE and the best residue‐based pair potential reduced the number of cases without a correct prediction by 38 and 27% relative to ZDOCK and ZRANK, respectively. Thus combination of residue‐based and atom‐based potentials into a scoring function can improve performance for protein–protein docking. The resulting scoring function is called IRAD (integration of residue‐ and atom‐based potentials for docking) and is available at http://zlab.umassmed.edu.