Consensus scoring for enriching near-native structures from protein-protein docking decoys
Liang, Shide1,2,3,4; Meroueh, Samy O.2,3; Wang, Guangce4; Qiu, Chao4; Zhou, Yaoqi1,2,3
刊名PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
2009-05-01
卷号75期号:2页码:397-403
关键词Protein Docking Near Native Decoy Selection Energy Score Interface Propensity Conservation Score
ISSN号0887-3585
DOI10.1002/prot.22252
文献子类Article
英文摘要The identification of near native protein-protein complexes among a set of decoys remains highly challenging. A stategy for improving the success rate of near native detection is to enrich near native docking decoys in a small number of top ranked decoys. Recently, we found that a combination of three scoring functions (energy, conservation, and interface propensity) can predict the location of binding interface regions with reasonable accuracy. Here, these three scoring functions are modified and combined into a consensus scoring function called ENDES for enriching near native docking decoys. We found that all individual scores result in enrichment for the majority of 28 targets in ZDOCK2.3 decoy set and the 22 targets in Benchmark 2.0. Among the three scores, the interface propensity score yields the highest enrichment in both sets of protein complexes. When these scores are combined into the ENDES consensus score, a significant increase in enrichment of near-native structures is found. For example, when 2000 dock decoys are reduced to 200 decoys by ENDES, the fraction of near-native structures in docking decoys increases by a factor of about six in average. ENDES was implemented into a computer program that is available for download at http://sparks.informatics.iupui.edu.; The identification of near native protein-protein complexes among a set of decoys remains highly challenging. A stategy for improving the success rate of near native detection is to enrich near native docking decoys in a small number of top ranked decoys. Recently, we found that a combination of three scoring functions (energy, conservation, and interface propensity) can predict the location of binding interface regions with reasonable accuracy. Here, these three scoring functions are modified and combined into a consensus scoring function called ENDES for enriching near native docking decoys. We found that all individual scores result in enrichment for the majority of 28 targets in ZDOCK2.3 decoy set and the 22 targets in Benchmark 2.0. Among the three scores, the interface propensity score yields the highest enrichment in both sets of protein complexes. When these scores are combined into the ENDES consensus score, a significant increase in enrichment of near-native structures is found. For example, when 2000 dock decoys are reduced to 200 decoys by ENDES, the fraction of near-native structures in docking decoys increases by a factor of about six in average. ENDES was implemented into a computer program that is available for download at http://sparks.informatics.iupui.edu.
学科主题Biochemistry & Molecular Biology ; Biophysics
URL标识查看原文
语种英语
WOS记录号WOS:000264169400012
公开日期2010-12-22
内容类型期刊论文
源URL[http://ir.qdio.ac.cn/handle/337002/2941]  
专题海洋研究所_实验海洋生物学重点实验室
作者单位1.Indiana Univ Purdue Univ, Sch Informat, Indianapolis, IN 46202 USA
2.Indiana Univ Sch Med, Dept Biochem & Mol Biol, Indianapolis, IN 46202 USA
3.Indiana Univ Sch Med, Ctr Computat Biol & Bioinformat, Indianapolis, IN 46202 USA
4.Chinese Acad Sci, Key Lab Expt Marine Biol, Inst Oceanol, Qingdao 266071, Peoples R China
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GB/T 7714
Liang, Shide,Meroueh, Samy O.,Wang, Guangce,et al. Consensus scoring for enriching near-native structures from protein-protein docking decoys[J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,2009,75(2):397-403.
APA Liang, Shide,Meroueh, Samy O.,Wang, Guangce,Qiu, Chao,&Zhou, Yaoqi.(2009).Consensus scoring for enriching near-native structures from protein-protein docking decoys.PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS,75(2),397-403.
MLA Liang, Shide,et al."Consensus scoring for enriching near-native structures from protein-protein docking decoys".PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS 75.2(2009):397-403.
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