Integrative modeling of protein‐protein interactions with pyDock for the new docking challenges

Mireia Rosell, Luis A Rodríguez-Lumbreras, Miguel Romero-Durana, Brian Jiménez‐García, Lucía Díaz, J. Fernández-Recio
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引用次数: 7

Abstract

The seventh CAPRI edition imposed new challenges to the modeling of protein‐protein complexes, such as multimeric oligomerization, protein‐peptide, and protein‐oligosaccharide interactions. Many of the proposed targets needed the efficient integration of rigid‐body docking, template‐based modeling, flexible optimization, multiparametric scoring, and experimental restraints. This was especially relevant for the multimolecular assemblies proposed in the CASP12‐CAPRI37 and CASP13‐CAPRI46 joint rounds, which were described and evaluated elsewhere. Focusing on the purely CAPRI targets of this edition (rounds 38‐45), we have participated in all 17 assessed targets (considering heteromeric and homomeric interfaces in T125 as two separate targets) both as predictors and as scorers, by using integrative modeling based on our docking and scoring approaches: pyDock, IRaPPA, and LightDock. In the protein‐protein and protein‐peptide targets, we have also participated with our webserver (pyDockWeb). On these 17 CAPRI targets, we submitted acceptable models (or better) within our top 10 models for 10 targets as predictors, 13 targets as scorers, and 4 targets as servers. In summary, our participation in this CAPRI edition confirmed the capabilities of pyDock for the scoring of docking models, increasingly used within the context of integrative modeling of protein interactions and multimeric assemblies.
基于pyDock的蛋白质-蛋白质相互作用的综合建模,以应对新的对接挑战
第七版CAPRI对蛋白质-蛋白质复合物的建模提出了新的挑战,如多聚体寡聚化,蛋白质-肽和蛋白质-寡糖相互作用。许多提出的目标需要有效地整合刚体对接、基于模板的建模、柔性优化、多参数评分和实验约束。这与CASP12‐CAPRI37和CASP13‐CAPRI46联合轮中提出的多分子组装尤其相关,这些多分子组装在其他地方进行了描述和评估。专注于本版本的纯CAPRI靶标(第38 - 45轮),我们通过使用基于我们的对接和评分方法(pyDock, IRaPPA和LightDock)的集成建模,参与了所有17个评估靶标(将T125中的异质和同源界面视为两个独立的靶标)作为预测因子和评分因子。在蛋白-蛋白和蛋白-肽靶标中,我们也参与了我们的网络服务器(pyDockWeb)。在这17个CAPRI目标上,我们在我们的前10个模型中提交了可接受的(或更好的)模型,其中10个目标作为预测者,13个目标作为评分者,4个目标作为服务器。总之,我们对CAPRI版本的参与证实了pyDock在对接模型评分方面的能力,该模型越来越多地用于蛋白质相互作用和多聚体组装的整合建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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