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使用 pyDock 进行蛋白质-蛋白质相互作用的综合建模,以应对新的对接挑战。

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

机构信息

Barcelona Supercomputing Center (BSC), Barcelona, Spain.

Instituto de Ciencias de la Vid y del Vino (CSIC, Universidad de La Rioja, Gobierno de La Rioja), Logroño, Spain.

出版信息

Proteins. 2020 Aug;88(8):999-1008. doi: 10.1002/prot.25858. Epub 2019 Nov 30.

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.

摘要

第七届 CAPRI 版对蛋白质-蛋白质复合物的建模提出了新的挑战,例如多聚寡聚化、蛋白-肽和蛋白-寡糖相互作用。许多提出的靶点需要刚体对接、基于模板的建模、柔性优化、多参数评分和实验约束的有效集成。这对于在 CASP12-CAPRI37 和 CASP13-CAPRI46 联合轮次中提出的多分子组装尤其重要,这些组装在其他地方进行了描述和评估。我们专注于该版本的纯 CAPRI 靶点(第 38-45 轮),我们以预测者和评分者的身份参加了所有 17 个评估靶点(将 T125 中的异源和同源界面视为两个单独的靶点),使用基于我们的对接和评分方法的综合建模:pyDock、IRaPPA 和 LightDock。在蛋白质-蛋白质和蛋白质-肽靶点中,我们还使用我们的网络服务器(pyDockWeb)参加了这些靶点。在这 17 个 CAPRI 靶点中,我们作为预测者提交了可接受的模型(或更好),在我们的前 10 个模型中,有 10 个靶点是预测者,13 个靶点是评分者,4 个靶点是服务器。总之,我们在这一 CAPRI 版中的参与证实了 pyDock 用于对接模型评分的能力,该方法在蛋白质相互作用和多聚体组装的综合建模中越来越多地得到应用。

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