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蛋白质-蛋白质及蛋白质-肽复合物建模:蛋白质-蛋白质相互作用预测挑战赛第6版

Modeling protein-protein and protein-peptide complexes: CAPRI 6th edition.

作者信息

Lensink Marc F, Velankar Sameer, Wodak Shoshana J

机构信息

University of Lille, CNRS UMR8576 UGSF, Lille, 59000, France.

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom.

出版信息

Proteins. 2017 Mar;85(3):359-377. doi: 10.1002/prot.25215. Epub 2016 Dec 2.

Abstract

We present the sixth report evaluating the performance of methods for predicting the atomic resolution structures of protein complexes offered as targets to the community-wide initiative on the Critical Assessment of Predicted Interactions (CAPRI). The evaluation is based on a total of 20,670 predicted models for 8 protein-peptide complexes, a novel category of targets in CAPRI, and 12 protein-protein targets in CAPRI prediction Rounds held during the years 2013-2016. For two of the protein-protein targets, the focus was on the prediction of side-chain conformation and positions of interfacial water molecules. Seven of the protein-protein targets were particularly challenging owing to their multicomponent nature, to conformational changes at the binding site, or to a combination of both. Encouragingly, the very large multiprotein complex with the nucleosome was correctly predicted, and correct models were submitted for the protein-peptide targets, but not for some of the challenging protein-protein targets. Models of acceptable quality or better were obtained for 14 of the 20 targets, including medium quality models for 13 targets and high quality models for 8 targets, indicating tangible progress of present-day computational methods in modeling protein complexes with increased accuracy. Our evaluation suggests that the progress stems from better integration of different modeling tools with docking procedures, as well as the use of more sophisticated evolutionary information to score models. Nonetheless, adequate modeling of conformational flexibility in interacting proteins remains an important area with a crucial need for improvement. Proteins 2017; 85:359-377. © 2016 Wiley Periodicals, Inc.

摘要

我们展示了第六份报告,该报告评估了蛋白质复合物原子分辨率结构预测方法的性能,这些蛋白质复合物是作为蛋白质相互作用关键评估(CAPRI)这一全社区倡议的目标提供的。此次评估基于2013年至2016年期间CAPRI预测轮次中8种蛋白质 - 肽复合物(CAPRI中的一种新型目标类别)和12种蛋白质 - 蛋白质目标的总共20,670个预测模型。对于其中两个蛋白质 - 蛋白质目标,重点在于预测侧链构象和界面水分子的位置。由于其多组分性质、结合位点的构象变化或两者兼而有之,12个蛋白质 - 蛋白质目标中的7个极具挑战性。令人鼓舞的是,与核小体相关的非常大的多蛋白复合物被正确预测,并且针对蛋白质 - 肽目标提交了正确的模型,但对于一些具有挑战性的蛋白质 - 蛋白质目标则没有。在20个目标中的14个获得了质量可接受或更好的模型,包括13个目标的中等质量模型和8个目标的高质量模型,这表明当今计算方法在以更高的准确性对蛋白质复合物进行建模方面取得了切实进展。我们的评估表明,进展源于不同建模工具与对接程序的更好整合,以及使用更复杂的进化信息对模型进行评分。尽管如此,相互作用蛋白质中构象灵活性的充分建模仍然是一个重要领域,迫切需要改进。《蛋白质》2017年;85:359 - 377。© 2016威利期刊公司。

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