Suppr超能文献

InterEvDock3:一个基于模板和自由对接的联合服务器,通过对复杂同源物的显式建模和基于协变的接触图的整合,提高了性能。

InterEvDock3: a combined template-based and free docking server with increased performance through explicit modeling of complex homologs and integration of covariation-based contact maps.

机构信息

Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France.

Université de Paris, CNRS UMR 8251, INSERM U1133, RPBS, Paris 75205, France.

出版信息

Nucleic Acids Res. 2021 Jul 2;49(W1):W277-W284. doi: 10.1093/nar/gkab358.

Abstract

The InterEvDock3 protein docking server exploits the constraints of evolution by multiple means to generate structural models of protein assemblies. The server takes as input either several sequences or 3D structures of proteins known to interact. It returns a set of 10 consensus candidate complexes, together with interface predictions to guide further experimental validation interactively. Three key novelties were implemented in InterEvDock3 to help obtain more reliable models: users can (i) generate template-based structural models of assemblies using close and remote homologs of known 3D structure, detected through an automated search protocol, (ii) select the assembly models most consistent with contact maps from external methods that implement covariation-based contact prediction with or without deep learning and (iii) exploit a novel coevolution-based scoring scheme at atomic level, which leads to significantly higher free docking success rates. The performance of the server was validated on two large free docking benchmark databases, containing respectively 230 unbound targets (Weng dataset) and 812 models of unbound targets (PPI4DOCK dataset). Its effectiveness has also been proven on a number of challenging examples. The InterEvDock3 web interface is available at http://bioserv.rpbs.univ-paris-diderot.fr/services/InterEvDock3/.

摘要

InterEvDock3 蛋白对接服务器通过多种方式利用进化的约束条件来生成蛋白复合物的结构模型。该服务器的输入可以是几个相互作用的已知蛋白序列或 3D 结构。它会返回一组 10 个共识候选复合物,并提供接口预测,以指导进一步的实验验证。在 InterEvDock3 中实现了三个关键的创新,以帮助获得更可靠的模型:用户可以 (i) 使用通过自动搜索协议检测到的已知 3D 结构的近同源和远同源蛋白,生成基于模板的组装结构模型,(ii) 选择与外部方法生成的接触图最一致的组装模型,这些外部方法使用基于共变的接触预测,包括或不包括深度学习,以及 (iii) 利用基于新共进化的原子级评分方案,这可显著提高自由对接的成功率。该服务器的性能已在两个大型自由对接基准数据库上进行了验证,分别包含 230 个未结合的靶标(Weng 数据集)和 812 个未结合的靶标模型(PPI4DOCK 数据集)。它在一些具有挑战性的例子上也得到了验证。InterEvDock3 的网页界面可在 http://bioserv.rpbs.univ-paris-diderot.fr/services/InterEvDock3/ 上访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c3c/8265070/eb6434c97af6/gkab358gra1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验