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LARGE-SCALE STRUCTURAL MODELING OF PROTEIN COMPLEXES AT LOW RESOLUTION

机译:低分辨率下蛋白质复合物的大型结构建模

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摘要

Structural aspects of protein–protein interactions provided by large-scale, genome-wide studies are essential for the description of life processes at the molecular level. A methodology is developed that applies the protein docking approach (GRAMM), based on the knowledge of experimentally determined protein–protein structures (DOCKGROUND resource) and properties of intermolecular energy landscapes, to genome-wide systems of protein interactions. The full sequence-to-structure-of-complex modeling pipeline is implemented in the Genome Wide Docking Database (GWIDD) resource. Protein interaction data are imported to GWIDD from external datasets of experimentally determined interaction networks. Essential information is extracted and unified to form the GWIDD database. Structures of individual interacting proteins in the database are retrieved (if available) or modeled, and protein complex structures are predicted by the docking program. All protein sequence, structure, and docking information is conveniently accessible through a Web interface.
机译:大规模,全基因组研究提供的蛋白质间相互作用的结构方面对于在分子水平上描述生命过程至关重要。根据实验确定的蛋白质-蛋白质结构(DOCKGROUND资源)和分子间能量态势的特性,开发了一种将蛋白质对接方法(GRAMM)应用到全基因组蛋白质相互作用系统的方法。在基因组对接数据库(GWIDD)资源中实现了完整的从序列到结构的复杂建模管道。蛋白质相互作用数据从实验确定的相互作用网络的外部数据集导入GWIDD。基本信息被提取并统一形成GWIDD数据库。检索(如果可用)数据库中各个相互作用的蛋白质的结构或对其建模,并通过对接程序预测蛋白质复合物的结构。可通过Web界面方便地访问所有蛋白质序列,结构和对接信息。

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