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COFACTOR: improved protein function prediction by combining structure sequence and protein–protein interaction information

机译:因子:通过结合结构序列和蛋白质-蛋白质相互作用信息来改善蛋白质功能预测

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摘要

The COFACTOR web server is a unified platform for structure-based multiple-level protein function predictions. By structurally threading low-resolution structural models through the BioLiP library, the COFACTOR server infers three categories of protein functions including gene ontology, enzyme commission and ligand-binding sites from various analogous and homologous function templates. Here, we report recent improvements of the COFACTOR server in the development of new pipelines to infer functional insights from sequence profile alignments and protein–protein interaction networks. Large-scale benchmark tests show that the new hybrid COFACTOR approach significantly improves the function annotation accuracy of the former structure-based pipeline and other state-of-the-art functional annotation methods, particularly for targets that have no close homology templates. The updated COFACTOR server and the template libraries are available at .
机译:COFACTOR Web服务器是用于基于结构的多级蛋白质功能预测的统一平台。通过在BioLiP库中对低分辨率结构模型进行结构化处理,COFACTOR服务器可以从各种类似和同源功能模板中推断出三类蛋白质功能,包括基因本体,酶促反应和配体结合位点。在这里,我们报告了COFACTOR服务器在新管道开发中的最新改进,这些新管道可从序列图谱比对和蛋白质-蛋白质相互作用网络推断功能见解。大规模基准测试表明,新的混合COFACTOR方法大大提高了以前基于结构的管道和其他最新功能标注方法的功能标注精度,尤其是对于没有紧密同源模板的目标。更新的COFACTOR服务器和模板库位于。

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