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Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contacts

机译:通过从预测残留物触点中提取折叠特征来改善蛋白质折叠识别

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摘要

Motivation: Accurate recognition of protein fold types is a key step for template-based prediction of protein structures. The existing approaches to fold recognition mainly exploit the features derived from alignments of query protein against templates. These approaches have been shown to be successful for fold recognition at family level, but usually failed at superfamily/fold levels. To overcome this limitation, one of the key points is to explore more structurally informative features of proteins. Although residue-residue contacts carry abundant structural information, how to thoroughly exploit these information for fold recognition still remains a challenge.
机译:动机:准确识别蛋白质折叠类型是基于模板的蛋白质结构预测的关键步骤。 折叠识别的现有方法主要利用Query蛋白对对阵的特征对模板。 这些方法已被证明是在家庭级别的折叠识别方面取得成功,但通常在超小家庭/折叠水平失败。 为了克服这种限制,其中一个关键点是探讨蛋白质的更加结构上的信息特征。 虽然残留物 - 残留接触携带丰富的结构信息,但如何彻底利用这些信息,以便折叠识别仍然是一个挑战。

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  • 来源
    《Bioinformatics》 |2017年第23期|共9页
  • 作者单位

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

    City Univ Hong Kong Dept Comp Sci Kowloon Hong Kong Peoples R China;

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

    Chinese Acad Sci Inst Theoret Phys Beijing 100190 Peoples R China;

    Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
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