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首页> 外文期刊>Journal of Molecular Biology >The serine protease inhibitor canonical loop conformation: examples found in extracellular hydrolases, toxins, cytokines and viral proteins.
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The serine protease inhibitor canonical loop conformation: examples found in extracellular hydrolases, toxins, cytokines and viral proteins.

机译:丝氨酸蛋白酶抑制剂的典型环构象:在细胞外水解酶,毒素,细胞因子和病毒蛋白中发现的例子。

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摘要

Methods for the prediction of protein function from structure are of growing importance in the age of structural genomics. Here, we focus on the problem of identifying sites of potential serine protease inhibitor interactions on the surface of proteins of known structure. Given that there is no sequence conservation within canonical loops from different inhibitor families, we first compare representative loops to all fragments of equal length among proteins of known structure by calculating main-chain RMS deviation. Fragments with RMS deviation below a certain threshold (hits) are removed if residues have solvent accessibilities appreciably lower than those observed in the search structure. These remaining hits are further filtered to remove those occurring largely within secondary structure elements. Likely functional significance is restricted further by considering only extracellular protein domains. By comparing different canonical loop structures to the protein structure database, we show that the method is able to detect previously known inhibitors. In addition, we discuss potentially new canonical loop structures found in secreted hydrolases, toxins, viral proteins, cytokines and other proteins. We discuss the possible functional significance of several of the examples found, and comment on implications for the prediction of function from protein 3D structure. Copyright 2000 Academic Press.
机译:从结构预测蛋白质功能的方法在结构基因组学时代日益重要。在这里,我们着重于确定已知结构的蛋白质表面上潜在丝氨酸蛋白酶抑制剂相互作用的位点的问题。鉴于来自不同抑制剂家族的经典环内没有序列保守性,我们首先通过计算主链RMS偏差,将代表性环与已知结构蛋白中所有等长片段进行比较。如果残基的溶剂可及性明显低于在搜索结构中观察到的残基,则将RMS偏差低于某个阈值(命中)的片段除去。这些剩余的命中点将被进一步过滤,以消除那些主要出现在二级结构元素中的命中点。仅考虑细胞外蛋白结构域可能进一步限制了功能重要性。通过比较不同的规范环结构与蛋白质结构数据库,我们表明该方法能够检测以前已知的抑制剂。此外,我们讨论了在分泌的水解酶,毒素,病毒蛋白,细胞因子和其他蛋白中发现的潜在新的规范环结构。我们讨论了发现的几个示例的可能的功能意义,并评论了从蛋白质3D结构预测功能的意义。版权所有2000学术出版社。

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