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PREDICTING FUNCTION FROM STRUCTURE: EXAMPLES OF THE SERINE PROTEASE INHIBITOR CANONICAL LOOP CONFORMATION FOUND IN EXTRACELLULAR PROTEINS

机译:从结构预测功能:细胞外蛋白中发现的丝氨酸蛋白酶抑制剂抑制剂的实例

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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 was 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.
机译:在结构基因组学时,来自结构的蛋白质功能预测方法越来越重要。在这里,我们专注于识别已知结构蛋白表面上的潜在丝氨酸蛋白酶抑制剂相互作用的问题。鉴于来自不同抑制剂家族的规范环中没有序列守恒,我们首先将代表性环比比较通过计算主链偏差在已知结构的蛋白质中相等长度的所有片段。如果残留物明显低于在搜索结构中观察到的那些,则去除具有在特定阈值(命中)的偏差下方的偏差的差异。进一步过滤这些剩余的命中以除去很大程度上在二级结构元件内发生的次数。通过考虑仅考虑细胞外蛋白质结构域,可能的功能意义是进一步的限制性的。通过将不同的规范环结构与蛋白质结构数据库进行比较,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质中发现的潜在新的规范环结构。我们讨论了发现的几个例子的可能的功能意义,并评论了从蛋白质3D结构预测功能预测的影响。

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