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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >USING RIGIDITY ANALYSIS TO PROBE MUTATION-INDUCED STRUCTURAL CHANGES IN PROTEINS
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USING RIGIDITY ANALYSIS TO PROBE MUTATION-INDUCED STRUCTURAL CHANGES IN PROTEINS

机译:使用刚度分析来探测蛋白质中突变诱发的结构变化

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Predicting the e®ect of a single amino acid substitution on the stability of a protein structure is anfundamental task in macromolecular modeling. It has relevance to drug design and understandingnof disease-causing protein variants. We present KINARI-Mutagen, a web server fornperforming in silico mutation experiments on protein structures from the Protein Data Bank.nOur rigidity-theoretical approach permits fast evaluation of the e®ects of mutations that maynnot be easy to perform in vitro, because it is not always possible to express a protein with anspeci¯c amino acid substitution. We use KINARI-Mutagen to identify critical residues, and wenshow that our predictions correlate with destabilizing mutations to glycine. In two in-depth casenstudies we show that the mutated residues identi¯ed by KINARI-Mutagen as critical correlatenwith experimental data, and would not have been identi¯ed by other methods such as SolventnAccessible Surface Area measurements or residue ranking by contributions to stabilizingninteractions. We also generate 48 mutants for 14 proteins, and compare our rigidity-basednresults against experimental mutation stability data. KINARI-Mutagen is available atnhttp://kinari.cs.umass.edu
机译:预测单个氨基酸取代对蛋白质结构稳定性的影响是大分子建模的基本任务。它与药物设计和了解引起疾病的蛋白质变异有关。我们介绍了KINARI-Mutagen,这是一个用于从蛋白质数据库中对蛋白质结构进行计算机突变实验的网络服务器。n我们的刚性理论方法可以快速评估可能不容易在体外进行的突变效果,因为它是并非总是可能表达具有特定氨基酸取代的蛋白质。我们使用KINARI-Mutagen识别关键残基,并证明我们的预测与甘氨酸失稳突变相关。在两个深入的案例研究中,我们表明KINARI-Mutagen识别出的突变残基与实验数据具有关键相关性,其他方法(例如,溶剂可及表面积测量或通过对稳定化相互作用的贡献进行残基排序)则无法识别出这些突变残基。我们还生成了14种蛋白质的48个突变体,并将基于刚度的结果与实验突变稳定性数据进行了比较。 KINARI-Mutagen可在以下网址获得:nhttp://kinari.cs.umass.edu

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