AUTO-MUTE 2.0:一个便携式框架,增强了预测突变后蛋白质功能后果的能力。

Q1 Biochemistry, Genetics and Molecular Biology Advances in Bioinformatics Pub Date : 2014-01-01 Epub Date: 2014-08-17 DOI:10.1155/2014/278385
Majid Masso, Iosif I Vaisman
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引用次数: 52

摘要

AUTO-MUTE 2.0独立软件包包括一系列程序,用于预测单个残基替换时蛋白质的功能变化,这些程序是通过结合基于结构的特征和训练过的统计学习模型开发的。其中三种预测因子评估突变后蛋白质稳定性的变化,每种预测因子都补充了一种不同的实验方法。另外两种分类器可用,一种用于预测残基替换引起的活性变化,另一种用于确定与人类蛋白质中非同义单核苷酸多态性(nssnp)相关的突变的疾病潜力。这五个命令行驱动的工具,以及所有的支持程序,补充了那些运行AUTO-MUTE基于web的服务器的工具。然而,所有的代码都被重写了,并为新的可移植软件进行了实质性的修改,并且根据用户的反馈,它们包含了一些新的特性。这些升级包括执行三个高要求任务的能力:运行“大数据”批处理作业;使用修改后的蛋白质数据库(PDB)结构和使用标准PDB文件格式准备的未发表的个人模型生成预测;并利用包含多个模型的NMR结构文件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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AUTO-MUTE 2.0: A Portable Framework with Enhanced Capabilities for Predicting Protein Functional Consequences upon Mutation.

The AUTO-MUTE 2.0 stand-alone software package includes a collection of programs for predicting functional changes to proteins upon single residue substitutions, developed by combining structure-based features with trained statistical learning models. Three of the predictors evaluate changes to protein stability upon mutation, each complementing a distinct experimental approach. Two additional classifiers are available, one for predicting activity changes due to residue replacements and the other for determining the disease potential of mutations associated with nonsynonymous single nucleotide polymorphisms (nsSNPs) in human proteins. These five command-line driven tools, as well as all the supporting programs, complement those that run our AUTO-MUTE web-based server. Nevertheless, all the codes have been rewritten and substantially altered for the new portable software, and they incorporate several new features based on user feedback. Included among these upgrades is the ability to perform three highly requested tasks: to run "big data" batch jobs; to generate predictions using modified protein data bank (PDB) structures, and unpublished personal models prepared using standard PDB file formatting; and to utilize NMR structure files that contain multiple models.

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来源期刊
Advances in Bioinformatics
Advances in Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
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