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A non-statistical approach to protein mutational variability

机译:蛋白质突变变异性的非统计方法

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摘要

The non-statistical, non-Markovian model of protein mutational variability is described. There are presented the essential features of the algorithm of genetic semihomology and some examples of its application. The results of genetic semihomology approach are compared with the results obtained by using statistical algorithms and matrices which are assumed in widely used programs such as ClustalW, FASTA, MultAlin and BLAST. The aim of the new algorithm elaboration is to improve the accuracy of the results of protein sequence comparison, avoid the wrong assumptions and misinterpretation of the results, and increase the amount of information available From such study. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved. [References: 35]
机译:描述了蛋白质突变变异性的非统计,非马尔可夫模型。提出了遗传半同源算法的基本特征及其应用实例。将遗传半同源方法的结果与使用统计算法和矩阵获得的结果进行比较,这些算法和矩阵被广泛使用的程序(例如ClustalW,FASTA,MultAlin和BLAST)假定。阐述新算法的目的是提高蛋白质序列比较结果的准确性,避免错误的假设和结果的错误解释,并增加从此类研究中可获得的信息量。 (C)2000 Elsevier Science Ireland Ltd.保留所有权利。 [参考:35]

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