METHODS AND ALGORITHMS FOR STATISTICAL-ANALYSIS OF PROTEIN SEQUENCES
METHODS AND ALGORITHMS FOR STATISTICAL-ANALYSIS OF PROTEIN SEQUENCES
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DOI：
10.1073/pnas.89.6.2002
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发表时间：
1992-03-15
影响因子：
11.1
通讯作者：
KARLIN, S
中科院分区：
文献类型：
--
作者：
BRENDEL, V;BUCHER, P;KARLIN, S
我们描述了几个蛋白质序列统计设计来评估不同的属性的残留物含量和安排在一级结构。考虑的是全局组成偏差，不同残基类型的局部聚类（例如，带电残基、疏水性残基、Ser/Thr）、带电或不带电残基的长串、周期性模式、同源寡肽的计数和分布以及特定残基类型之间的异常间隔。计算机程序SAPS（蛋白质序列统计分析）计算任何单个蛋白质序列输入的所有统计数据，并且可通过向VB请求的电子邮件在UNIX环境中使用
We describe several protein sequence statistics designed to evaluate distinctive attributes of residue content and arrangement in primary structure. Considered are global compositional biases, local clustering of different residue types (e.g., charged residues, hydrophobic residues, Ser/Thr), long runs of charged or uncharged residues, periodic patterns, counts and distribution of homooligopeptides, and unusual spacings between particular residue types. The computer program SAPS (statistical analysis of protein sequences) calculates all the statistics for any individual protein sequence input and is available for the UNIX environment through electronic mail on request to V.B.