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保护和变异分数的比较研究。

A comparative study of conservation and variation scores.

机构信息

Division of Bioinformatics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

出版信息

BMC Bioinformatics. 2010 Jul 21;11:388. doi: 10.1186/1471-2105-11-388.

Abstract

BACKGROUND

Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A variety of scores are available today but it is not clear how different scores relate to each other.

RESULTS

We applied 25 conservation and variation scores to alignments from the Catalytic Site Atlas (CSA). We calculated distances among scores based on correlation coefficients, and constructed a dendrogram of the scores by average linking cluster analysis. The cluster analysis showed that most scores fall into one of two groups--substitution matrix based group and frequency based group respectively. We also evaluated the scores' performance in predicting catalytic sites and found that frequency based scores generally perform best.

CONCLUSIONS

Conservation and variation scores can be classified into mainly two large groups. When using a score to predict catalytic sites, frequency based scores that also consider a background distribution are most successful.

摘要

背景

在多序列比对中,为了识别对结构或功能至关重要的残基,会使用保守性和变异性评分。目前有多种评分可用,但不清楚不同评分之间的关系如何。

结果

我们将 25 种保守性和变异性评分应用于 Catalytic Site Atlas(CSA)中的比对。我们根据相关系数计算了评分之间的距离,并通过平均链接聚类分析构建了评分的树状图。聚类分析表明,大多数评分可分为两类——基于替换矩阵的组和基于频率的组。我们还评估了评分在预测催化位点方面的性能,发现基于频率的评分通常表现最好。

结论

保守性和变异性评分可主要分为两类。在使用评分预测催化位点时,基于频率的评分考虑背景分布的效果最佳。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3de0/2920274/cf0c7f37b8b4/1471-2105-11-388-1.jpg

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