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蛋白质序列中三维结构模式的轮廓扫描

Profile scanning for three-dimensional structural patterns in protein sequences.

作者信息

Gribskov M, Homyak M, Edenfield J, Eisenberg D

机构信息

Molecular Biology Institute, University of California, Los Angeles 90024-1570.

出版信息

Comput Appl Biosci. 1988 Mar;4(1):61-6. doi: 10.1093/bioinformatics/4.1.61.

Abstract

Profile analysis measures the similarity between a target sequence and a group of aligned sequences (the probe). The probe sequences are used to produce a position-specific scoring table (the profile) that can be aligned with any sequence (the target) using standard dynamic programming methods. We are developing a library of profiles, each describing a different structural motif. This allows any target sequence to be rapidly scanned for the presence of structural motifs. Levels of significance for the comparison of target sequences with the profile are determined in advance, permitting an objective decision to be made as to whether a protein is likely to possess a structural motif.

摘要

轮廓分析用于测量目标序列与一组比对序列(探针)之间的相似性。探针序列用于生成一个位置特异性评分表(轮廓),该评分表可使用标准动态规划方法与任何序列(目标序列)进行比对。我们正在开发一个轮廓库,每个轮廓描述一种不同的结构基序。这使得能够快速扫描任何目标序列以查找结构基序的存在。预先确定目标序列与轮廓进行比较的显著性水平,从而能够就是否一个蛋白质可能拥有某个结构基序做出客观的判定。

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