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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >Family fingerprints: A global approach to structural classification
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Family fingerprints: A global approach to structural classification

机译:家庭指纹:结构分类的全球方法

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摘要

Protein domain classification is a useful tool to deduce functional properties of proteins. Many software to classify domains according to available databases have been proposed so far. This paper introduces the notion of "fingerprint" as an easy and readable digest of the similarities between a protein fragment and an entire set of sequences. This concept offers us a rationale for building an automatic SCOP classifier which assigns a query sequence to the most likely family. Fingerprint-based analysis has been implemented in a software tool and we report some experimental validations for it.
机译:蛋白质结构域分类是推断蛋白质功能特性的有用工具。到目前为止,已经提出了许多根据可用数据库对域进行分类的软件。本文介绍“指纹”的概念,将其作为蛋白质片段和整个序列之间相似性的简单易读摘要。该概念为我们提供了构建自动SCOP分类器的原理,该分类器将查询序列分配给最可能的族。基于指纹的分析已在软件工具中实现,我们对此进行了一些实验验证。

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