Protein domain classification is a useful instrument to deduce functional properties of proteins. Many automatic tools 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, and 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.

Family Fingerprints: A Global Approach to Structural Classification

CASAGRANDE, ALBERTO;FABRIS, FRANCESCO
2012-01-01

Abstract

Protein domain classification is a useful instrument to deduce functional properties of proteins. Many automatic tools 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, and 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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2508145
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