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Data mining of protein families using common peptides

Assaf Gottlieb¹, Uri Weingart¹ & David Horn¹

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1. School of Physics and Astronomy, Tel Aviv University

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Document Type:

Manuscript

Date:

Received 14 August 2008 08:55 UTC; Posted 14 August 2008

Subjects:

Bioinformatics

Tags:

• Data Mining
• protein family
• common peptides
• motifs

Abstract:

Predicting the function of a protein from its sequence is typically addressed using sequence-similarity. Here we propose a motif-based approach, using supervised motif extraction from protein sequences belonging to one functional family. The resulting deterministic motifs form Common Peptides (CPs) that characterize this family, allow for data mining of its proteins and facilitate further partition of the family into clusters

Collection:

AFP-Biosapiens 2008

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License:

This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Gottlieb, Assaf, Weingart, Uri, and Horn, David. Data mining of protein families using common peptides. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2008.2189.1> (2008)

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