Similarity Analysis of Protein Sequences Based on the Normalized Relative-Entropy

Chun      Li; Jun      Wang; Yi      Zhang

Abstract

Based on the classification of 20 amino acids, we reduce a protein primary sequence to six (0,1) sequences. For each of them, two so-called normalized relative-entropies are calculated and thus a 12-D vector is constructed to describe the protein primary sequence. The examination of similarities/dissimilarities among eight different proteins illustrates the utility of the approach.

Keywords: Protein, (0,1)-sequence, normalized relative-entropy

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Combinatorial Chemistry & High Throughput Screening

Title: Similarity Analysis of Protein Sequences Based on the Normalized Relative-Entropy

Volume: 11 Issue: 6

Author(s): Chun Li, Jun Wang and Yi Zhang

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Keywords: Protein, (0,1)-sequence, normalized relative-entropy

Abstract: Based on the classification of 20 amino acids, we reduce a protein primary sequence to six (0,1) sequences. For each of them, two so-called normalized relative-entropies are calculated and thus a 12-D vector is constructed to describe the protein primary sequence. The examination of similarities/dissimilarities among eight different proteins illustrates the utility of the approach.

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Li Chun, Wang Jun and Zhang Yi, Similarity Analysis of Protein Sequences Based on the Normalized Relative-Entropy, Combinatorial Chemistry & High Throughput Screening 2008; 11 (6) . https://dx.doi.org/10.2174/138620708784911500

DOI https://dx.doi.org/10.2174/138620708784911500	Print ISSN 1386-2073
Publisher Name Bentham Science Publisher	Online ISSN 1875-5402

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