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
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
Affiliation:
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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Cite this article as:
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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