A novel method for similarity/dissimilarity analysis of protein sequences

Zengchao Mu, Jing Wu and Yusen Zhang

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 24, 6361-6366

Abstract: Sequence comparison is one of the major tasks in bioinformatics, which can be used to study structural and functional conservation, as well as evolutionary relations among the sequences. In this paper, we introduce the concept of distance frequency of amino acid pairs and propose a new numerical characterization of protein sequences, which converts any protein sequence into a distance frequency matrix. Using this distance frequency matrix, we can compare the similarity of protein sequences. In order to confirm the validity of our method, we test it with two experiments. The results show that our method is effective.

Keywords: Protein sequence; Similarity; Distance frequency matrix; Phylogenetic tree (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711300719X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:24:p:6361-6366

DOI: 10.1016/j.physa.2013.08.008

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().