Identification of Protein Family Representatives

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)


Volume 9, 5 Issues, 2014


Download PDF Flyer




Current Bioinformatics

Aims & ScopeAbstracted/Indexed in

Ranking and Category:
  • 20th of 52 in Mathematical & Computational Biology

Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Alessandro Giuliani
Istituto Superiore di Sanitá (Italian NIH) Environment and Health Dept
Roma
Italy


View Full Editorial Board

Subscribe Purchase Articles Order Reprints

Current: 1.726
5 - Year: 1.577

Identification of Protein Family Representatives

Author(s): Andrzej Kasperski and Renata Kasperska

Affiliation: Faculty of Biological Sciences, Department of Biotechnology, University of Zielona Gora, ul. Szafrana 1, 65-516 Zielona Gora, Poland.

Abstract

Similarity analysis of sequences belonging to some protein families indicates the existence of highly variable positions. In this work, a method of interpretation of variability at these positions is presented. The proposed method extends out of the Dot-Matrix method with the possibility of making new analysis of similarity and consideration of physicochemical aspects of variability. These analyses have been made at two consideration levels, i.e. the amino-acid level and codon level. To make this possible, semihomologization and desemihomologization mechanisms have been introduced. As a result, the method of selection of sequences, which best represents the given protein family, has been proposed. A higher frequency of six-codon amino-acids at the highly variable positions has been identified, which can indicate that one-point mutation is the main mechanism of amino-acid codon evolution.

Keywords: Amino-acid level, codon level, cryptic mutations, multiple alignment, one-point mutation, protein similarity.

Purchase Online Rights and Permissions

  
  



Article Details

Volume: 9
Issue Number: 4
First Page: 414
Last Page: 425
Page Count: 12
DOI: 10.2174/1574893609666140516010304
Advertisement

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2014 Bentham Science