Similarity/Dissimilarity Analysis of Protein Sequences by a New Graphical Representation.

Title:Similarity/Dissimilarity Analysis of Protein Sequences by a New Graphical Representation.

Volume: 8 Issue: 5

Author(s): Guohua Huang and Jerry Hu

Affiliation:

Keywords: Graphical representation, numerical characterization, phylogenetic tree, protein sequence, similarity analysis.

Abstract: Mainly based on pK_a (NH₃⁺) values of amino acid, a novel graphical method without degeneracy for protein sequences has been proposed firstly, which assists in viewing, aligning and comparing multiple sequences visually. Then, a new algorithm to extract a 40-dimensional numerical vector from graphical curves has been presented to characterize protein sequences. The similar relationship among sequences is computed by Euclidean distance on corresponding numerical vectors. Finally, our method is applied for similarity analysis of protein sequences on two data sets. The results are in agreement with the acknowledged view proved by a great deal of evidence from anatomy and hence demonstrate the validity of this approach.

Cite this article as:

Huang Guohua and Hu Jerry, Similarity/Dissimilarity Analysis of Protein Sequences by a New Graphical Representation., Current Bioinformatics 2013; 8 (5) . https://dx.doi.org/10.2174/1574893611308050003