Influence of structural similarities between sequences over ontology annotation proteins using BLASTP

Author

Giraldo-Forero, A.F. ; Cuitiva-Sánchez, J.E. ; Jaramillo-Garzón, J.A. ; Castellanos-Domínguez, C.G.

Author_Institution

Signal Process. & Recognition Res. Group, Nat. Univ. of Colombia, Manizales, Colombia

fYear

2012

fDate

12-14 Sept. 2012

Firstpage

208

Lastpage

212

Abstract

The functional prediction of proteins is one of main purposes of computational biology. Many techniques have been developed to solve this problem. Methods based on alignments of sequences like BLASTP are the most commonly used. However, these techniques have been criticized due to their on failures detecting homologous sequences under some identity thresholds between sequences. Although this is an argument frequently cited, there are no plublished studies truly showing the performance variances regarding the identity percentage between sequences. This study is fundamental to support studies that look for developing alternative methods. The present work contains an analysis of the influence of identity percentage between training sequences for BLASTP in the ontology annotation of proteins belonging to Embryophyta organisms (land plants).

Keywords

bioinformatics; ontologies (artificial intelligence); proteins; proteomics; sequences; BLASTP; Embryophyta organisms; bioinformatics; computational biology; ontology annotation proteins; performance variances; proteomics; sequence alignment; structural similarities; Bioinformatics; Databases; Genomics; Ontologies; Organisms; Proteins; Sensitivity; Alignment sequences; BLASTP; bioinformatics; identity percentage; proteomics;

fLanguage

English

Publisher

ieee

Conference_Titel

Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of

Conference_Location

Antioquia

Print_ISBN

978-1-4673-2759-6

Type

conf

DOI

10.1109/STSIVA.2012.6340583

Filename

6340583