The mining of toxin-like polypeptides from EST database by single residue distribution analysis.

ABSTRACT:

Background

Novel high throughput sequencing technologies require permanent development of bioinformatics data processing methods. Among them, rapid and reliable identification of encoded proteins plays a pivotal role. To search for particular protein families, the amino acid sequence motifs suitable for selective screening of nucleotide sequence databases may be used. In this work, we suggest a novel method for simplified representation of protein amino acid sequences named Single Residue Distribution Analysis, which is applicable both for homology search and database screening.

Results

Using the procedure developed, a search for amino acid sequence motifs in sea anemone polypeptides was performed, and 14 different motifs with broad and low specificity were discriminated. Th

SUBMITTER: Kozlov S 

PROVIDER: S-EPMC3040730 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature