Compressing Proteomes: The Relevance of Medium Range Correlations. (30th October 2007)

• Record Type: Journal Article
• Authors: Benedetto, Dario; Caglioti, Emanuele; Chica, Claudia
• Other Names: Roos Teemu Academic Editor.
• Is Part Of: EURASIP journal on bioinformatics and systems biology. Volume 2007(2007)
• Publication Date: 2007-10-30
• Subjects: Bioinformatics -- Periodicals; Systems biology -- Periodicals; Systems Biology; Signal Processing, Computer-Assisted; Bio-informatique; Biologie systémique; Bioinformatics; Systems biology; Systems Biology; Bioinformatics; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 570.285
• DOI: 10.1155/2007/60723
• Languages: English
• ISSNs: 1687-4145

Abstract

Abstract : We study the nonrandomness of proteome sequences by analysing the correlations that arise between amino acids at a short and medium range, more specifically, between amino acids located 10 or 100 residues apart; respectively. We show that statistical models that consider these two types of correlation are more likely to seize the information contained in protein sequences and thus achieve good compression rates. Finally, we propose that the cause for this redundancy is related to the evolutionary origin of proteomes and protein sequences.