BIP! Finder - Disentangling the complexity of low complexity proteins

2019 • Disentangling the complexity of low complexity proteins

Authors: Mier, Pablo; Paladin, Lisanna; Tamana, Stella; Petrosian, Sophia; Hajdu-Soltész, Borbála; Urbanek, Annika; Gruca, Aleksandra; Plewczynski, Dariusz; Grynberg, Marcin; Bernadó, Pau; Gáspári, Zoltán; Ouzounis, Christos A.; Promponas, Vasilis J.; Kajava, Andrey V.; Hancock, John M.; Tosatto, Silvio C. E.; Dosztanyi, Zsuzsanna; Andrade-Navarro, Miguel A.

Venue: Briefings in Bioinformatics

Type: Publication

Abstract: AbstractThere are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias ... (read more)

Topics: Artificial intelligence Data mining

DOI: 10.1093/bib/bbz007

BIP! social metrics: 0 25
External links: Crossref OpenAIRE

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