BIP! Finder - Disentangling the complexity of low complexity proteins

2019 • Disentangling the complexity of low complexity proteins

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

Venue: Briefings in Bioinformatics

Type: Article

Abstract: There 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 is often... (read more)

Topics: Artificial intelligence

DOI: 10.1093/bib/bbz007

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External links: Crossref , OpenAIRE

References (95) Citations (59) BibTex PDF

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