Unravelling the relationship between protein sequence and low-complexity regions entropies: Interactome implications

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Martins, F (Author) Other; Gonçalves, R (Author) Other; Oliveira, J (Author) Other; Cruz Monteagudo, M (Author) Other; Nieto Villar, JM (Author) Other; Paz y Miño, C (Author) Other; Rebelo, I (Author) FFUP; Tejera, E (Author) Other

Journal

Title: Journal of Theoretical Biology

Vol. 382

Pages: 320-327

ISSN: 0022-5193

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Scientific classification

CORDIS: Health sciences

FOS: Medical and Health sciences

Other information

Authenticus ID: P-00H-BSW

DOI: 10.1016/j.jtbi.2015.06.049

Abstract (EN): Low-complexity regions are sub-sequences of biased composition in a protein sequence. The influence of these regions over protein evolution, specific functions and highly interactive capacities is well known. Although protein sequence entropy has been largely studied, its relationship with low-complexity regions and the subsequent effects on protein function remains unclear. In this work we propose a theoretical and empirical model integrating the sequence entropy with local complexity parameters. Our results indicate that the protein sequence entropy is related with the protein length, the entropies inside and outside the low-complexity regions as well as their number and average size. We found a small but significant increment in the sequence entropy of hubs proteins. In agreement with our theoretical model, this increment is highly dependent of the balance between the increment of protein length and average size of the low-complexity regions. Finally, our models and proteins analysis provide evidence supporting that modifications in the average size is more relevant in hubs proteins than changes in the number of low-complexity regions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8