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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

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

Revista

Título: Journal of Theoretical Biology

Vol. 382

Páginas: 320-327

ISSN: 0022-5193

Editora: Elsevier

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

CORDIS: Ciências da Saúde

FOS: Ciências médicas e da saúde

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8