Duplication-divergence model of protein interaction network.
Phys Rev E Stat Nonlin Soft Matter Phys
; 71(6 Pt 1): 061911, 2005 Jun.
Article
em En
| MEDLINE
| ID: mdl-16089769
ABSTRACT
We investigate a very simple model describing the evolution of protein-protein interaction networks via duplication and divergence. The model exhibits a remarkably rich behavior depending on a single parameter, the probability to retain a duplicated link during divergence. When this parameter is large, the network growth is not self-averaging and an average node degree increases algebraically. The lack of self-averaging results in a great diversity of networks grown out of the same initial condition. When less than a half of links are (on average) preserved after divergence, the growth is self-averaging, the average degree increases very slowly or tends to a constant, and a degree distribution has a power-law tail. The predicted degree distributions are in a very good agreement with the distributions observed in real protein networks.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Transdução de Sinais
/
Proteínas
/
Regulação da Expressão Gênica
/
Evolução Molecular
/
Mapeamento de Interação de Proteínas
/
Modelos Biológicos
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Phys Rev E Stat Nonlin Soft Matter Phys
Assunto da revista:
BIOFISICA
/
FISIOLOGIA
Ano de publicação:
2005
Tipo de documento:
Article
País de afiliação:
Estados Unidos