Modeling the dynamic behavior of biochemical regulatory networks.
J Theor Biol
; 462: 514-527, 2019 02 07.
Article
en En
| MEDLINE
| ID: mdl-30502409
Strategies for modeling the complex dynamical behavior of gene/protein regulatory networks have evolved over the last 50 years as both the knowledge of these molecular control systems and the power of computing resources have increased. Here, we review a number of common modeling approaches, including Boolean (logical) models, systems of piecewise-linear or fully non-linear ordinary differential equations, and stochastic models (including hybrid deterministic/stochastic approaches). We discuss the pro's and con's of each approach, to help novice modelers choose a modeling strategy suitable to their problem, based on the type and bounty of available experimental information. We illustrate different modeling strategies in terms of some abstract network motifs, and in the specific context of cell cycle regulation.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Biológicos
Límite:
Animals
/
Humans
Idioma:
En
Revista:
J Theor Biol
Año:
2019
Tipo del documento:
Article
Pais de publicación:
Reino Unido