Advances in the development of constraint-based genome-scale metabolic network models / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 1526-1540, 2021.
Artigo
em Chinês
| WPRIM
| ID: wpr-878653
ABSTRACT
Genome-scale metabolic network model (GSMM) is becoming an important tool for studying cellular metabolic characteristics, and remarkable advances in relevant theories and methods have been made. Recently, various constraint-based GSMMs that integrated genomic, transcriptomic, proteomic, and thermodynamic data have been developed. These developments, together with the theoretical breakthroughs, have greatly contributed to identification of target genes, systems metabolic engineering, drug discovery, understanding disease mechanism, and many others. This review summarizes how to incorporate transcriptomic, proteomic, and thermodynamic-constraints into GSMM, and illustrates the shortcomings and challenges of applying each of these methods. Finally, we illustrate how to develop and refine a fully integrated GSMM by incorporating transcriptomic, proteomic, and thermodynamic constraints, and discuss future perspectives of constraint-based GSMM.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Genoma
/
Proteômica
/
Redes e Vias Metabólicas
/
Engenharia Metabólica
/
Modelos Biológicos
Tipo de estudo:
Estudo prognóstico
Idioma:
Chinês
Revista:
Chinese Journal of Biotechnology
Ano de publicação:
2021
Tipo de documento:
Artigo
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