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.
Article
in Zh
| WPRIM
| ID: wpr-878653
Responsible library:
WPRO
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.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Genome
/
Proteomics
/
Metabolic Networks and Pathways
/
Metabolic Engineering
/
Models, Biological
Type of study:
Prognostic_studies
Language:
Zh
Journal:
Chinese Journal of Biotechnology
Year:
2021
Type:
Article