酵母
模式生物
有机体
酿酒酵母
细胞生理学
计算生物学
计算机科学
生化工程
生物
细胞
生物化学
遗传学
基因
工程类
作者
Hongzhong Lu,Eduard J. Kerkhoven,Jens Nielsen
标识
DOI:10.1016/j.tibtech.2021.06.010
摘要
The yeast Saccharomyces cerevisiae is widely used as a cell factory and as an important eukaryal model organism for studying cellular physiology related to human health and disease. Yeast was also the first eukaryal organism for which a genome-scale metabolic model (GEM) was developed. In recent years there has been interest in expanding the modeling framework for yeast by incorporating enzymatic parameters and other heterogeneous cellular networks to obtain a more comprehensive description of cellular physiology. We review the latest developments in multiscale models of yeast, and illustrate how a new generation of multiscale models could significantly enhance the predictive performance and expand the applications of classical GEMs in cell factory design and basic studies of yeast physiology.
科研通智能强力驱动
Strongly Powered by AbleSci AI