Modeling Cell-Free Protein Synthesis Systems-Approaches and Applications

被引:10
|
作者
Mueller, Jan [1 ]
Siemann-Herzberg, Martin [1 ]
Takors, Ralf [1 ]
机构
[1] Univ Stuttgart, Inst Biochem Engn, Stuttgart, Germany
关键词
in vitro protein synthesis; cell-free synthetic biology; mathematical model; in silico; ribosomes; transcription and translation; modeling; GENE-EXPRESSION DYNAMICS; STOCHASTIC SIMULATION; FREE TRANSLATION; COLI; RNA;
D O I
10.3389/fbioe.2020.584178
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
In vitro systems are ideal setups to investigate the basic principles of biochemical reactions and subsequently the bricks of life. Cell-free protein synthesis (CFPS) systems mimic the transcription and translation processes of whole cells in a controlled environment and allow the detailed study of single components and reaction networks. In silico studies of CFPS systems help us to understand interactions and to identify limitations and bottlenecks in those systems. Black-box models laid the foundation for understanding the production and degradation dynamics of macromolecule components such as mRNA, ribosomes, and proteins. Subsequently, more sophisticated models revealed shortages in steps such as translation initiation and tRNA supply and helped to partially overcome these limitations. Currently, the scope of CFPS modeling has broadened to various applications, ranging from the screening of kinetic parameters to the stochastic analysis of liposome-encapsulated CFPS systems and the assessment of energy supply properties in combination with flux balance analysis (FBA).
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页数:7
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