生物
基因组
底漆(化妆品)
计算生物学
基因敲除
比例(比率)
基因预测
约束(计算机辅助设计)
基因
基因组学
遗传学
工程类
机械工程
化学
物理
有机化学
量子力学
作者
Edward J. O’Brien,Jonathan M. Monk,Bernhard Ø. Palsson
出处
期刊:Cell
[Cell Press]
日期:2015-05-01
卷期号:161 (5): 971-987
被引量:543
标识
DOI:10.1016/j.cell.2015.05.019
摘要
Constraint-based reconstruction and analysis (COBRA) methods at the genome scale have been under development since the first whole-genome sequences appeared in the mid-1990s. A few years ago, this approach began to demonstrate the ability to predict a range of cellular functions, including cellular growth capabilities on various substrates and the effect of gene knockouts at the genome scale. Thus, much interest has developed in understanding and applying these methods to areas such as metabolic engineering, antibiotic design, and organismal and enzyme evolution. This Primer will get you started.
科研通智能强力驱动
Strongly Powered by AbleSci AI