使用基因组规模模型来预测生物能力
Edward J O'Brien1, Jonathan M Monk2, Bernhard O Palsson3
1Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California, San Diego, La Jolla, CA 92093, USA.
Cell
|May 23, 2015
概括
基于约束的重建和分析 (COBRA) 方法预测细胞功能和基因淘汰效应. 这些基因组规模模型对代谢工程和进化研究有价值.
科学领域:
- 系统生物学 系统生物学
- 代谢工程是代谢工程.
- 基因组学就是基因组学.
背景情况:
- 自20世纪90年代中期以来,基于约束的重建和分析 (COBRA) 方法已经显著发展.
- 基因组规模模型越来越能够预测细胞功能.
研究的目的:
- 为读者介绍基于约束的重建和分析 (COBRA) 方法.
- 突出COBRA在各种科学领域的应用.
主要方法:
- 基因组规模模型的开发.
- 使用COBRA来预测细胞表型.
- 分析遗传修饰的影响.
主要成果:
- COBRA 方法可以准确地预测不同基质上的细胞生长.
- 这些方法有效地预测了基因淘汰的后果.
- 在预测一系列细胞功能的过程中已被证明是有用的.
结论:
- 科布拉方法为了解细胞代谢和功能提供了强大的工具.
- 应用范围包括代谢工程,抗生素设计和进化生物学.
- 这本入门书是对这些有影响力的技术的介绍.
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