为基因组提供营养：膳食氨基酸组成的计算机模拟优化
Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition.
作者信息
MacArthur Michael R, Mitchell James R
机构信息
Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
出版信息
Cell Metab. 2017 Mar 7;25(3):486-488. doi: 10.1016/j.cmet.2017.02.015.
Abstract
Optimizing dietary amino acid ratios to achieve maximal growth and reproduction has historically required tedious empirical studies. In this issue, Piper et al. (2017) present an in silico method of essential amino acid optimization based on the translated portion of an organism's genome, or exome.
摘要
历史上，优化膳食氨基酸比例以实现最大生长和繁殖需要进行繁琐的实证研究。在本期中，派珀等人（2017年）提出了一种基于生物体基因组翻译部分（即外显子组）的必需氨基酸优化的计算机模拟方法。
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