Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition

Michael R MacArthur; James R Mitchell

doi:10.1016/j.cmet.2017.02.015

Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition

Cell Metab. 2017 Mar 7;25(3):486-488. doi: 10.1016/j.cmet.2017.02.015.

Authors

Michael R MacArthur¹, James R Mitchell²

Affiliations

¹ Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
² Department of Genetics and Complex Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: jmitchel@hsph.harvard.edu.

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.

Publication types

Comment

MeSH terms

Amino Acids
Computer Simulation*
Diet*
Reproduction

Substances

Amino Acids

Abstract

Publication types

MeSH terms

Substances

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