Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition
- PMID: 28273468
- PMCID: PMC5752111
- DOI: 10.1016/j.cmet.2017.02.015
Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition
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.
Copyright © 2017. Published by Elsevier Inc.
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Comment on
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Matching Dietary Amino Acid Balance to the In Silico-Translated Exome Optimizes Growth and Reproduction without Cost to Lifespan.Cell Metab. 2017 Mar 7;25(3):610-621. doi: 10.1016/j.cmet.2017.02.005. Cell Metab. 2017. PMID: 28273481 Free PMC article.
References
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- Harper AE, Benevenga NJ, Wohlhueter RM. Physiol Rev. 1970;50:428–558. - PubMed
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- Magendie F. Précis Élémentaire de Physiologie. Chez Mequignon-Marvis, Libraire pour la partie de Médecine; 1816.
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