ArticleCell metabolism2017
Feeding the Genome: In Silico Optimization of Dietary Amino Acid Composition.
Article in Cell metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The optimal amino acid pattern for humans and its implications for nutrition of cancer patients.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.