ArticleMicrobial biotechnology2026
Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth.
Article in Microbial biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Bifidobacterium longum is a prevalent human gut symbiont whose carbohydrate metabolism is well characterized, whereas the quantitative contribution of amino acids to growth remains unclear. Here, we combined genome-based pathway analysis, growth phenotyping in chemically defined media, and iterative machine-learning-guided medium design to quantify amino acid preferences in B. longum subsp. longum JCM 1217
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