Robotics & Machine Learning Daily News2024,Issue(Feb.23) :9-10.DOI:10.1002/anie.202319925

Texas A&M University Reports Findings in Personalized Medicine (Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.23) :9-10.DOI:10.1002/anie.202319925

Texas A&M University Reports Findings in Personalized Medicine (Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning)

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Abstract

New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting originating in College Station, United States, by NewsRx journalists, research stated, “Anaerobes dominate the microbiota of the gastrointestinal (GI) tract, where a significant portion of small molecules can be degraded or modified. However, the enormous metabolic capacity of gut anaerobes remains largely elusive in contrast to aerobic bacteria, mainly due to the requirement of sophisticated laboratory settings.” The news reporters obtained a quote from the research from Texas A&M University, “In this study, we employed an in silico machine learning platform, MoleculeX, to predict the metabolic capacity of a gut anaerobe, Clostridium sporogenes, against small molecules. Experiments revealed that among the top seven candidates predicted as unstable, six indeed exhibited instability in C. sporogenes culture. We further identified several metabolites resulting from the supplementation of everolimus in the bacterial culture for the first time. By utilizing bioinformatics and in vitro biochemical assays, we successfully identified an enzyme encoded in the genome of C. sporogenes responsible for everolimus transformation.”

Key words

College Station/United States/North and Central America/Clostridium/Cyborgs/Drugs and Therapies/Emerging Technologies/Gram-Positive Bacteria/Gram- Positive Endospore-Forming Bacteria/Gram-Positive Endospore-Forming Rods/Health and Medicine/Machine Learning/Personalized Medicine/Personalized Therapy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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