首页|Texas A&M University Reports Findings in Personalized Medicine (Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning)
Texas A&M University Reports Findings in Personalized Medicine (Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Wiley
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.”
College StationUnited StatesNorth and Central AmericaClostridiumCyborgsDrugs and TherapiesEmerging TechnologiesGram-Positive BacteriaGram- Positive Endospore-Forming BacteriaGram-Positive Endospore-Forming RodsHealth and MedicineMachine LearningPersonalized MedicinePersonalized Therapy
NETL
NSTL
Wiley
