首页|Researchers use machine learning to predict how ingested drugs will interact with transport proteins
Researchers use machine learning to predict how ingested drugs will interact with transport proteins
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
Before orally administered drugs can make their way throughout the body, they must first bind to membrane proteins called drug transporters, which carry compounds across the intestinal tract and help them reach their intended targets. But because one drug can bind to several different drug transporters, they may struggle to get past this gut barrier, potentially leading to decreased drug absorption and efficacy. If another drug is added to the mix, interactions between the two compounds and their transporters can cause dangerous side effects. Researchers from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, and MIT have designed a model that analyzes the flow of drugs through tissues and uses machine learning to predict how specific compounds will interact with different transporters. When they used pig tissue to test their machine learning model on 50 approved and investigational drugs, they identified 58 previously unknown drug-transporter interactions and 1,810,270 unknown potential interactions between different drugs.
CyborgsEmerging TechnologiesMachine LearningMass General Brigham
NETL
NSTL
