A cross-college collaboration at The University of Alabama in Huntsville (UAH) has developed a self-learning artificial intelligence (AI) platform that uses big data analytics to discover how new pharmaceutical drugs and various molecules work inside living cells.
Two different strategies to discover and perfect pharmaceuticals active against the COVID-19 virus have attracted a half million dollars in research funding to support five institutions, including the Baudry Lab at The University of Alabama in Huntsville (UAH).
So far, 35 of 125 naturally occurring compounds identified computationally at The University of Alabama in Huntsville (UAH) to have potential against COVID-19 have shown efficacy in ongoing first-batch testing at the University of Tennessee Health Science Center’s Regional Biocontainment Laboratory (UTHSC RBL) that’s the next step in the process to becoming a drug.
In an effort to better understand how our cells work, scientists have studied the function of 208 proteins responsible for orchestrating the regulation genes in the human genome. A paper appearing in the journal “Nature” describes the collaborative effort.
The Baudry Lab at The University of Alabama in Huntsville (UAH) has identified 125 naturally occurring compounds that have a computational potential for efficacy against the COVID-19 virus from the first batch of 50,000 rapidly assessed by a supercomputer.