Tuberculosis drug discovery gets smarter with AI
When researchers screen potential tuberculosis drugs, they often end up with too many options.
When researchers screen potential tuberculosis drugs, they often end up with too many options.
The short version
- Some look promising but later prove to be costly dead ends.
- "We might get thousands of compounds from a screen and then have to decide which one are we going to work on?" said James Sacchettini, Ph.D., the Rodger J.
- Wolfe-Welch Foundation Chair in Science, Texas A&M AgriLife Research scientist and professor in the Texas A&M College of Agriculture and Life Sciences Department of Biochemistry and Biophysics and College of Arts and Sciences Department of Chemistry.
What happened
This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility: His lab recently built an artificial intelligence tool to help scientists focus their efforts after initial screening.
Why it matters
The team is also using AI to organize years of collaborative data into a searchable form.
Summary by Nerd News Network. Read the full article at Phys.org via the links above and below.