The US Department of Health and Human Services (HHS) last week announced funding for a project that will use artificial intelligence (AI) to accelerate the discovery and development of new antibiotics.
To speed up the lengthy and laborious process of screening and testing molecular compounds for antibacterial activity, the Transforming Antibiotic R&D with Generative AI to stop Emerging Threats (TARGET) project will use generative AI to broaden the pool of candidate molecules for screening and deep learning to assess each candidate's effectiveness as an antibiotic. The aim of the project, which is being funded through the Advanced Research Projects Agency for Health (ARPA-H), is to identify 15 promising leads for new antibiotics.
"The rise of antibiotic resistance threatens to turn once-treatable infections into life-threatening ones, but with AI, we can accelerate the discovery of new antibiotics to address this threat like never before," ARPA-H Director Renee Wegrzyn, PhD, said in a press release. "With TARGET, ARPA-H is bringing together experts across antibiotic discovery, AI, and clinical testing to ensure we can refill the global pipeline of antibiotics and stop people from becoming seriously ill due to treatable infections."
The project will be led by Phare Bio, in collaboration with the Collins Lab at the Massachusetts Institute of Technology and Harvard University's Wyss Institute, with a budget of up to $27 million.