Phare Bio, along with the Collins Lab at the Massachusetts Institute of Technology (MIT) and Harvard’s Wyss Institute, announced that they have been awarded up to $27 million in funding from the Advanced Research Projects Agency for Health (ARPA-H), part of the U.S. Department of Health and Human Services, to enhance their generative artificial intelligence (AI) discovery platform and produce novel classes of antibiotics. With mounting concern around the AMR crisis, there is an urgent need for new antibiotics that have the potential to save millions of lives.
“The AMR crisis is accelerating, but with this collaboration with ARPA-H, another door is opening,” said Akhila Kosaraju, M.D., CEO and President of Phare Bio. “These funds allow Phare Bio to add unprecedented clinical precision to our generative AI discovery platform and develop the novel and specific antibiotics that patients and physicians so vitally need.”
Since its founding in 2020, Phare Bio has been using AI to discover and develop novel antibiotics in collaboration with Professor Jim Collins’ lab at MIT and Harvard’s Wyss Institute (“the Collins Lab”). Their recent advancement of generative AI-based antibiotic design marks a major breakthrough, enabling a new level of customization and precision in how antibiotics can be discovered. The award from ARPA-H represents not only a significant step forward in scaling Phare Bio’s antibiotic pipeline but also for expanding the capabilities of AI-based drug discovery more broadly.
“This funding allows us to advance this critical work a step further towards a bespoke, active-learning AI-based platform,” said Jim Collins, Ph.D., Phare Bio’s Co-Founder and Chair of its Scientific Advisory Board. “Such a tailored AI platform that can target specific clinical needs has yet to be developed across drug discovery, let alone for antibiotics.”
The ARPA-H funding will enable Phare Bio and the Collins Lab to:
- Generate millions of new training data points across key drug development parameters (e.g., toxicology, drug metabolism, formulation) to enable more clinical precision in AI-based drug discovery efforts
- Share their expertly curated datasets in the first open-source database for AI-based antibiotic discovery, galvanizing the next generation of antibiotics researchers
- Leverage their data to incorporate up to 10 new “filters” into Phare Bio’s generative AI drug discovery engine to produce novel and targeted antibiotics against specific bacterial disease indications (e.g., drug-resistant urinary tract infections, pneumonia, sepsis)
- Advance 15 novel AI-generated preclinical antibiotic candidates to help replenish the global pipeline of urgently needed antimicrobials
Dr. Kosaraju added, “Our ability to use generative AI has unlocked new drug design capabilities that were previously unimaginable in our industry. By progressing from pathogen targeting to indication targeting, we are launching the next generation of AI for antibiotics and bringing patient needs right to the forefront of drug discovery.”