Using artificial intelligence to predict drugs that may inhibit COVID-19 (Russ Altman)

Altman and his group have used artificial intelligence to computationally predict six drugs that could inhibit TMPRSS2, a protein that plays a key role in SARS-CoV-2 infections. Altman and his collaborators outside of Stanford Medicine plan to conduct experimental follow-up studies to explore the efficacy of two of the drugs in blocking SARS-CoV-2 from causing infection. While promising, the potential drugs are still part of a preliminary computational analysis and would be dangerous to use clinically at this time. Stanford Office of Technology Licensing 650-723-0651

Related Blog

Smart, interactive desk

Get ready to take your space management game to the next level with the University of Glasgow’s innovative project! By combining the

Mechanical Hamstring™

University of Delaware Technology Overview This device was created to allow athletes who suffer a hamstring strain to return to the field

Join Our Newsletter

                                                   Receive Innovation Updates, New Listing Highlights And More