Topics and Expertise: Drug Discovery

Shoichet’s “docking” approach continues to produce better drugs with fewer side effects.

Research into SARS-CoV-2 variants and potential therapies pushes forward

Team efforts at the School and beyond produce two potential treatments for COVID-19.

ChimeraX, virtual reality software developed at the UCSF Resource for Biocomputing, Visualization and Informatics, is now the tool of choice for computational structural biologists in the School of Pharmacy. The Jacobson Lab recently used ChimeraX to find a promising new cure for a drug-resistant...

Michael Keiser, PhD, and Kangway Chuang, PhD, want to use machine learning to speed the pace of drug discovery. By digging into the work of another lab, the pair realized how machine learning could lead scientists astray—and came up with methods to avoid its worst pitfalls.

School of Pharmacy researchers helped a free public database of potential drug molecules grow 100-fold.

Michael Keiser, PhD, received a Ben Barres Early Career Acceleration Award from the Chan Zuckerberg Initiative, which will fund his research into novel therapies for neurodegeneration.

Drug discovery today begins with computation rather than test tube experimentation. Three School of Pharmacy faculty emeriti, Robert Langridge, Irwin “Tack” Kuntz, and the late Peter Kollman, were awarded the UCSF Medal for creating computational tools for drug discovery that are now used worldwide.