UCSF

Tagged: off-target effects

Computer models successfully predict drug side effects

New computer models were able to successfully predict negative side effects for hundreds of currently marketed drugs, report researchers from the UCSF School of Pharmacy, SeaChange Pharmaceuticals, and Novartis Institutes for Biomedical Research in

Shoichet research one of top breakthroughs for 2009

Wired Science has cited a computational model developed in the UCSF School of Pharmacy under the direction of faculty member Brian Shoichet, PhD, and applied and tested by scientists at the University of North Carolina at Chapel Hill School of Medicine, as one

Method to predict polypharmacology developed in Shoichet Lab

A computational method developed in the UCSF School of Pharmacy under the direction of faculty member Brian Shoichet, PhD, has the potential to predict new target diseases for existing drugs as well as unexpected side effects of approved drugs.