The around town in drug discovery right this moment seems to be focused on BIA 10-2474, which my frequent collaborator Sean Ekins has weighed in on at the Collaborative Chemistry blog. In a spur of the moment effort to see if we could use some of our work-in-progress technologies to learn something about what’s going on, we ran it through a series of 1800 Bayesian models that we extracted from ChEMBL. For a detailed view, check out this link on molmatinf.com. The file is close to 20MB, so be patient if you’re on a slow connection. Continue reading →