There has been an extraordinary evolution in the knowledge and tools related to drug metabolism, transport, and modeling and simulation over the past 2 decades. Industry, academic and regulatory scientists with interests in drug metabolism, transporters, pharmacokinetics and related disciplines will gather at the 47th Drug Metabolism Gordon Research Conference to learn about and discuss how these advances currently translate into clinical predictivity. Young investigators, including postdoctoral fellows and graduate students, will interact with academic and industry leaders in an informal setting. The collegial nature and the opportunity to learn, discuss unpublished research, share new ideas, and establish collaborations, have made this venue a favorite in the drug metabolism community. 

The 2017 conference will focus on integrating the new discoveries, technologies and techniques into optimal clinical predictions from a DMPK perspective. Sessions will include advances in metabolic and transporter predictions (and their relationship to Pharmacokinetics and Safety), extrahepatic P450s, non-P450 mechanisms, antibodies and antibody-drug conjugates (ADC), PBPK and other predictive tools and challenging traditional metabolism and transporter mechanisms. Each presentation will include unpublished data and expert opinions to stimulate audience discussion. Attendees are encouraged to submit posters. The Wednesday evening program features oral presentations selected from the submitted posters by young investigators. 

With scientific sessions in the mornings and evenings, the afternoons are set aside for attendees to enjoy the many outdoor recreational activities in the New Hampshire area. Afternoon "traditions" of this conference include an Academia vs. Industry softball game (Tuesday; no experience necessary!), and hiking and kayaking/canoeing outings in the White Mountains. The registration fee includes all meals and housing on the Holderness School campus. We hope that you will join us for an outstanding meeting focused on the advances in drug metabolism science as they relate to clinical predictivity.