Drug discovery is being pursued through computer-aided design, synthesis, biological assaying, and crystallography. Lead identification features de novo design with the ligand growing program BOMB or docking of commercial compound libraries. The cheminformatics program QikProp is applied to filter candidate molecules to ensure that they have drug-like properties. The focus of this lecture will be optimization of the resultant leads to yield potent inhibitors. Specifically, Monte Carlo/free-energy perturbation simulations are executed to identify the most promising choices for substituents on rings, heterocycles, and linking groups. The designed compounds are then synthesized and assayed. Successful application has been achieved in multiple cases, e.g., for HIV reverse transcriptase, and human and Plasmodium falciparum macrophage migration inhibitory factor (MIF); micromolar leads have been rapidly advanced to low nanomolar or picomolar inhibitors.
Recent References: Efficient Drug Lead Discovery and Optimization. Jorgensen, W. L. Acc. Chem. Res. 2009, 42, 724-733.
Computationally-Guided Optimization of a Docking Hit to Yield Catechol Diethers as Potent Anti HIV Agents. Bollini, M.; Domaoal, R. A.; Thakur, V. V.; Gallardo-Macias, R.; Spasov, K. A.; Anderson, K. A.; Jorgensen, W. L. J. Med. Chem. 2011, 54, 8582-8591.
Virtual Screening and Optimization Yield Low-Nanomolar Inhibitors of the Tautomerase Activity of Plasmodium falciparum Macrophage Migration Inhibitory Factor. Dahlgren, M. K.; Garcia, A. B.; Hare, A. A.; Tirado-Rives, J.; Leng, L.; Bucala, R.; Jorgensen, W. L. J. Med. Chem. 2012, 55, 10148-10159.
Crystal Structures of HIV-1 Reverse Transcriptase with Picomolar Inhibitors Reveal Key Interactions for Drug Design. Frey, K. M.; Bollini, M.; Mislak, A. C.; Cisneros, J. A.; Gallardo-Macias, R.; Jorgensen, W. L.; Anderson, K. A. J. Am. Chem. Soc. 2012, 134, 19501-19503.
Prof. Andrew Lyon (404-894-8222)