Faculty of Engineering and Natural Sciences
Discovering Synergistic Drug Combinations Using Genetic Interactions
Using multiple therapeutics for disease treatment is a promising direction in medicine. However, what drugs should be combined for a desired effect is mostly decided by serendipity. Limited systematic exploration of drug combinations has been costly and inefficient. In this talk, I will present a method for discovering synergistic drug combinations. Two genes are defined to have a synergistic genetic interaction when deletion of both genes results in a surprisingly slow growth rate given the growth of each deletion strain. It is thought that such genetic interactions exist between proteins acting on parallel pathways. Then, if two drugs inhibit two respective genes that have a synergistic genetic interaction, then these drugs should be acting synergistically, since they will be inhibiting parallel pathways. By combining the available genetic interaction datasets and known drug targets in S.cerevisiae, I predicted nine synergistic drug pairs. Of these, six pairs were experimentally verified to be synergistic. The method presented here constitutes the first prediction scheme for synergistic drug pairs and has enormous potential for treatment of disease.
Murat Çokol received his B.S. degree from
University and his Ph.D. from
University. He is currently doing his post-doctoral studies in
School. His research interests include protein localization, scientific publication patterns and drug mechanism of action.
July 29, 2009, 13:40, FENS 2019