The Chinese University of Hong Kong
Department of Computer Science and Engineering


Title: Integrating Computational and Experimental Methods in Proteomics and Drug Discovery
Date: September 29, 2015 (Tuesday)
Time: 10:30 a.m. - 11:30 a.m.
Venue: Room 1021 & 1021B, 10/F, Ho Sin-hang Engineering Building,
The Chinese University of Hong Kong,
Shatin, N.T.
Speaker: Prof. Philip Kim
Associate Professor
University of Toronto



I will present our advances in combining computational and experimental techniques to develop novel inhibitors. We have developed an integrated pipeline that first computationally designs large libraries of potential inhibitors and can then screen these for either cellular phenotype or high affinity binding. I will showcase this pipeline on two example applications,

first for developing inhibitors to protein-protein interactions and second for developing novel high-affinity biologics. I will also present work on alternative splicing and updates to transcription factor recognition codes.



Philip M. Kim is an Associate Professor at the University of Toronto. His main expertise is in the identification, analysis and perturbation of protein interactions. His lab is developing novel methods to dissect and inhibit interactions of modular protein domains, which involve a combination of experimental and computational methods. Other major foci of the Kim lab are roles of short linear motifs in signaling as well as effects of alternative splicing on proteins and protein interactions. Before to setting up his lab at the University of Toronto in 2009, he was a postdoctoral fellow at Yale University where he pioneered structural analyses of protein interactions networks and an associate with McKinsey & Co. He holds a Ph.D. from the Massachusetts Institute of Technology and a B.S. in Biochemistry and Physics from the University of Tuebingen.


Enquiries: Miss Evelyn Lee at tel 3943 8444

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