Philip Kim

Philip Kim

Associate Professor
University of Toronto
TORONTO, ON
CANADA
 416-946-3419
 pi@kimlab.org

Abstract

Integrating Computational Design with Screening in Mammalian Cells for Novel Peptide Therapeutics

I will present our technology platform that integrates computational library design with modern in-cell selection strategies to uncover novel peptide therapeutics. I will cover a number of different library designs and selection methodologies, including selections for phenotype or using genetic reporter systems and cell sorting, as well as methods to obtain highly stable mirror image peptides.

Authors

hilip M. Kim, Ph.D.

Affiliations

The Donnelly Centre for Cellular and Biomolecular Research
Departments of Molecular Genetics and Computer Science
University of Toronto

Citations

Garton M, Nim S, Stone TA, Wang KE, Deber CM, Kim PM. Method to generate highly stable D-amino acid analogs of bioactive helical peptides using a mirror image of the entire PDB. Proc Natl Acad Sci U S A. 2018 Feb 13;115(7):1505-1510. doi: 10.1073/pnas.1711837115

Nim S, Jeon J, Corbi-Verge C, Seo MH, Ivarsson Y, Moffat J, Tarasova N, Kim PM. Pooled screening for antiproliferative inhibitors of protein-protein interactions. Nat Chem Biol. 2016 Apr;12(4):275-81. doi: 10.1038/nchembio.2026.

Garton M, Corbi-Verge C, Hu Y, Nim S, Tarasova N, Sherborne B, Kim PM. Rapid and accurate structure-based therapeutic peptide design using GPU accelerated thermodynamic integration. Proteins. 2019 Mar;87(3):236-244. doi: 10.1002/prot.25644

Lecture Images

Philip Kim presenting at APS2019 Philip Kim presenting at APS2019 Philip Kim presenting at APS2019