Welcome to the website of the Kim laboratory. Our research integrates modern computational and experimental approaches to solve important problems in biomedical science. We aim to have major impact on patient care and to aid in the development of new therapies in cancer and other diseases. In turn, we are aided by the breathtaking pace of discovery in many fields of bioscience today. Thus, we apply techniques ranging from modern machine learning and computational structural biology to high-throughput experimental methods such as yeast-two hybrid or pooled lentiviral screens. We strongly believe that the integration of these different methodologies makes them much more powerful and that it is the combination of modern techniques that will help us have maximum impact on the future of medicine. We thus use computational and high-throughput methods to design and validate novel inhibitory compounds against cancer, establish new combinations of existing drugs for synergistic effects and develop new innovative techniques for systems biology and translational science.
Nature). We are affiliated with the following departments and programs:
Terrence Donnelly CCBR
Department of Molecular Genetics,
Department of Computer Science,
Collaborative Program for Genome Biology and Bioinformatics
Faculty of Medicine