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My research focuses on the study of proteins and the molecules they interact with. Our goal is to develop efficient and correct algorithms capable of providing biologists and chemists informational leverage in solving their problems. In most cases, we deal with noisy experimental data sources and are forced to reason under uncertainty. As a result, our algorithms tend to draw from machine learning, machine vision, and combinatorial optimization. Research themes include: Protein Structure Determination (x-ray crystallography, cryo electron microscopy), Modification of Protein Structure and Function (modeling of protein mutations), Structure Analysis (structure-based drug design), Ligand Structure (retrosynthetic chemical synthesis planning), and the Relationship between Nucleotide Sequence and Protein Structure. Our research is performed in close collaboration with biologists and chemists.
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Software that Could Win the Stanley Cup, itWorldCanada profiles our Computational Hockey project
The University of Toronto works on a project that makes use of machine vision to analyze the plays of major hockey teams and potentially improve their performance. Will it help? NHL veteran Steve Thomas makes the call...
Six Canadian Research Teams Among Those Funded Through Gates' Grant Challenges, The lab receives a Grand Challenges Explorations award
Six Canadian research teams are among 104 international scientists and scientific teams that will receive funding through the Bill and Melinda Gates Foundation's Grand Challenges Exploration grants... (more info here) |
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