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.


New work from our lab!




The Protein Small Molecule Database, from Izhar Wallach
The PSMDB provides non-redundant sets of protein - small-molecule complexes that are especially suitable for structure-based drug design and protein function prediction.

LigAlign, from Abraham Heifets
LigAlign is a free plugin for PyMOL which implements a novel algorithm for ligand-fragment-based active site alignment.

Computer Science (office)

DL Pratt Building - Rm 286A
6 Kings College Road

Computer Science (mailing)

Ryan Lilien
UofT - Dept of CS - RM 3302
10 Kings College Rd.
Toronto, Ontario M5S-3G4
Canada

CCBR (office)

Donnelly CCBR - Rm 610
160 College Street

E-Mail

[firstname] <dot> [lastname] <at> utoronto <<dot>> ca