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.


The 16th annual International Conference on Intelligent Systems for Molecular Biology will be held in Toronto this summer. ISMB is one of the two most influential computational biology conferences worldwide. We are helping organize a special session on protein structure. Financial support for our special session is provided in part by MITACS.

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