Prof. Bruce Tidor

Professor of Biological Engineering and Computer Science
Vice Provost for International Activities

Primary DLC

Department of Biological Engineering

MIT Room: 32-212

Assistant

Nira Manokharan
nira@csail.mit.edu

Areas of Interest and Expertise

Biomolecular Engineering
Biophysics
Computational Modeling
Drug Delivery
Macromolecular Biochemistry
Omics
Pharmacology
Systems Biology

Research Summary

Professor Tidor completed his Bachelor’s degree in Chemistry and Physics at Harvard College. After a Master of Science degree at the University of Oxford, UK as a Marshall Scholar, he returned to his Alma Mater at Harvard for his doctoral studies in Biophysics. Tidor spent four years as a Whitehead Fellow at the Whitehead Institute for Biomedical Research. He joined MIT as Assistant Professor of Chemistry in 1994, became Associate Professor of Biological Engineering and Computer Science in 2001, and Professor of Biological Engineering and Computer Science in 2005.

Research is focused on the analysis of complex biological systems at both the molecular level and the systems level. Our molecular work concentrates on the structure and properties of proteins, nucleic acids, and their complexes. Investigations probe the sources of stability and specificity that drive folding and binding events of macromolecules. Studies are aimed at dissecting the interactions responsible for the specific structure of folded proteins and the binding geometry of molecular complexes. The roles played by salt bridges, hydrogen bonds, side-chain packing, rotameric states, solvation, and the hydrophobic effect in native biomolecules are being explored, and strategies for re-casting these roles through structure-based molecular design are being developed. Work at the systems level involves the construction and analysis of correlated patterns of gene expression and their relation to biochemical regulatory networks and signal transduction pathways in cells. Much of this work is motivated by the enormous advances in genome science and in the availability of parallel arrays of gene expression data. The methods of theoretical and computational biophysics and approaches from artificial intelligence, applied mathematics, and chemical engineering play key roles in our work.

Recent Work