Computational Biology

Computational biology

An interdisciplinary College of Engineering team has developed computational methods to predict the structures that form when two cellular proteins interact. Judged the world’s best at a major international competition, these methods have drawn more than $3 million in NIH funding.

CISE Faculty: Calin Belta, Ioannis Paschalidis and Sandor Vajda.

Overview: The CISE computational biology group uses methods from computer science, applied mathematics, and statistics to expand research efforts into bioinformatics, genome mapping, protein structure prediction, and biomodeling.

Research Impact: Building on research efforts in the biological field, the overarching goal of this research is to develop interdisciplinary methods to simplify biological modeling and to assist with genonome modeling and drug development.

Current Research Topics: metabolic and genetic networks, systems biology, protein docking, protein side-chain packing, protein-small ligand interactions

Research Spotlight: