Research Mentors

Institution and Department

Research Focus

Ivet Bahar

Pitt – Computational Biology

Analytical models and computational methods for predicting the dynamics of large biomolecular-systems and networks of proteins.

Carlos Camacho

Pitt – Computational Biology

Modeling of physical interactions responsible for molecular recognition; Developing new techniques for predicting protein complex strucures.

David Koes

Pitt – Computational & Systems Biology


Developing novel computational algorithms and building full-scale systems to support rapid and inexpensive drug discovery.

Timothy Lezon

Pitt – Cell Biology and Physiology

Developing coarse-grained models for studying large-scale protein dynamics.

Jeffry Madura

Duquesne - Chemistry & Biochemistry and the Center for Computational Sceinces

Development and application of methods to study the strucutre, function, and dynamics of proteins and enzymes in solution and at interfaces.

Sean Xie

Pitt – Pharmaceutical Sciences/Drug Discovery Institute

His research interests are: 1) GPCR CB2 membrane protein structure/function studies. 2) Methods and algorithms development for knowledgebase-target identifications and structure-based drug design for multiple myeloma, osteoporosis and hematopoietic stem cell expansion by using the integrated computational chemical genomics virtual screening, bioassay validation and medicinal chemistry synthesis approaches. (www.CBligand.org/xielab and www.CBLigand.org/CCGS)