Faculty

Jeffrey Skolnick

Jeffrey Skolnick

Professor and Director of the Center for the Study of Systems Biology
Georgia Research Alliance Eminent Scholar in Computational Systems Biology

Faculty Bio: http://www.biology.gatech.edu/faculty/jeffrey-skolnick

High Performance Computing Area

Computational Techniques

Research Areas

Computational biology; bioinformatics; systems biology; tool development for prediction of protein structure and function from sequence; functional genomics; automatic assignment of enzymes to metabolic pathways; prediction of protein tertiary and quaternary structure and folding pathways; prediction of membrane protein tertiary structure; prediction of small molecule ligands for drug discovery; prediction of druggable protein targets; drug design, equilibrium, and dynamic properties of lipid bilayers; and simulation of virus coat protein assembly

Honors and Distinctions

Biophysical Society Fellow
Stockton Kimball Award, University at Buffalo-Medical Alumni Award
Joseph F. Foster Lecturer, Purdue University
Academy of Science of St. Louis Fellow
American Association for the Advancement of Science Fellow
Alfred P. Sloan Foundation Research Fellow
Richard Wolfgang Memorial Prize for the Most Outstanding Graduate Student in Chemistry-Yale University
John W. Sowden Prize for Outstanding Work in Chemistry-Washington University
University Scholar at Washington University

Research Summary

Jeffrey Skolnick recently completed a very promising study in cancer metabolomics where he and his research group validated a predictive algorithm that can identify novel metabolites with anticancer properties. They have also developed a new, powerful algorithm that can predict protein function, binding sites and which can be used for rapid screening ligand libraries. In addition, Skolnick has developed physics based, atomic potentials for protein structure refinement. He and his team demonstrated that the library of all protein folds is above the percolation threshhold, i.e., any protein structure can be related to any other by no more than eight imtermediate structures.