Jeffrey Skolnick

Director, Center for the Study of Systems Biology
Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology
Director, Integrative BioSystems Institute
Professor, School of Biology

Ph.D., Yale University, 1978

Center for the Study of Systems Biology
250 14th Street, NW, Room 138
Atlanta, GA 30318
Tel: (404) 407-8975
Fax: (404) 385-7478
skolnick@gatech.edu

Research Interests

  • Systems Biology, Computational Biology, and Bioinformatics
  • Cancer Metabolomics
  • Prediction of protein tertiary and quaternary structure and folding pathways
  • Prediction of membrane protein tertiary structure
  • Prediction of DNA-binding proteins
  • Protein Evolution
  • Prediction of small molecule ligands for drug discovery
  • Prediction of druggable protein targets
  • Drug Design
  • Automatic assignment of enzymes to metabolic pathways
  • Simulation of Virtual Cells

School of Biology Faculty Page | CV

Publications

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Ando, T, Skolnick J.  Submitted.  Importance of excluded volume and hydrodynamic interactions on macromolecular diffusion in vivo. Proceedings of the International Conference of the Quantum Bio-Informatics IV.
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Zhou, H, Skolnick J.  2012.  Template-based protein structure modeling using TASSERVMT. Proteins: Structure, Function, and Bioinformatics. 80(2):352-361. PDF
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Skolnick, J, Friesner R.  2011.  Editorial overview. Current Opinion in Structural Biology. 21:147-149. PDF
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Gao, M, Skolnick J.  2011.  New benchmark metrics for protein-protein docking methods. Proteins: Structure, Function, and Bioinformatics. 79(5):1623-1634. PDF
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Gao, M, Skolnick J.  2010.  Structural space of protein-protein interfaces is degenerate, close to complete, and highly connected. Proceedings of the National Academy of Sciences of the United States of America. 107(52):22517-22. PDF Supplementary Data Abstract
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Ando, T, Skolnick J.  2010.  Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motion. Proceedings of the National Academy of Sciences of the United States of America. 107:18457-18462. PDF Supplementary Data
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Ando, T, Skolnick J.  2011.  Brownian dynamics simulation of macromolecule diffusion in a protocell. Proceedings of the International Conference of the Quantum Bio-Informatics IV. 28:413-426. PDF
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Skolnick, J, Brylinski M.  2009.  Novel computational approaches to drug discovery. Proceedings of the International Conference of the Quantum Bio-Informatics III. PDF
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Skolnick, J, Friesner RA.  2009.  Theory and Simulation (Editorial overview). Current opinion in structural biology. 19(2):117-9. PDF Abstract
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Skolnick, J, Arakaki AK, Lee SY, Brylinski M.  2009.  The continuity of protein structure space is an intrinsic property of proteins. Proceedings of the National Academy of Sciences of the United States of America. 106(37):15690-5. PDF Abstract
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Pandit, S B, Zhou H, Skolnick J.  2010.  TASSER-based protein structure prediction. Introduction to Protein Structure Prediction: Methods and Algorithms. 14:219-242. PDF
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Jagielska, A, Wroblewska L, Skolnick J.  2008.  Protein model refinement using an optimized physics-based all-atom force field. Proceedings of the National Academy of Sciences of the United States of America. 105(24):8268-73. PDF Abstract
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Brylinski, M, Skolnick J.  2008.  A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation. Proceedings of the National Academy of Sciences of the United States of America. 105(1):129-34. PDF Supplementary Data Abstract
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