Jeffrey Skolnick

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Andrzej KolinskiProfessor, University of WarsawVerified email at chem.uw.edu.pl
Yang ZhangNational University of SingaporeVerified email at nus.edu.sg
Hongyi ZhouGeorgia Institute of TechnologyVerified email at gatech.edu
Mu GaoAgnistaBio IncVerified email at agnistabio.com
Adam GodzikProfessor, University of California Riverside School of MedicineVerified email at medsch.ucr.edu
Jacquelyn FetrowProfessor of Chemistry and President, Albright CollegeVerified email at albright.edu
Michal BrylinskiLouisiana State UniversityVerified email at brylinski.org
Daisuke KiharaProfessor of Biological Sciences and Computer Science, Showalter University Faculty Scholar, PurdueVerified email at purdue.edu
Mariusz MilikSelvita S.A.Verified email at selvita.com
Andrzej SikorskiUniversity of WarsawVerified email at uw.edu.pl
Charles L. Brooks IIICyrus Levinthal Distinguished University Professor of Chemistry and Biophysics; Warner-Lambert/ParkeVerified email at umich.edu
Bharath SrinivasanMechanistic Chemist/Biologist and EnzymologistVerified email at astrazeneca.com
Shashi PanditIISER mohaliVerified email at iisermohali.ac.in
Michal ViethVlop IncVerified email at vlopinc.com
Antonio ReyProfessor of Physical ChemistryVerified email at ucm.es
Boris RevaComputation Biology Center, Memorial Sloan-Kettering Cancer CenterVerified email at cbio.mskcc.org
Marcos BetancourtAssistant Professor of Physics, BMCC CUNYVerified email at bmcc.cuny.edu
Alexei FinkelsteinИнститут белка РАНVerified email at vega.protres.ru
Eugene ShakhnovichProfessor of Chemistry Harvard UniversityVerified email at chemistry.harvard.edu
Ambrish RoyVertex PharmaceuticalsVerified email at vrtx.com

Jeffrey Skolnick

Georgia Institute of Technology

Verified email at gatech.edu - Homepage

Drug Discovery Personalized Medicine Virtual Ligand Screening Prediction of Adverse Drug Events


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
TM-align: a protein structure alignment algorithm based on the TM-score Y Zhang, J Skolnick Nucleic acids research 33 (7), 2302-2309, 2005	3478	2005
Scoring function for automated assessment of protein structure template quality Y Zhang, J Skolnick Proteins: Structure, Function, and Bioinformatics 57 (4), 702-710, 2004	2240	2004
Electrostatic persistence length of a wormlike polyelectrolyte J Skolnick, M Fixman Macromolecules 10 (5), 944-948, 1977	1150	1977
From genes to protein structure and function: novel applications of computational approaches in the genomic era J Skolnick, JS Fetrow Trends in biotechnology 18 (1), 34-39, 2000	758	2000
Ab initio modeling of small proteins by iterative TASSER simulations S Wu, J Skolnick, Y Zhang BMC biology 5, 1-10, 2007	678	2007
How well is enzyme function conserved as a function of pairwise sequence identity? W Tian, J Skolnick Journal of molecular biology 333 (4), 863-882, 2003	509	2003
Topology fingerprint approach to the inverse protein folding problem A Godzik, A Kolinski, J Skolnick Journal of molecular biology 227 (1), 227-238, 1992	493	1992
SPICKER: A clustering approach to identify near‐native protein folds Y Zhang, J Skolnick Journal of computational chemistry 25 (6), 865-871, 2004	481	2004
Crowding and hydrodynamic interactions likely dominate in vivo macromolecular motion T Ando, J Skolnick Proceedings of the National Academy of Sciences 107 (43), 18457-18462, 2010	454	2010
The protein structure prediction problem could be solved using the current PDB library Y Zhang, J Skolnick Proceedings of the National Academy of Sciences 102 (4), 1029-1034, 2005	447	2005
Automated structure prediction of weakly homologous proteins on a genomic scale Y Zhang, J Skolnick Proceedings of the National Academy of Sciences 101 (20), 7594-7599, 2004	422	2004
Fast procedure for reconstruction of full‐atom protein models from reduced representations P Rotkiewicz, J Skolnick Journal of computational chemistry 29 (9), 1460-1465, 2008	399	2008
A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation M Brylinski, J Skolnick Proceedings of the National Academy of sciences 105 (1), 129-134, 2008	397	2008
Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme A Kolinski, J Skolnick Proteins: Structure, Function, and Bioinformatics 18 (4), 338-352, 1994	394	1994
Simulations of the folding of a globular protein J Skolnick, A Kolinski Science 250 (4984), 1121-1125, 1990	390	1990
A distance‐dependent atomic knowledge‐based potential for improved protein structure selection H Lu, J Skolnick Proteins: Structure, Function, and Bioinformatics 44 (3), 223-232, 2001	371	2001
MULTIPROSPECTOR: an algorithm for the prediction of protein–protein interactions by multimeric threading L Lu, H Lu, J Skolnick Proteins: Structure, Function, and Bioinformatics 49 (3), 350-364, 2002	338	2002
TOUCHSTONE II: a new approach to ab initio protein structure prediction Y Zhang, A Kolinski, J Skolnick Biophysical journal 85 (2), 1145-1164, 2003	335	2003
MONSSTER: a method for folding globular proteins with a small number of distance restraints J Skolnick, A Kolinski, AR Ortiz Journal of molecular biology 265 (2), 217-241, 1997	316	1997
Structure modeling of all identified G protein–coupled receptors in the human genome Y Zhang, ME DeVries, J Skolnick PLoS computational biology 2 (2), e13, 2006	313	2006

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