Center for the Study of Systems Biology

  • Home
  • About us
    • Members
  • Skolnick Research Group
    • Jeffrey Skolnick
    • Maximilian Brogi
    • Brendon Cara
    • Chad Choudhry
    • Brice Edelman
    • Jonathan Feldman
    • Jessica Gilmore Forness
    • Bartosz Ilkowski
    • Preetam Jukalkar
    • Giselle McPhilliamy
    • Asha Mira Rao
    • Hargobind Singh
    • Kyle Xu
    • Hongyi Zhou
    • Former Group Members
  • Publications
    • Publications
    • Preprints
  • Software and Services
    • Services
      • DESTINI
      • DR. PRODIS
      • ENTPRISE
      • ENTPRISE-X
      • FINDSITEcomb
      • FINDSITEcomb2.0
      • FRAGSITE
      • FRAGSITE2
      • FRAGSITEcombM
      • Know-GENE
      • LeMeDISCO
      • MEDICASCY
      • MOATAI-VIR
      • PHEVIR
      • PICMOA
    • Downloads
      • AF2Complex
      • AF3Complex
      • APoc
      • Cavitator
      • DBD-Hunter
      • DBD-Threader
      • EFICAz2.5
      • Fr-TM-align
      • GOAP
      • iAlign
      • IS-score
      • LIGSIFT
      • MENDELSEEK
      • PULCHRA
      • SAdLSA
      • Valsci
    • Databases
      • Apo and Holo Pairs
      • New Human GPCR Modeling and Virtual Screening
      • PDB-like Structures
    • Simulations
      • E. coli Intracellular Dynamics
  • News & Events
    • News
    • ARCHIVE: Distinguished Lecture Series in Systems Biology
  • Jobs

Publications

 2006

Szilágyi, A, Skolnick J. 2006. Efficient prediction of nucleic acid binding function from low-resolution protein structures. Journal of molecular biology. 358(3):922-33. PDF

Grimm, V, Zhang Y, Skolnick J. 2006. Benchmarking of dimeric threading and structure refinement. Proteins. 63(3):457-65. PDF

Lee, S Y, Zhang Y, Skolnick J. 2006. TASSER-based refinement of NMR structures. Proteins. 63(3):451-6. PDF

Zhang, Y, Hubner IA, Arakaki AK, Shakhnovich EI, Skolnick J. 2006. On the origin and highly likely completeness of single-domain protein structures. Proceedings of the National Academy of Sciences of the United States of America. 103(8):2605-10. PDF Supplementary Data

Zhang, Y, Devries ME, Skolnick J. 2006. Structure modeling of all identified G protein-coupled receptors in the human genome. PLoS computational biology. 2(2):e13. PDF Supplementary Data

Pandit, S B, Zhang Y, Skolnick J. 2006. TASSER-Lite: an automated tool for protein comparative modeling. Biophysical journal. 91(11):4180-90. PDF

Skolnick, J. 2006. In quest of an empirical potential for protein structure prediction. Current opinion in structural biology. 16(2):166-71. PDF

Arakaki, AK, Tian W, Skolnick J. 2006. High precision multi-genome scale reannotation of enzyme function by EFICAz. BMC genomics. 7:315. PDF

2005

Bindewald, E, Skolnick J. 2005. A scoring function for docking ligands to low-resolution protein structures. Journal of computational chemistry. 26(4):374-83. PDF

Szilágyi, A, Grimm V, Arakaki AK, Skolnick J. 2005. Prediction of physical protein-protein interactions. Physical biology. 2(2):S1-16. PDF

Zhang, Y, Skolnick J. 2005. The protein structure prediction problem could be solved using the current PDB library. Proceedings of the National Academy of Sciences of the United States of America. 102(4):1029-34. PDF

Skolnick, J. 2005. Putting the pathway back into protein folding. Proceedings of the National Academy of Sciences of the United States of America. 102(7):2265-6. PDF

Zhang, Y, Arakaki AK, Skolnick J. 2005. TASSER: an automated method for the prediction of protein tertiary structures in CASP6. Proteins. 61 Suppl 7:91-8. PDF

Zhang, Y, Skolnick J. 2005. TM-align: a protein structure alignment algorithm based on the TM-score. Nucleic acids research. 33(7):2302-9. PDF

Skolnick, J, Zhang Y, Kolinski A. 2005. Ab Initio modeling. In: A. Edwards, M. Norin and M. Sundstrom, Eds. Structural Genomics and High Throughput Structural Biology. CRC/Taylor & Francis, Boca Raton, FL, Chapter VIII,137-162.

2004

Betancourt, MR, Skolnick J. 2004. Local propensities and statistical potentials of backbone dihedral angles in proteins. Journal of molecular biology. 342(2):635-49. PDF

Zhang, Y, Skolnick J. 2004. Tertiary structure predictions on a comprehensive benchmark of medium to large size proteins. Biophysical journal. 87(4):2647-55. PDF

Zhang, Y, Skolnick J. 2004. Automated structure prediction of weakly homologous proteins on a genomic scale. Proceedings of the National Academy of Sciences of the United States of America. 101(20):7594-9. PDF Supplementary Data

Arakaki, AK, Zhang Y, Skolnick J. 2004. Large-scale assessment of the utility of low-resolution protein structures for biochemical function assignment. Bioinformatics (Oxford, England). 20(7):1087-96. PDF Supplementary Data

Kihara, D, Skolnick J. 2004. Microbial genomes have over 72% structure assignment by the threading algorithm PROSPECTOR_Q. Proteins. 55(2):464-73. PDF

Zhang, Y, Skolnick J. 2004. Scoring function for automated assessment of protein structure template quality. Proteins. 57(4):702-10. PDF

Skolnick, J, Kihara D, Zhang Y. 2004. Development and large scale benchmark testing of the PROSPECTOR_3 threading algorithm. Proteins. 56(3):502-18. PDF

Li, W, Zhang Y, Skolnick J. 2004. Application of sparse NMR restraints to large-scale protein structure prediction. Biophysical journal. 87(2):1241-8. PDF

Tian, W, Arakaki AK, Skolnick J. 2004. EFICAz: a comprehensive approach for accurate genome-scale enzyme function inference. Nucleic acids research. 32(21):6226-39. PDF

Kolinski, A, Skolnick J. 2004. Reduced models of proteins and their applications. Polymer. 45(2):511-524. PDF

2003

Skolnick, J. 2003. What practical use is protein structure prediction to drug discovery? BioIT World. PDF

Tian, W, Skolnick J. 2003. How well is enzyme function conserved as a function of pairwise sequence identity? Journal of molecular biology. 333(4):863-82. PDF

Li, W, Zhang Y, Kihara D, Huang Y J, Zheng D, Montelione GT, Kolinski A, Skolnick J. 2003. TOUCHSTONEX: protein structure prediction with sparse NMR data. Proteins. 53(2):290-306. PDF

Boniecki, M, Rotkiewicz P, Skolnick J, Kolinski A. 2003. Protein fragment reconstruction using various modeling techniques. Journal of computer-aided molecular design. 17(11):725-38. PDF

Kolinski, A, Klein P, Romiszowski P, Skolnick J. 2003. Unfolding of globular proteins: monte carlo dynamics of a realistic reduced model. Biophysical journal. 85(5):3271-8. PDF

Lu, H, Lu L, Skolnick J. 2003. Development of unified statistical potentials describing protein-protein interactions. Biophysical journal. 84(3):1895-901. PDF Supplementary Data

Pokarowski, P, Kolinski A, Skolnick J. 2003. A minimal physically realistic protein-like lattice model: designing an energy landscape that ensures all-or-none folding to a unique native state. Biophysical journal. 84(3):1518-26. PDF

Lu, L, Arakaki AK, Lu H, Skolnick J. 2003. Multimeric threading-based prediction of protein-protein interactions on a genomic scale: application to the Saccharomyces cerevisiae proteome. Genome research. 13(6A):1146-54. PDF

Kolinski, A, Gront D, Pokarowski P, Skolnick J. 2003. A simple lattice model that exhibits a protein-like cooperative all-or-none folding transition. Biopolymers. 69(3):399-405. PDF

Kihara, D, Skolnick J. 2003. The PDB is a covering set of small protein structures. Journal of molecular biology. 334(4):793-802.PDF

Lu, H, Skolnick J. 2003. Application of statistical potentials to protein structure refinement from low resolution ab initio models. Biopolymers. 70(4):575-84. PDF

Haliloglu, T, Kolinski A, Skolnick J. 2003. Use of residual dipolar couplings as restraints in ab initio protein structure prediction. Biopolymers. 70(4):548-62. PDF

Zhang, Y, Kolinski A, Skolnick J. 2003. TOUCHSTONE II: a new approach to ab initio protein structure prediction. Biophysical journal. 85(2):1145-64. PDF

Skolnick, J, Zhang Y, Arakaki AK, Kolinski A, Boniecki M, Szilágyi A, Kihara D. 2003. TOUCHSTONE: a unified approach to protein structure prediction. Proteins. 53 Suppl 6:469-79. PDF

2002

Lu, L, Lu H, Skolnick J. 2002. MULTIPROSPECTOR: an algorithm for the prediction of protein-protein interactions by multimeric threading. Proteins. 49(3):350-64. PDF

Viñals, J, Kolinski A, Skolnick J. 2002. Numerical study of the entropy loss of dimerization and the folding thermodynamics of the GCN4 leucine zipper. Biophysical journal. 83(5):2801-11. PDF

Wojciechowski, M, Skolnick J. 2002. Docking of small ligands to low-resolution and theoretically predicted receptor structures. Journal of computational chemistry. 23(1):189-97. PDF

Fetrow, JS, Giammona A, Kolinski A, Skolnick J. 2002. The protein folding problem: a biophysical enigma. Current pharmaceutical biotechnology. 3(4):329-47. PDF

Zhang, Y, Kihara D, Skolnick J. 2002. Local energy landscape flattening: parallel hyperbolic Monte Carlo sampling of protein folding. Proteins. 48(2):192-201. PDF

Kihara, D, Zhang Y, Lu H, Kolinski A, Skolnick J. 2002. Ab initio protein structure prediction on a genomic scale: application to the Mycoplasma genitalium genome. Proceedings of the National Academy of Sciences of the United States of America. 99(9):5993-8. PDF

Sikorski, A, Kolinski A, Skolnick J. 2002. Computer simulations of protein folding with a small number of distance restraints. Acta biochimica Polonica. 49(3):683-92. PDF

Skolnick, J, Kolinski A. 2002. A Unified Approach to the Prediction of Protein Structure and Function. Computational Methods for Protein Folding: A Special Volume of Advances in Chemical Physics,Volume 120, Edited by Richard A. Friesner, Series Editor I. Prigogine and Stuart A. Rice. John Wiley & Sons, Inc. 131-192. PDF

2001

Betancourt, MR, Skolnick J. 2001. Universal similarity measure for comparing protein structures. Biopolymers. 59(5):305-9. PDF

Di Gennaro, JA, Siew N, Hoffman BT, ZHANG L, Skolnick J, Neilson LI, Fetrow JS. 2001. Enhanced functional annotation of protein sequences via the use of structural descriptors. Journal of structural biology. 134(2-3):232-45. PDF

Bukhman, YV, Skolnick J. 2001. BioMolQuest: integrated database-based retrieval of protein structural and functional information. Bioinformatics (Oxford, England). 17(5):468-78. PDF

Fetrow, JS, Siew N, Di Gennaro JA, Martinez-Yamout M, Dyson HJ, Skolnick J. 2001. Genomic-scale comparison of sequence- and structure-based methods of function prediction: does structure provide additional insight? Protein Science. 10(5):1005-14. PDF

Skolnick, J, Kihara D. 2001. Defrosting the frozen approximation: PROSPECTOR–a new approach to threading. Proteins. 42(3):319-31. PDF

Kihara, D, Lu H, Kolinski A, Skolnick J. 2001. TOUCHSTONE: an ab initio protein structure prediction method that uses threading-based tertiary restraints. Proceedings of the National Academy of Sciences of the United States of America. 98(18):10125-30. PDF

Lu, H, Skolnick J. 2001. A distance-dependent atomic knowledge-based potential for improved protein structure selection. Proteins. 44(3):223-32. PDF

Kolinski, A, Betancourt MR, Kihara D, Rotkiewicz P, Skolnick J. 2001. Generalized comparative modeling (GENECOMP): a combination of sequence comparison, threading, and lattice modeling for protein structure prediction and refinement. Proteins. 44(2):133-49. PDF

Skolnick, J, Kolinski A, Kihara D, Betancourt MR, Rotkiewicz P, Boniecki M. 2001. Ab initio protein structure prediction via a combination of threading, lattice folding, clustering, and structure refinement.. Proteins. Suppl 5:149-56. PDF

Zhang, Y, Skolnick J. 2001. Parallel-hat tempering: A Monte Carlo search scheme for the identification of low-energy structures. The Journal of Chemical Physics. 115(11):5027. PDF

Betancourt, MR, Skolnick J. 2001. Finding the needle in a haystack: educing native folds from ambiguousab initio protein structure predictions. Journal of Computational Chemistry. 22(3):339-353. PDF

Skolnick, J, Kolinski A. 2001. Computational studies of protein folding. Computing in Science & Engineering. 3:22-31. PDF

Gront, D, Kolinski A, Skolnick J. 2001. A new combination of replica exchange Monte Carlo and histogram analysis for protein folding and thermodynamics. Journal of Computational Physics. 115:1569-1574. PDF

Pages: 1 2 3 4 5 6 7

  • Skolnick Research Group
    • Jeffrey Skolnick
    • Maximilian Brogi
    • Brendon Cara
    • Chad Choudhry
    • Brice Edelman
    • Jonathan Feldman
    • Jessica Gilmore Forness
    • Bartosz Ilkowski
    • Preetam Jukalkar
    • Giselle McPhilliamy
    • Asha Mira Rao
    • Hargobind Singh
    • Kyle Xu
    • Hongyi Zhou
    • Former Group Members
  • Software and Services
    • Services
      • DESTINI
      • DR. PRODIS
      • ENTPRISE
      • ENTPRISE-X
      • FINDSITEcomb
      • FINDSITEcomb2.0
      • FRAGSITE
      • FRAGSITE2
      • FRAGSITEcombM
      • Know-GENE
      • LeMeDISCO
      • MEDICASCY
      • MOATAI-VIR
      • PHEVIR
      • PICMOA
    • Downloads
      • AF2Complex
      • AF3Complex
      • APoc
      • Cavitator
      • DBD-Hunter
      • DBD-Threader
      • EFICAz2.5
      • Fr-TM-align
      • GOAP
      • iAlign
      • IS-score
      • LIGSIFT
      • MENDELSEEK
      • PULCHRA
      • SAdLSA
      • Valsci
    • Databases
      • Apo and Holo Pairs
      • New Human GPCR Modeling and Virtual Screening
      • PDB-like Structures
    • Simulations
      • E. coli Intracellular Dynamics

Copyright © 2025 · Minimum Pro on Genesis Framework · WordPress · Log in