Literature DB >> 15454459

Tertiary structure predictions on a comprehensive benchmark of medium to large size proteins.

Yang Zhang1, Jeffrey Skolnick.   

Abstract

We evaluate tertiary structure predictions on medium to large size proteins by TASSER, a new algorithm that assembles protein structures through rearranging the rigid fragments from threading templates guided by a reduced Calpha and side-chain based potential consistent with threading based tertiary restraints. Predictions were generated for 745 proteins 201-300 residues in length that cover the Protein Data Bank (PDB) at the level of 35% sequence identity. With homologous proteins excluded, in 365 cases, the templates identified by our threading program, PROSPECTOR_3, have a root-mean-square deviation (RMSD) to native < 6.5 angstroms, with >70% alignment coverage. After TASSER assembly, in 408 cases the best of the top five full-length models has a RMSD < 6.5 angstroms. Among the 745 targets are 18 membrane proteins, with one-third having a predicted RMSD < 5.5 A. For all representative proteins less than or equal to 300 residues that have corresponding multiple NMR structures in the Protein Data Bank, approximately 20% of the models generated by TASSER are closer to the NMR structure centroid than the farthest individual NMR model. These results suggest that reasonable structure predictions for nonhomologous large size proteins can be automatically generated on a proteomic scale, and the application of this approach to structural as well as functional genomics represent promising applications of TASSER. Copyright 2004 Biophysical Society

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Year:  2004        PMID: 15454459      PMCID: PMC1304683          DOI: 10.1529/biophysj.104.045385

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  30 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Defrosting the frozen approximation: PROSPECTOR--a new approach to threading.

Authors:  J Skolnick; D Kihara
Journal:  Proteins       Date:  2001-02-15

Review 3.  Membrane protein folding and stability: physical principles.

Authors:  S H White; W C Wimley
Journal:  Annu Rev Biophys Biomol Struct       Date:  1999

Review 4.  Structural genomics and its importance for gene function analysis.

Authors:  J Skolnick; J S Fetrow; A Kolinski
Journal:  Nat Biotechnol       Date:  2000-03       Impact factor: 54.908

5.  Do more complex organisms have a greater proportion of membrane proteins in their genomes?

Authors:  T J Stevens; I T Arkin
Journal:  Proteins       Date:  2000-06-01

6.  Prospects for ab initio protein structural genomics.

Authors:  K T Simons; C Strauss; D Baker
Journal:  J Mol Biol       Date:  2001-03-09       Impact factor: 5.469

Review 7.  Structure determination of membrane-associated proteins from nuclear magnetic resonance data.

Authors:  J D Baleja
Journal:  Anal Biochem       Date:  2001-01-01       Impact factor: 3.365

8.  Modeling of loops in protein structures.

Authors:  A Fiser; R K Do; A Sali
Journal:  Protein Sci       Date:  2000-09       Impact factor: 6.725

Review 9.  Comparative protein structure modeling of genes and genomes.

Authors:  M A Martí-Renom; A C Stuart; A Fiser; R Sánchez; F Melo; A Sali
Journal:  Annu Rev Biophys Biomol Struct       Date:  2000

Review 10.  Two-dimensional crystallization of membrane proteins: the lipid layer strategy.

Authors:  D Levy; M Chami; J L Rigaud
Journal:  FEBS Lett       Date:  2001-08-31       Impact factor: 4.124

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  28 in total

1.  TASSER_WT: a protein structure prediction algorithm with accurate predicted contact restraints for difficult protein targets.

Authors:  Seung Yup Lee; Jeffrey Skolnick
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

2.  Calculation of the entropy of random coil polymers with the hypothetical scanning Monte Carlo method.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  J Chem Phys       Date:  2005-12-01       Impact factor: 3.488

3.  TASSER-Lite: an automated tool for protein comparative modeling.

Authors:  Shashi Bhushan Pandit; Yang Zhang; Jeffrey Skolnick
Journal:  Biophys J       Date:  2006-09-08       Impact factor: 4.033

4.  M-TASSER: an algorithm for protein quaternary structure prediction.

Authors:  Huiling Chen; Jeffrey Skolnick
Journal:  Biophys J       Date:  2007-09-28       Impact factor: 4.033

5.  A threading-based method (FINDSITE) for ligand-binding site prediction and functional annotation.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-28       Impact factor: 11.205

Review 6.  FINDSITE: a combined evolution/structure-based approach to protein function prediction.

Authors:  Jeffrey Skolnick; Michal Brylinski
Journal:  Brief Bioinform       Date:  2009-03-26       Impact factor: 11.622

7.  An improved hybrid global optimization method for protein tertiary structure prediction.

Authors:  Scott R McAllister; Christodoulos A Floudas
Journal:  Comput Optim Appl       Date:  2010-03-01       Impact factor: 2.167

8.  Benchmarking of TASSER_2.0: an improved protein structure prediction algorithm with more accurate predicted contact restraints.

Authors:  Seung Yup Lee; Jeffrey Skolnick
Journal:  Biophys J       Date:  2008-05-16       Impact factor: 4.033

9.  Protein model refinement using an optimized physics-based all-atom force field.

Authors:  Anna Jagielska; Liliana Wroblewska; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-11       Impact factor: 11.205

10.  Q-Dock: Low-resolution flexible ligand docking with pocket-specific threading restraints.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  J Comput Chem       Date:  2008-07-30       Impact factor: 3.376

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