Literature DB >> 23980156

Lessons from application of the UNRES force field to predictions of structures of CASP10 targets.

Yi He1, Magdalena A Mozolewska, Pawel Krupa, Adam K Sieradzan, Tomasz K Wirecki, Adam Liwo, Khatuna Kachlishvili, Shalom Rackovsky, Dawid Jagiela, Rafał Ślusarz, Cezary R Czaplewski, Stanisław Ołdziej, Harold A Scheraga.   

Abstract

The performance of the physics-based protocol, whose main component is the United Residue (UNRES) physics-based coarse-grained force field, developed in our laboratory for the prediction of protein structure from amino acid sequence, is illustrated. Candidate models are selected, based on probabilities of the conformational families determined by multiplexed replica-exchange simulations, from the 10th Community Wide Experiment on the Critical Assessment of Techniques for Protein Structure Prediction (CASP10). For target T0663, classified as a new fold, which consists of two domains homologous to those of known proteins, UNRES predicted the correct symmetry of packing, in which the domains are rotated with respect to each other by 180° in the experimental structure. By contrast, models obtained by knowledge-based methods, in which each domain is modeled very accurately but not rotated, resulted in incorrect packing. Two UNRES models of this target were featured by the assessors. Correct domain packing was also predicted by UNRES for the homologous target T0644, which has a similar structure to that of T0663, except that the two domains are not rotated. Predictions for two other targets, T0668 and T0684_D2, are among the best ones by global distance test score. These results suggest that our physics-based method has substantial predictive power. In particular, it has the ability to predict domain-domain orientations, which is a significant advance in the state of the art.

Entities:  

Keywords:  multi-domain packing; protein folding; structure symmetry

Mesh:

Substances:

Year:  2013        PMID: 23980156      PMCID: PMC3773777          DOI: 10.1073/pnas.1313316110

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

1.  The PSIPRED protein structure prediction server.

Authors:  L J McGuffin; K Bryson; D T Jones
Journal:  Bioinformatics       Date:  2000-04       Impact factor: 6.937

2.  Recent improvements in prediction of protein structure by global optimization of a potential energy function.

Authors:  J Pillardy; C Czaplewski; A Liwo; J Lee; D R Ripoll; R Kaźmierkiewicz; S Oldziej; W J Wedemeyer; K D Gibson; Y A Arnautova; J Saunders; Y J Ye; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-20       Impact factor: 11.205

3.  Rosetta in CASP4: progress in ab initio protein structure prediction.

Authors:  R Bonneau; J Tsai; I Ruczinski; D Chivian; C Rohl; C E Strauss; D Baker
Journal:  Proteins       Date:  2001

4.  Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing.

Authors:  Vijay S Pande; Ian Baker; Jarrod Chapman; Sidney P Elmer; Siraj Khaliq; Stefan M Larson; Young Min Rhee; Michael R Shirts; Christopher D Snow; Eric J Sorin; Bojan Zagrovic
Journal:  Biopolymers       Date:  2003-01       Impact factor: 2.505

5.  TOUCHSTONE II: a new approach to ab initio protein structure prediction.

Authors:  Yang Zhang; Andrzej Kolinski; Jeffrey Skolnick
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

6.  MONSSTER: a method for folding globular proteins with a small number of distance restraints.

Authors:  J Skolnick; A Kolinski; A R Ortiz
Journal:  J Mol Biol       Date:  1997-01-17       Impact factor: 5.469

7.  Computation of structures of homologous proteins. Alpha-lactalbumin from lysozyme.

Authors:  P K Warme; F A Momany; S V Rumball; R W Tuttle; H A Scheraga
Journal:  Biochemistry       Date:  1974-02-12       Impact factor: 3.162

Review 8.  Protein fold recognition.

Authors:  D Jones; J Thornton
Journal:  J Comput Aided Mol Des       Date:  1993-08       Impact factor: 3.686

9.  Physics-based protein-structure prediction using a hierarchical protocol based on the UNRES force field: assessment in two blind tests.

Authors:  S Ołdziej; C Czaplewski; A Liwo; M Chinchio; M Nanias; J A Vila; M Khalili; Y A Arnautova; A Jagielska; M Makowski; H D Schafroth; R Kaźmierkiewicz; D R Ripoll; J Pillardy; J A Saunders; Y K Kang; K D Gibson; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-13       Impact factor: 11.205

10.  Application of Multiplexed Replica Exchange Molecular Dynamics to the UNRES Force Field: Tests with alpha and alpha+beta Proteins.

Authors:  Cezary Czaplewski; Sebastian Kalinowski; Adam Liwo; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2009-03-10       Impact factor: 6.006

View more
  22 in total

1.  Molecular modeling of the binding modes of the iron-sulfur protein to the Jac1 co-chaperone from Saccharomyces cerevisiae by all-atom and coarse-grained approaches.

Authors:  Magdalena A Mozolewska; Paweł Krupa; Harold A Scheraga; Adam Liwo
Journal:  Proteins       Date:  2015-06-06

2.  Folding and self-assembly of a small heterotetramer.

Authors:  Fatih Yaşar; Adam K Sieradzan; Ulrich H E Hansmann
Journal:  J Chem Phys       Date:  2014-03-14       Impact factor: 3.488

3.  Performance of protein-structure predictions with the physics-based UNRES force field in CASP11.

Authors:  Paweł Krupa; Magdalena A Mozolewska; Marta Wiśniewska; Yanping Yin; Yi He; Adam K Sieradzan; Robert Ganzynkowicz; Agnieszka G Lipska; Agnieszka Karczyńska; Magdalena Ślusarz; Rafał Ślusarz; Artur Giełdoń; Cezary Czaplewski; Dawid Jagieła; Bartłomiej Zaborowski; Harold A Scheraga; Adam Liwo
Journal:  Bioinformatics       Date:  2016-07-04       Impact factor: 6.937

4.  Molecular dynamics of protein A and a WW domain with a united-residue model including hydrodynamic interaction.

Authors:  Agnieszka G Lipska; Steven R Seidman; Adam K Sieradzan; Artur Giełdoń; Adam Liwo; Harold A Scheraga
Journal:  J Chem Phys       Date:  2016-05-14       Impact factor: 3.488

Review 5.  My 65 years in protein chemistry.

Authors:  Harold A Scheraga
Journal:  Q Rev Biophys       Date:  2015-04-08       Impact factor: 5.318

6.  Protein homology model refinement by large-scale energy optimization.

Authors:  Hahnbeom Park; Sergey Ovchinnikov; David E Kim; Frank DiMaio; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-05       Impact factor: 11.205

7.  WeFold: a coopetition for protein structure prediction.

Authors:  George A Khoury; Adam Liwo; Firas Khatib; Hongyi Zhou; Gaurav Chopra; Jaume Bacardit; Leandro O Bortot; Rodrigo A Faccioli; Xin Deng; Yi He; Pawel Krupa; Jilong Li; Magdalena A Mozolewska; Adam K Sieradzan; James Smadbeck; Tomasz Wirecki; Seth Cooper; Jeff Flatten; Kefan Xu; David Baker; Jianlin Cheng; Alexandre C B Delbem; Christodoulos A Floudas; Chen Keasar; Michael Levitt; Zoran Popović; Harold A Scheraga; Jeffrey Skolnick; Silvia N Crivelli
Journal:  Proteins       Date:  2014-07-08

8.  Physics-Based Potentials for Coarse-Grained Modeling of Protein-DNA Interactions.

Authors:  Yanping Yin; Adam K Sieradzan; Adam Liwo; Yi He; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2015-04-14       Impact factor: 6.006

9.  Studies of conformational changes of an arginine-binding protein from Thermotoga maritima in the presence and absence of ligand via molecular dynamics simulations with the coarse-grained UNRES force field.

Authors:  Agnieszka G Lipska; Adam K Sieradzan; Paweł Krupa; Magdalena A Mozolewska; Sabato D'Auria; Adam Liwo
Journal:  J Mol Model       Date:  2015-03-03       Impact factor: 1.810

10.  Physics-based potentials for the coupling between backbone- and side-chain-local conformational states in the UNited RESidue (UNRES) force field for protein simulations.

Authors:  Adam K Sieradzan; Paweł Krupa; Harold A Scheraga; Adam Liwo; Cezary Czaplewski
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.