Literature DB >> 25691834

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

Adam K Sieradzan1, Paweł Krupa, Harold A Scheraga, Adam Liwo, Cezary Czaplewski.   

Abstract

The UNited RESidue (UNRES) model of polypeptide chains is a coarse-grained model in which each amino-acid residue is reduced to two interaction sites, namely, a united peptide group (p) located halfway between the two neighboring α-carbon atoms (Cαs), which serve only as geometrical points, and a united side chain (SC) attached to the respective Cα. Owing to this simplification, millisecond molecular dynamics simulations of large systems can be performed. While UNRES predicts overall folds well, it reproduces the details of local chain conformation with lower accuracy. Recently, we implemented new knowledge-based torsional potentials (Krupa et al. J. Chem. Theory Comput. 2013, 9, 4620–4632) that depend on the virtual-bond dihedral angles involving side chains: Cα···Cα···Cα···SC (τ(1)), SC···Cα···Cα···Cα (τ(2)), and SC···Cα···Cα···SC (τ(3)) in the UNRES force field. These potentials resulted in significant improvement of the simulated structures, especially in the loop regions. In this work, we introduce the physics-based counterparts of these potentials, which we derived from the all-atom energy surfaces of terminally blocked amino-acid residues by Boltzmann integration over the angles λ(1) and λ(2) for rotation about the Cα···Cα virtual-bond angles and over the side-chain angles χ. The energy surfaces were, in turn, calculated by using the semiempirical AM1 method of molecular quantum mechanics. Entropy contribution was evaluated with use of the harmonic approximation from Hessian matrices. One-dimensional Fourier series in the respective virtual-bond-dihedral angles were fitted to the calculated potentials, and these expressions have been implemented in the UNRES force field. Basic calibration of the UNRES force field with the new potentials was carried out with eight training proteins, by selecting the optimal weight of the new energy terms and reducing the weight of the regular torsional terms. The force field was subsequently benchmarked with a set of 22 proteins not used in the calibration. The new potentials result in a decrease of the root-mean-square deviation of the average conformation from the respective experimental structure by 0.86 Å on average; however, improvement of up to 5 Å was observed for some proteins.

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Year:  2015        PMID: 25691834      PMCID: PMC4327884          DOI: 10.1021/ct500736a

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  61 in total

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2.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

Review 3.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

4.  Solution structure of the albumin-binding GA module: a versatile bacterial protein domain.

Authors:  M U Johansson; M de Château; M Wikström; S Forsén; T Drakenberg; L Björck
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Authors:  Johnny Wu; Xia Zhen; Hujun Shen; Guohui Li; Pengyu Ren
Journal:  J Chem Phys       Date:  2011-10-21       Impact factor: 3.488

6.  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

7.  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

8.  Dynamic Formation and Breaking of Disulfide Bonds in Molecular Dynamics Simulations with the UNRES Force Field.

Authors:  M Chinchio; C Czaplewski; A Liwo; S Ołdziej; H A Scheraga
Journal:  J Chem Theory Comput       Date:  2007-07       Impact factor: 6.006

9.  Folding and self-assembly of a small protein complex.

Authors:  Adam K Sieradzan; Adam Liwo; Ulrich H E Hansmann
Journal:  J Chem Theory Comput       Date:  2012-09-11       Impact factor: 6.006

10.  Exploring the parameter space of the coarse-grained UNRES force field by random search: selecting a transferable medium-resolution force field.

Authors:  Yi He; Yi Xiao; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2009-10       Impact factor: 3.376

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  13 in total

1.  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

2.  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

3.  Protein structure model refinement in CASP12 using short and long molecular dynamics simulations in implicit solvent.

Authors:  Genki Terashi; Daisuke Kihara
Journal:  Proteins       Date:  2017-09-01

4.  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

5.  Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field.

Authors:  Ana V Rojas; Gia G Maisuradze; Harold A Scheraga; Adam Liwo
Journal:  Methods Mol Biol       Date:  2022

6.  Modeling the Structure, Dynamics, and Transformations of Proteins with the UNRES Force Field.

Authors:  Adam K Sieradzan; Cezary Czaplewski; Paweł Krupa; Magdalena A Mozolewska; Agnieszka S Karczyńska; Agnieszka G Lipska; Emilia A Lubecka; Ewa Gołaś; Tomasz Wirecki; Mariusz Makowski; Stanisław Ołdziej; Adam Liwo
Journal:  Methods Mol Biol       Date:  2022

7.  A new protein nucleic-acid coarse-grained force field based on the UNRES and NARES-2P force fields.

Authors:  Adam K Sieradzan; Artur Giełdoń; Yanping Yin; Yi He; Harold A Scheraga; Adam Liwo
Journal:  J Comput Chem       Date:  2018-10-11       Impact factor: 3.376

8.  Unfavorable regions in the ramachandran plot: Is it really steric hindrance? The interacting quantum atoms perspective.

Authors:  Peter I Maxwell; Paul L A Popelier
Journal:  J Comput Chem       Date:  2017-08-25       Impact factor: 3.376

9.  Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics.

Authors:  John M Jumper; Nabil F Faruk; Karl F Freed; Tobin R Sosnick
Journal:  PLoS Comput Biol       Date:  2018-12-27       Impact factor: 4.475

10.  UNRES server for physics-based coarse-grained simulations and prediction of protein structure, dynamics and thermodynamics.

Authors:  Cezary Czaplewski; Agnieszka Karczynska; Adam K Sieradzan; Adam Liwo
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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