Literature DB >> 16852727

Molecular dynamics with the united-residue model of polypeptide chains. I. Lagrange equations of motion and tests of numerical stability in the microcanonical mode.

Mey Khalili1, Adam Liwo, Franciszek Rakowski, Paweł Grochowski, Harold A Scheraga.   

Abstract

The Lagrange formalism was implemented to derive the equations of motion for the physics-based united-residue (UNRES) force field developed in our laboratory. The C(alpha)...C(alpha) and C(alpha)...SC (SC denoting a side-chain center) virtual-bond vectors were chosen as variables. The velocity Verlet algorithm was adopted to integrate the equations of motion. Tests on the unblocked Ala(10) polypeptide showed that the algorithm is stable in short periods of time up to the time step of 1.467 fs; however, even with the shorter time step of 0.489 fs, some drift of the total energy occurs because of momentary jumps of the acceleration. These jumps are caused by numerical instability of the forces arising from the U(rot) component of UNRES that describes the energetics of side-chain-rotameric states. Test runs on the Gly(10) sequence (in which U(rot) is not present) and on the Ala(10) sequence with U(rot) replaced by a simple numerically stable harmonic potential confirmed this observation; oscillations of the total energy were observed only up to the time step of 7.335 fs, and some drift in the total energy or instability of the trajectories started to appear in long-time (2 ns and longer) trajectories only for the time step of 9.78 fs. These results demonstrate that the present U(rot) components (which are statistical potentials derived from the Protein Data Bank) must be replaced with more numerically stable functions; this work is under way in our laboratory. For the purpose of our present work, a nonsymplectic variable-time-step algorithm was introduced to reduce the energy drift for regular polypeptide sequences. The algorithm scales down the time step at a given point of a trajectory if the maximum change of acceleration exceeds a selected cutoff value. With this algorithm, the total energy is reasonably conserved up to a time step of 2.445 fs, as tested on the unblocked Ala(10) polypeptide. We also tried a symplectic multiple-time-step reversible RESPA algorithm and achieved satisfactory energy conservation for time steps up to 7.335 fs. However, at present, it appears that the reversible RESPA algorithm is several times more expensive than the variable-time-step algorithm because of the necessity to perform additional matrix multiplications. We also observed that, because Ala(10) folds and unfolds within picoseconds in the microcanonical mode, this suggests that the effective (event-based) time unit in UNRES dynamics is much larger than that of all-atom dynamics because of averaging over the fast-moving degrees of freedom in deriving the UNRES potential.

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Year:  2005        PMID: 16852727      PMCID: PMC2563158          DOI: 10.1021/jp058008o

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  34 in total

1.  Calculation of protein conformation by global optimization of a potential energy function.

Authors:  J Lee; A Liwo; D R Ripoll; J Pillardy; H A Scheraga
Journal:  Proteins       Date:  1999

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

Review 3.  Generalized born models of macromolecular solvation effects.

Authors:  D Bashford; D A Case
Journal:  Annu Rev Phys Chem       Date:  2000       Impact factor: 12.703

4.  Folding funnels: the key to robust protein structure prediction.

Authors:  Corey Hardin; Michael P Eastwood; Michael Prentiss; Z Luthey-Schulten; Peter G Wolynes
Journal:  J Comput Chem       Date:  2002-01-15       Impact factor: 3.376

5.  Optimizing physical energy functions for protein folding.

Authors:  Yoshimi Fujitsuka; Shoji Takada; Zaida A Luthey-Schulten; Peter G Wolynes
Journal:  Proteins       Date:  2004-01-01

6.  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

7.  An atomically detailed study of the folding pathways of protein A with the stochastic difference equation.

Authors:  Avijit Ghosh; Ron Elber; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-24       Impact factor: 11.205

8.  Self-consistently optimized energy functions for protein structure prediction by molecular dynamics.

Authors:  K K Koretke; Z Luthey-Schulten; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  1998-03-17       Impact factor: 11.205

9.  Monte Carlo simulations of protein folding. I. Lattice model and interaction scheme.

Authors:  A Kolinski; J Skolnick
Journal:  Proteins       Date:  1994-04

10.  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

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  52 in total

1.  Preventing fibril formation of a protein by selective mutation.

Authors:  Gia G Maisuradze; Jordi Medina; Khatuna Kachlishvili; Pawel Krupa; Magdalena A Mozolewska; Pau Martin-Malpartida; Luka Maisuradze; Maria J Macias; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

2.  Molecular dynamics with the united-residue model of polypeptide chains. II. Langevin and Berendsen-bath dynamics and tests on model alpha-helical systems.

Authors:  Mey Khalili; Adam Liwo; Anna Jagielska; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2005-07-21       Impact factor: 2.991

3.  Molecular dynamics with the United-residue force field: ab initio folding simulations of multichain proteins.

Authors:  Ana V Rojas; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

4.  Modification and optimization of the united-residue (UNRES) potential energy function for canonical simulations. I. Temperature dependence of the effective energy function and tests of the optimization method with single training proteins.

Authors:  Adam Liwo; Mey Khalili; Cezary Czaplewski; Sebastian Kalinowski; Staniłsaw Ołdziej; Katarzyna Wachucik; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-01-11       Impact factor: 2.991

5.  Implementations of Nosé-Hoover and Nosé-Poincaré thermostats in mesoscopic dynamic simulations with the united-residue model of a polypeptide chain.

Authors:  Dana S Kleinerman; Cezary Czaplewski; Adam Liwo; Harold A Scheraga
Journal:  J Chem Phys       Date:  2008-06-28       Impact factor: 3.488

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

Authors:  Yi He; 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
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

7.  Kinks, loops, and protein folding, with protein A as an example.

Authors:  Andrey Krokhotin; Adam Liwo; Gia G Maisuradze; Antti J Niemi; Harold A Scheraga
Journal:  J Chem Phys       Date:  2014-01-14       Impact factor: 3.488

8.  Principal component analysis for protein folding dynamics.

Authors:  Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Mol Biol       Date:  2008-10-15       Impact factor: 5.469

9.  Determination of side-chain-rotamer and side-chain and backbone virtual-bond-stretching potentials of mean force from AM1 energy surfaces of terminally-blocked amino-acid residues, for coarse-grained simulations of protein structure and folding. II. Results, comparison with statistical potentials, and implementation in the UNRES force field.

Authors:  Urszula Kozłowska; Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2010-04-30       Impact factor: 3.376

10.  Implementation of a Serial Replica Exchange Method in a Physics-Based United-Residue (UNRES) Force Field.

Authors:  Hujun Shen; Cezary Czaplewski; Adam Liwo; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2008-08-01       Impact factor: 6.006

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