Literature DB >> 19480420

An improved functional form for the temperature scaling factors of the components of the mesoscopic UNRES force field for simulations of protein structure and dynamics.

Hujun Shen1, Adam Liwo, Harold A Scheraga.   

Abstract

Coarse-grained or mesoscopic models of proteins and the corresponding force fields are of great importance because they enable us to reduce the folding simulation time by several orders of magnitude compared to the all-atom approach and, consequently, reach the millisecond time scale of simulations. In the coarse-grained UNRES model for simulations of protein structure and dynamics, developed by our group, each amino acid residue is represented by a united side chain and a united peptide group located in the middle between the two neighboring alpha-carbon atoms, which assist only in the definition of the geometry. The prototype of the UNRES force field has been defined as a potential of mean force or restricted free-energy function corresponding to averaging out the degrees of freedom not present in the coarse-grained representation, which has further been approximated by a truncated Kubo cumulant series to enable us to derive analytical expressions for the corresponding terms. This force field should depend on temperature, and in its simplest form, a term corresponding to the cumulant of order n should be multiplied by f(n) = 1/T(n-1). The temperature dependence has been introduced in recent work ( J. Phys. Chem. B , 2007 , 111 , 260 - 285 ), and in order to prevent too steep a variation with temperature, the factors at the nth order cumulant terms were assumed to have a form f(n) = ln[exp(1) + exp(-1)]/ln{exp[(T/T(0))(n-1)] + exp[-(T/T(0))(n-1)]}, where T(0) = 300 K is the reference temperature. In this work, we have introduced a modified scaling factor f(n) = ln[exp(c) + exp(-c)]/ln{exp[c(T/T(0))(n-1)] + exp[-c(T/T(0))(n-1)]}, where c is an adjustable parameter, and determined c by fitting the analytical approximation of the temperature dependence of the virtual bond torsional term corresponding to rotation about the C(alpha)...C(alpha) virtual bond in terminally blocked dialanine to the respective potential of mean force calculated from the MP2/6-31G(d, p) ab initio energy surfaces of terminally blocked alanine (Ac-Ala-NHMe) and, independently, by optimizing it to obtain a sharp heat capacity curve and the lowest ensemble-averaged root-mean-square deviation over the C(alpha) atoms of 1GAB used as a training protein. Both approaches gave consistent results, and c = 1.4 has been selected as the optimal value of this parameter. The force field with the new temperature scaling factors has been optimized using 1GAB as the training protein. The new force field has been tested on a series of medium size alpha-helical proteins and found to perform better than that with the original temperature scaling factors.

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Year:  2009        PMID: 19480420      PMCID: PMC2766665          DOI: 10.1021/jp901788q

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


  29 in total

1.  Criterion that determines the foldability of proteins.

Authors: 
Journal:  Phys Rev Lett       Date:  1996-05-20       Impact factor: 9.161

2.  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

3.  Folding of a small helical protein using hydrogen bonds and hydrophobicity forces.

Authors:  Giorgio Favrin; Anders Irbäck; Stefan Wallin
Journal:  Proteins       Date:  2002-05-01

4.  A method for optimizing potential-energy functions by a hierarchical design of the potential-energy landscape: application to the UNRES force field.

Authors:  Adam Liwo; Piotr Arłukowicz; Cezary Czaplewski; Stanislaw Ołdziej; Jaroslaw Pillardy; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

5.  Ab initio folding of helix bundle proteins using molecular dynamics simulations.

Authors:  Soonmin Jang; Eunae Kim; Seokmin Shin; Youngshang Pak
Journal:  J Am Chem Soc       Date:  2003-12-03       Impact factor: 15.419

6.  Atomically detailed folding simulation of the B domain of staphylococcal protein A from random structures.

Authors:  Jorge A Vila; Daniel R Ripoll; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-24       Impact factor: 11.205

7.  Multiplexed-replica exchange molecular dynamics method for protein folding simulation.

Authors:  Young Min Rhee; Vijay S Pande
Journal:  Biophys J       Date:  2003-02       Impact factor: 4.033

8.  Replica Monte Carlo simulation of spin glasses.

Authors: 
Journal:  Phys Rev Lett       Date:  1986-11-24       Impact factor: 9.161

9.  Solution structure of the DFF-C domain of DFF45/ICAD. A structural basis for the regulation of apoptotic DNA fragmentation.

Authors:  Kay Fukushima; Jun Kikuchi; Seizo Koshiba; Takanori Kigawa; Yutaka Kuroda; Shigeyuki Yokoyama
Journal:  J Mol Biol       Date:  2002-08-09       Impact factor: 5.469

10.  Three-dimensional solution structure of the B domain of staphylococcal protein A: comparisons of the solution and crystal structures.

Authors:  H Gouda; H Torigoe; A Saito; M Sato; Y Arata; I Shimada
Journal:  Biochemistry       Date:  1992-10-13       Impact factor: 3.162

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  20 in total

1.  Relation between free energy landscapes of proteins and dynamics.

Authors:  Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2010-02-09       Impact factor: 6.006

2.  Simulation of the opening and closing of Hsp70 chaperones by coarse-grained molecular dynamics.

Authors:  Ewa Gołaś; Gia G Maisuradze; Patrick Senet; Stanisław Ołdziej; Cezary Czaplewski; Harold A Scheraga; Adam Liwo
Journal:  J Chem Theory Comput       Date:  2012-03-15       Impact factor: 6.006

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.  Coarse-grained force field: general folding theory.

Authors:  Adam Liwo; Yi He; Harold A Scheraga
Journal:  Phys Chem Chem Phys       Date:  2011-06-03       Impact factor: 3.676

6.  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

7.  Simple physics-based analytical formulas for the potentials of mean force of the interaction of amino-acid side chains in water. VI. Oppositely charged side chains.

Authors:  Mariusz Makowski; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2011-04-18       Impact factor: 2.991

8.  Extension of UNRES force field to treat polypeptide chains with D-amino-acid residues.

Authors:  Adam K Sieradzan; Ulrich H E Hansmann; Harold A Scheraga; Adam Liwo
Journal:  J Chem Theory Comput       Date:  2012-11-13       Impact factor: 6.006

9.  Local vs global motions in protein folding.

Authors:  Gia G Maisuradze; Adam Liwo; Patrick Senet; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

10.  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

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