Literature DB >> 16526746

A new force field (ECEPP-05) for peptides, proteins, and organic molecules.

Yelena A Arnautova1, Anna Jagielska, Harold A Scheraga.   

Abstract

Parametrization and testing of a new all-atom force field for organic molecules and peptides with fixed bond lengths and bond angles are described. The van der Waals parameters for both the organic molecules and the peptides were taken from J. Phys. Chem. B 2003, 107, 7143 and J. Phys. Chem. B 2004, 108, 12181. First, the values of the 1-4 nonbonded and electrostatic scale factors appropriate to the new force field were determined by computing the conformational energies of six model molecules, namely, ethanol, ethylamine, propanol, propylamine, 1,2-ethanediol, and 1,3-propanediol with different values of these factors. The partial atomic charges of these molecules were obtained by fitting to the electrostatic potentials calculated with the HF/6-31G quantum-mechanical method. Two different charge models (single- and multiple-conformation-derived) were also considered. We demonstrated that the charge model has a stronger effect on the conformational energies than the 1-4 scaling. The choice of a charge model affected the conformational energies of even the smallest molecules considered, whereas the effect of the 1-4 electrostatic or nonbonded scaling was apparent only for 1,3-propanediol. The best agreement with high-level ab initio data was obtained with the multiple-conformation-derived charges and with no scaling of the 1-4 nonbonded or electrostatic interactions (scale factors of 1.0). Next, the torsional parameters of a large number of neutral and charged organic molecules, assumed to be models of the side chains of the 20 naturally occurring amino acids, were computed by fitting to rotational energy profiles obtained from ab initio MP2/6-31G calculations. The quality of the fits was high with average errors for torsional profiles of less than 0.2 kcal/mol. To derive the torsional parameters for the peptide backbone, the partial atomic charges of the 20 neutral and charged amino acids were obtained by fitting to the electrostatic potentials of terminally blocked amino acids using the HF/6-31G quantum-mechanical method. Then, the phi-psi energy maps of Ac-Ala-NMe and Ac-Gly-NMe were computed using MP2/6-31G//HF/6-31G quantum-mechanical methods. The phi-psi energy map of Ac-Ala-NMe was used for refinement of the nonbonded parameters for the backbone nitrogen and hydrogen bonded to it. Subsequently, the main-chain torsional parameters were obtained by fitting the molecular mechanics energies to the phi-psi energy maps of Ac-Ala-NMe and Ac-Gly-NMe. The transferability of the entire force field was demonstrated by reproducing the main energy minima of terminally blocked Ala3 from the literature. The performance of the force field was also evaluated by simulating crystal structures of small peptides. By comparison of simulated and experimental data, examination of the torsional-angle and atom-positional root-mean-square deviations of the energy-minimized crystal structures from the corresponding X-ray model structures demonstrated high accuracy of the force field.

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Year:  2006        PMID: 16526746     DOI: 10.1021/jp054994x

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


  25 in total

1.  A Kirkwood-Buff force field for the aromatic amino acids.

Authors:  Elizabeth A Ploetz; Paul E Smith
Journal:  Phys Chem Chem Phys       Date:  2011-09-19       Impact factor: 3.676

2.  GOAP: a generalized orientation-dependent, all-atom statistical potential for protein structure prediction.

Authors:  Hongyi Zhou; Jeffrey Skolnick
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

3.  Further evidence for the absence of polyproline II stretch in the XAO peptide.

Authors:  Joanna Makowska; Sylwia Rodziewicz-Motowidlo; Katarzyna Baginska; Mariusz Makowski; Jorge A Vila; Adam Liwo; Lech Chmurzynski; Harold A Scheraga
Journal:  Biophys J       Date:  2007-02-02       Impact factor: 4.033

4.  Development of a physics-based force field for the scoring and refinement of protein models.

Authors:  Liliana Wroblewska; Anna Jagielska; Jeffrey Skolnick
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

5.  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

6.  Use of decoys to optimize an all-atom force field including hydration.

Authors:  Yelena A Arnautova; Harold A Scheraga
Journal:  Biophys J       Date:  2008-05-23       Impact factor: 4.033

7.  Selecting high quality protein structures from diverse conformational ensembles.

Authors:  Ashwin Subramani; Peter A DiMaggio; Christodoulos A Floudas
Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

8.  Quantum-mechanics-derived 13Calpha chemical shift server (CheShift) for protein structure validation.

Authors:  Jorge A Vila; Yelena A Arnautova; Osvaldo A Martin; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-08       Impact factor: 11.205

9.  OPUS-SSF: A side-chain-inclusive scoring function for ranking protein structural models.

Authors:  Gang Xu; Tianqi Ma; Qinghua Wang; Jianpeng Ma
Journal:  Protein Sci       Date:  2019-04-11       Impact factor: 6.725

Review 10.  Biomolecular force fields: where have we been, where are we now, where do we need to go and how do we get there?

Authors:  Pnina Dauber-Osguthorpe; A T Hagler
Journal:  J Comput Aided Mol Des       Date:  2018-11-30       Impact factor: 3.686

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