Literature DB >> 12557187

Comparison of a QM/MM force field and molecular mechanics force fields in simulations of alanine and glycine "dipeptides" (Ace-Ala-Nme and Ace-Gly-Nme) in water in relation to the problem of modeling the unfolded peptide backbone in solution.

Hao Hu1, Marcus Elstner, Jan Hermans.   

Abstract

We compare the conformational distributions of Ace-Ala-Nme and Ace-Gly-Nme sampled in long simulations with several molecular mechanics (MM) force fields and with a fast combined quantum mechanics/molecular mechanics (QM/MM) force field, in which the solute's intramolecular energy and forces are calculated with the self-consistent charge density functional tight binding method (SCCDFTB), and the solvent is represented by either one of the well-known SPC and TIP3P models. All MM force fields give two main states for Ace-Ala-Nme, beta and alpha separated by free energy barriers, but the ratio in which these are sampled varies by a factor of 30, from a high in favor of beta of 6 to a low of 1/5. The frequency of transitions between states is particularly low with the amber and charmm force fields, for which the distributions are noticeably narrower, and the energy barriers between states higher. The lower of the two barriers lies between alpha and beta at values of psi near 0 for all MM simulations except for charmm22. The results of the QM/MM simulations vary less with the choice of MM force field; the ratio beta/alpha varies between 1.5 and 2.2, the easy pass lies at psi near 0, and transitions between states are more frequent than for amber and charmm, but less frequent than for cedar. For Ace-Gly-Nme, all force fields locate a diffuse stable region around phi = pi and psi = pi, whereas the amber force field gives two additional densely sampled states near phi = +/-100 degrees and psi = 0, which are also found with the QM/MM force field. For both solutes, the distribution from the QM/MM simulation shows greater similarity with the distribution in high-resolution protein structures than is the case for any of the MM simulations. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12557187     DOI: 10.1002/prot.10279

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  64 in total

1.  Role of backbone solvation and electrostatics in generating preferred peptide backbone conformations: distributions of phi.

Authors:  Franc Avbelj; Robert L Baldwin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-22       Impact factor: 11.205

2.  Boltzmann-type distribution of side-chain conformation in proteins.

Authors:  Glenn L Butterfoss; Jan Hermans
Journal:  Protein Sci       Date:  2003-12       Impact factor: 6.725

3.  Revisiting the Ramachandran plot: hard-sphere repulsion, electrostatics, and H-bonding in the alpha-helix.

Authors:  Bosco K Ho; Annick Thomas; Robert Brasseur
Journal:  Protein Sci       Date:  2003-11       Impact factor: 6.725

4.  Formation of partially ordered oligomers of amyloidogenic hexapeptide (NFGAIL) in aqueous solution observed in molecular dynamics simulations.

Authors:  Chun Wu; Hongxing Lei; Yong Duan
Journal:  Biophys J       Date:  2004-08-23       Impact factor: 4.033

5.  Populations of the three major backbone conformations in 19 amino acid dipeptides.

Authors:  Joze Grdadolnik; Vlasta Mohacek-Grosev; Robert L Baldwin; Franc Avbelj
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-04       Impact factor: 11.205

6.  A novel method reveals that solvent water favors polyproline II over beta-strand conformation in peptides and unfolded proteins: conditional hydrophobic accessible surface area (CHASA).

Authors:  Patrick J Fleming; Nicholas C Fitzkee; Mihaly Mezei; Rajgopal Srinivasan; George D Rose
Journal:  Protein Sci       Date:  2004-12-02       Impact factor: 6.725

7.  Potential energy functions for atomic-level simulations of water and organic and biomolecular systems.

Authors:  William L Jorgensen; Julian Tirado-Rives
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-03       Impact factor: 11.205

8.  A test of enhancing model accuracy in high-throughput crystallography.

Authors:  W Bryan Arendall; Wolfram Tempel; Jane S Richardson; Weihong Zhou; Shuren Wang; Ian W Davis; Zhi-Jie Liu; John P Rose; W Michael Carson; Ming Luo; David C Richardson; Bi-Cheng Wang
Journal:  J Struct Funct Genomics       Date:  2005

9.  QM/MM Minimum Free Energy Path: Methodology and Application to Triosephosphate Isomerase.

Authors:  Hao Hu; Zhenyu Lu; Weitao Yang
Journal:  J Chem Theory Comput       Date:  2007-03       Impact factor: 6.006

10.  Origin of the neighboring residue effect on peptide backbone conformation.

Authors:  Franc Avbelj; Robert L Baldwin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-14       Impact factor: 11.205

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