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CHARMM36 all-atom additive protein force field: Validation based on comparison to NMR data

Journal of Computational Chemistry · 2013 · Vol. 34(25) · pp. 2135–2145
Jing HuangAlexander D. MacKerell

Abstract

Protein structure and dynamics can be characterized on the atomistic level with both nuclear magnetic resonance (NMR) experiments and molecular dynamics (MD) simulations. Here, we quantify the ability of the recently presented CHARMM36 (C36) force field (FF) to reproduce various NMR observables using MD simulations. The studied NMR properties include backbone scalar couplings across hydrogen bonds, residual dipolar couplings (RDCs) and relaxation order parameter, as well as scalar couplings, RDCs, and order parameters for side-chain amino- and methyl-containing groups. It is shown that the C36 FF leads to better correlation with experimental data compared to the CHARMM22/CMAP FF and suggest using C36 in protein simulations. Although both CHARMM FFs contains the same nonbond parameters, our results show how the changes in the internal parameters associated with the peptide backbone via CMAP and the χ1 and χ2 dihedral parameters leads to improved treatment of the analyzed nonbond interactions. This highlights the importance of proper treatment of the internal covalent components in modeling nonbond interactions with molecular mechanics FFs.

Protein Structure and DynamicsAdvanced NMR Techniques and ApplicationsEnzyme Structure and FunctionDihedral angleMolecular dynamicsForce field (fiction)ChemistryScalar (mathematics)Residual dipolar couplingDipoleHydrogen bondComputational chemistrySide chain

MeSH terms

Chemistry Techniques, AnalyticalMagnetic Resonance SpectroscopyProtein ConformationProteinsMolecular Dynamics Simulation

Funding

  • National Science Foundation
Citations
4,321
FWCI
20.33
field-weighted impact
References
72
Percentile
100%
vs. same field & year
Citations per year
References
CHARMM‐GUI: A web‐based graphical user interface for CHARMM
Journal of Computational Chemistry · 2008 · 9,266 citations
All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
The Journal of Physical Chemistry B · 1998 · 14,418 citations
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