jp973084f_si_001.pdf (1.82 MB)
Download fileAll-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins †
journal contribution
posted on 2020-07-27, 17:38 authored by A. D. MacKerell, D. Bashford, M. Bellott, R. L. Dunbrack, J. D. Evanseck, M. J. Field, S. Fischer, J. Gao, H. Guo, S. Ha, D. Joseph-McCarthy, L. Kuchnir, K. Kuczera, F. T. K. Lau, C. Mattos, S. Michnick, T. Ngo, D. T. Nguyen, B. Prodhom, W. E. Reiher, B. Roux, M. Schlenkrich, J. C. Smith, R. Stote, J. Straub, M. Watanabe, J. Wiórkiewicz-Kuczera, D. Yin, M. KarplusNew protein parameters are reported for
the all-atom
empirical energy function in the CHARMM program.
The parameter evaluation was based on a self-consistent approach
designed to achieve a balance between the
internal (bonding) and interaction (nonbonding) terms of the force
field and among the solvent−solvent,
solvent−solute, and solute−solute interactions. Optimization
of the internal parameters used experimental
gas-phase geometries, vibrational spectra, and torsional energy
surfaces supplemented with ab initio results.
The peptide backbone bonding parameters were optimized with
respect to data for N-methylacetamide and
the alanine dipeptide. The interaction parameters, particularly
the atomic charges, were determined by fitting
ab initio interaction energies and geometries of complexes between
water and model compounds that represented
the backbone and the various side chains. In addition, dipole
moments, experimental heats and free energies
of vaporization, solvation and sublimation, molecular volumes, and
crystal pressures and structures were
used in the optimization. The resulting protein parameters were
tested by applying them to noncyclic tripeptide
crystals, cyclic peptide crystals, and the proteins crambin, bovine
pancreatic trypsin inhibitor, and carbonmonoxy
myoglobin in vacuo and in crystals. A detailed analysis of the
relationship between the alanine dipeptide
potential energy surface and calculated protein φ, χ angles
was
made and used in optimizing the peptide
group torsional parameters. The results demonstrate that use of ab
initio structural and energetic data by
themselves are not sufficient to obtain an adequate backbone
representation for peptides and proteins in solution
and in crystals. Extensive comparisons between molecular dynamics
simulations and experimental data for
polypeptides and proteins were performed for both structural and
dynamic properties. Energy minimization
and dynamics simulations for crystals demonstrate that the latter
are
needed to obtain meaningful comparisons
with experimental crystal structures. The presented parameters, in
combination with the previously published
CHARMM all-atom parameters for nucleic acids and lipids, provide a
consistent set for condensed-phase
simulations of a wide variety of molecules of biological
interest.