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Improved Side-chain Torsion Potentials for the Amber Ff99SB Protein Force Field

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Journal Proteins
Date 2010 Apr 22
PMID 20408171
Citations 2101
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Abstract

Recent advances in hardware and software have enabled increasingly long molecular dynamics (MD) simulations of biomolecules, exposing certain limitations in the accuracy of the force fields used for such simulations and spurring efforts to refine these force fields. Recent modifications to the Amber and CHARMM protein force fields, for example, have improved the backbone torsion potentials, remedying deficiencies in earlier versions. Here, we further advance simulation accuracy by improving the amino acid side-chain torsion potentials of the Amber ff99SB force field. First, we used simulations of model alpha-helical systems to identify the four residue types whose rotamer distribution differed the most from expectations based on Protein Data Bank statistics. Second, we optimized the side-chain torsion potentials of these residues to match new, high-level quantum-mechanical calculations. Finally, we used microsecond-timescale MD simulations in explicit solvent to validate the resulting force field against a large set of experimental NMR measurements that directly probe side-chain conformations. The new force field, which we have termed Amber ff99SB-ILDN, exhibits considerably better agreement with the NMR data.

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References
1.
Friesner R . Modeling Polarization in Proteins and Protein-ligand Complexes: Methods and Preliminary Results. Adv Protein Chem. 2006; 72:79-104. DOI: 10.1016/S0065-3233(05)72003-9. View

2.
Miclet E, Boisbouvier J, Bax A . Measurement of eight scalar and dipolar couplings for methine-methylene pairs in proteins and nucleic acids. J Biomol NMR. 2005; 31(3):201-16. DOI: 10.1007/s10858-005-0175-z. View

3.
MacKerell Jr A, Feig M, Brooks 3rd C . Extending the treatment of backbone energetics in protein force fields: limitations of gas-phase quantum mechanics in reproducing protein conformational distributions in molecular dynamics simulations. J Comput Chem. 2004; 25(11):1400-15. DOI: 10.1002/jcc.20065. View

4.
Perez C, Lohr F, Ruterjans H, Schmidt J . Self-consistent Karplus parametrization of 3J couplings depending on the polypeptide side-chain torsion chi1. J Am Chem Soc. 2001; 123(29):7081-93. DOI: 10.1021/ja003724j. View

5.
Lippert R, Bowers K, Dror R, Eastwood M, Gregersen B, Klepeis J . A common, avoidable source of error in molecular dynamics integrators. J Chem Phys. 2007; 126(4):046101. DOI: 10.1063/1.2431176. View