2005
DOI: 10.1016/j.cplett.2004.11.070
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AMBER-based hybrid force field for conformational sampling of polypeptides

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Cited by 73 publications
(78 citation statements)
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“…24 The parameters included the harmonic force field and nuclear derivatives of electric dipole-electric dipole (a), electric dipole-magnetic dipole (G 0 ), and electric dipole-electric quadrupole (A) polarizability derivatives. 25 For the MD simulations the periodic boundary conditions were used by default, with the Amber99 force field, 26 1 fs integration time step and an NpT ensemble (pressure p 5 1 atm, temperature T 5 298 K). The solute MD structures were compared atom-by-atom with these precalculated geometries so that the best local overlap could be found and the spectra generated from the transferred parameters.…”
Section: Methodsmentioning
confidence: 99%
“…24 The parameters included the harmonic force field and nuclear derivatives of electric dipole-electric dipole (a), electric dipole-magnetic dipole (G 0 ), and electric dipole-electric quadrupole (A) polarizability derivatives. 25 For the MD simulations the periodic boundary conditions were used by default, with the Amber99 force field, 26 1 fs integration time step and an NpT ensemble (pressure p 5 1 atm, temperature T 5 298 K). The solute MD structures were compared atom-by-atom with these precalculated geometries so that the best local overlap could be found and the spectra generated from the transferred parameters.…”
Section: Methodsmentioning
confidence: 99%
“…Results show that a w value of 0.75 is optimal. 51 Furthermore, McMD simulations with E(0.75) revealed that a peptide with a helical propensity folds into an α-helix, whereas a peptide with a β-hairpin propensity forms a β-hairpin. 51 Therefore, we used E(0.75) for the current study.…”
Section: A Setting the Systemmentioning
confidence: 99%
“…51 Furthermore, McMD simulations with E(0.75) revealed that a peptide with a helical propensity folds into an α-helix, whereas a peptide with a β-hairpin propensity forms a β-hairpin. 51 Therefore, we used E(0.75) for the current study. We have successfully applied this force field to protein folding 22,23,25 and coupled folding and binding.…”
Section: A Setting the Systemmentioning
confidence: 99%
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“…The former results from the difficulty in determining physical parameters to calculate the potential energy. For example, the torsion energy for the protein backbone affects the secondary structure contents of the snapshots (Ikebe et al 2007;Kamiya et al 2005). Tuning of the torsionenergy parameters is still an extremely active research topic in this field (Maier et al 2015;Sakae and Okamoto 2014).…”
Section: Introductionmentioning
confidence: 99%