2013
DOI: 10.1021/ct3010485
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Improved Generalized Born Solvent Model Parameters for Protein Simulations

Abstract: The generalized Born (GB) model is one of the fastest implicit solvent models and it has become widely adopted for Molecular Dynamics (MD) simulations. This speed comes with tradeoffs, and many reports in the literature have pointed out weaknesses with GB models. Because the quality of a GB model is heavily affected by empirical parameters used in calculating solvation energy, in this work we have refit these parameters for GB-Neck, a recently developed GB model, in order to improve the accuracy of both the so… Show more

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Cited by 426 publications
(632 citation statements)
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“…Finally, the linker moiety joining the peptide to the oligonucleotide was modelled in and the components of the complex assembled via xLEaP. For molecular dynamics (MD) simulations, parameters were assigned to the complex from the ff14SBonlysc [62] and GAFF force fields [63]. The complex was solvated using the generalised Born implicit solvation model (igb=5) [64] …”
Section: Molecular Modellingmentioning
confidence: 99%
“…Finally, the linker moiety joining the peptide to the oligonucleotide was modelled in and the components of the complex assembled via xLEaP. For molecular dynamics (MD) simulations, parameters were assigned to the complex from the ff14SBonlysc [62] and GAFF force fields [63]. The complex was solvated using the generalised Born implicit solvation model (igb=5) [64] …”
Section: Molecular Modellingmentioning
confidence: 99%
“…To calculate the free energy of binding, the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) method was used. The GBn formulation [35] was implemented along with newly-developed parameters [36] and mbondi3 radii. The entropic component of binding was evaluated with the normal mode approximation.…”
Section: Molecular Dynamicsmentioning
confidence: 99%
“…In case of simulations in implicit solvent, the optimized GBn implicit solvent model (ibg =8) was used together with recommended Born radii set mbondi3. 26 Infinite cutoff (cut =9,999.0) for nonbond interactions was used and temperature was controlled with Langevin thermostat. The pmemd.cuda module from Amber 14 package was used for all the above-described simulation steps.…”
Section: Simulation Detailsmentioning
confidence: 99%