Abstract
Earlier we showed that in the molecular dynamics simulation of a rigid model of water it is necessary to use an integration time-step δt ≤ 0.5 fs to ensure equipartition between translational and rotational modes. Here we extend that study in the NVT ensemble to NpT conditions and to an aqueous protein. We study neat liquid water with the rigid, SPC/E model and the protein BBA (PDB ID: 1FME) solvated in the rigid, TIP3P model. We examine integration time-steps ranging from 0.5 fs to 4.0 fs for various thermostat plus barostat combinations. We find that a small δt is necessary to ensure consistent prediction of the simulation volume. Hydrogen mass repartitioning alleviates the problem somewhat, but is ineffective for the typical time-step used with this approach. The compressibility, a measure of volume fluctuations, and the dielectric constant, a measure of dipole moment fluctuations, are also seen to be sensitive to δt. Using the mean volume estimated from the NpT simulation, we examine the electrostatic and van der Waals contribution to the hydration free energy of the protein in the NVT ensemble. These contributions are also sensitive to δt. In going from δt = 2 fs to δt = 0.5 fs, the change in the net electrostatic plus van der Waals contribution to the hydration of BBA is already in excess of the folding free energy reported for this protein.
Original language | English |
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Pages (from-to) | 7503-7512 |
Number of pages | 10 |
Journal | Chemical Science |
Volume | 16 |
Issue number | 17 |
DOIs | |
State | Published - Mar 28 2025 |
Funding
We thank Margaret Whitt (NGSI Intern at ORNL) for exploratory studies on protein BBA. We thank Jindal Shah for helpful pointers on Monte Carlo simulations with the Cassandra code. We thank Thiago Pinheiro dos Santos for numerous helpful discussions. We thank David Rogers for a critical reading of the manuscript and helpful comments. This research used resources of the Oak Ridge Leadership Computing Facility an Advanced Scientific Computing Research (ASCR) facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.