Publication | Closed Access
Python implementation of the restrained electrostatic potential charge model
45
Citations
21
References
2019
Year
Numerical AnalysisBiophysical ModelingElectrohydrodynamicsEngineeringComputational ChemistryComputational MechanicsMolecular DynamicsCharge ModelMolecular DesignPotential TheoryNumerical SimulationMolecular SimulationNumpy Numerical LibraryElectrical EngineeringPhysicsElectroweak InteractionElectrostatic PotentialComputational ModelingQuantum ChemistryNatural SciencesPython ImplementationComputational Biophysics
Abstract The restrained electrostatic potential (RESP) charge model is widely used in molecular dynamics simulations, especially for the AMBER and GAFF force fields. We have implemented the RESP scheme using the accessible and widely used Python language and the NumPy numerical library. This article provides a programming‐oriented introduction to the RESP scheme and highlights some of the features of NumPy that are useful in scientific computing.
| Year | Citations | |
|---|---|---|
Page 1
Page 1