Python implementation of the restrained electrostatic potential charge model

  • Asem Alenaizan*
  • , Lori A. Burns
  • , C. David Sherrill
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

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.

Original languageEnglish
Article numbere26035
JournalInternational Journal of Quantum Chemistry
Volume120
Issue number2
DOIs
StatePublished - 15 Jan 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Wiley Periodicals, Inc.

Keywords

  • NumPy
  • RESP
  • atomic charges
  • restrained electrostatic potential

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry

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