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Cited by 340

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.

A smooth permittivity function for Poisson–Boltzmann solvation methods

Open access
Grant, J. Andrew, Pickup, Barry T., Nicholls, Anthony·2001·Journal of Computational Chemistry

Abstract

This work introduces a continuous smooth permittivity function into Poisson–Boltzmann techniques for continuum approaches to modeling the solvation of small molecules and proteins. The permittivity function is derived using a Gaussian method to describe volume exclusion. The new method allows a rigorous determination of solvent forces within a grid‐based technology. The generality of approach is demonstrated by considering a range of applications for small molecules and macromolecules. We also present a very complete statistical analysis of grid errors, and show that the accuracy of our Gaussian‐based method is improved over standard techniques. The method has been implemented in a new code called ZAP, which is freely available to academic institutions.1 © 2001 John Wiley & Sons, Inc. J Comput Chem 22: 608–640, 2001

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Crossref · 10.1002/jcc.1032

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Metadata

Authors
Grant, J. A., Pickup, B. T., & Nicholls, A.
Venue
Journal of Computational Chemistry
Publisher
Wiley
Published
2001-03-20
Volume
22
Issue
6
Pages
608-640
ISSN
  • 0192-8651 (ISSN-L)
  • 1096-987X
OpenAlex
W1967809254
Cited by
340
References
49
FWCI
8.01
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A smooth permittivity function for Poisson–Boltzmann solvation methods. https://app.cochat.ai/papers/10.1002/jcc.1032
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Grant, J. A., Pickup, B. T., & Nicholls, A. (2001). A smooth permittivity function for Poisson–Boltzmann solvation methods. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.1032

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.