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 accessAbstract
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
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
MacKerell, A. D., Bashford, D., Bellott, M., Dunbrack, R. L., Evanseck, J. D., Field, M. J., Fischer, S., Gao, J., Guo, H., Ha, S., et al. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp973084f · Cited by 14,311
The protein data bank: A computer-based archival file for macromolecular structures
Bernstein, F. C., Koetzle, T. F., Williams, G. J. B., Meyer, E. F., Brice, M. D., Rodgers, J. R., Kennard, O., Shimanouchi, T., & Tasumi, M. (1977) · Journal of Molecular Biology · doi:10.1016/s0022-2836(77)80200-3 · Cited by 8,578
The interpretation of protein structures: Estimation of static accessibility
Lee, B., & Richards, F. M. (1971) · Journal of Molecular Biology · doi:10.1016/0022-2836(71)90324-x · Cited by 5,850
Electric Moments of Molecules in Liquids
Onsager, L. (1936) · Journal of the American Chemical Society · doi:10.1021/ja01299a050 · Cited by 5,329
Nicholls, A., Sharp, K. A., & Honig, B. (1991) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340110407 · Cited by 5,240
Self-citationSemianalytical treatment of solvation for molecular mechanics and dynamics
Still, W. C., Tempczyk, A., Hawley, R. C., & Hendrickson, T. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00172a038 · Cited by 3,643
AREAS, VOLUMES, PACKING, AND PROTEIN STRUCTURE
Richards, F. M. (1977) · Annual Review of Biophysics and Bioengineering · doi:10.1146/annurev.bb.06.060177.001055 · Cited by 2,661
Spline Functions: Basic Theory.
Smith, P. W., & Schumaker, L. (1982) · Mathematics of Computation · doi:10.2307/2007301 · Cited by 2,463
Discovering High-Affinity Ligands for Proteins: SAR by NMR
Shuker, S. B., Hajduk, P. J., Meadows, R. P., & Fesik, S. W. (1996) · Science · doi:10.1126/science.274.5292.1531 · Cited by 2,041
Methods of Molecular Quantum Mechanics
McWeeny, R., Sutcliffe, B. T., & Brink, G. O. (1971) · Physics Today · doi:10.1063/1.3022743 · Cited by 1,616
Cited by
Huang, S.-Y., Grinter, S. Z., & Zou, X. (2010) · Physical Chemistry Chemical Physics · doi:10.1039/c0cp00151a · Cited by 508
Validation and Use of the MM-PBSA Approach for Drug Discovery
Kuhn, B., Gerber, P., Schulz-Gasch, T., & Stahl, M. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm049081q · Cited by 462
Novel generalized Born methods
Lee, M. S., Salsbury, F. R., & Brooks, C. L. (2002) · The Journal of Chemical Physics · doi:10.1063/1.1480013 · Cited by 441
Binding MOAD (Mother Of All Databases)
Hu, L., Benson, M. L., Smith, R. D., Lerner, M. G., & Carlson, H. A. (2005) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20512 · Cited by 328
Rapid Context-Dependent Ligand Desolvation in Molecular Docking
Mysinger, M. M., & Shoichet, B. K. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100214a · Cited by 317
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A smooth permittivity function for Poisson–Boltzmann solvation methods. https://app.cochat.ai/papers/10.1002/jcc.1032
- The paper
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.