Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 280

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Energetics of charge–charge interactions in proteins

Gilson, Michael K., Honig, Barry H.·1988·Proteins: Structure, Function, and Bioinformatics

Abstract

Electrostatic interactions between pairs of atoms in proteins are calculated with a model based on the linearized Poisson‐Boltzmann equation. The equation is solved accurately by a method that takes into account the detailed shape of the protein. This paper presents applications to several systems. Experimental data for the interaction of ionized residues with an active site histidine in subtilisin BPN' allow the model to be tested, using various assumptions for the electrical properties of the protein and solvent. The electrostatic stabilization of the active site thiolate or rhodanese is analyzed, with attention to the influence of α‐helices. Finally, relationships between electrostatic potential and charge‐charge distance are reported for large and small globular proteins. The above results are compared with those of simpler electrostatic models, including Coulomb's law with both a distance‐dependent dielectric constant (ϵ = R) and a fixed dielectric constant (ϵ = 2), and Tanford‐Kirkwood theory. The primary conclusions are as follows: (1) The Poisson‐Boltzmann model agrees with the subtilisin data over a range of ionic strengths; (2) two α‐helices generate a large potential in the active site of rhodanese; (3) ϵ = R overestimates weak electrostatic interactions but yields relatively good results for strong ones; (4) Tanford‐Kirkwood theory is a useful approximation to detailed solutions of the linearized Poisson‐Boltzmann equation in globular proteins; and (5) the modified Tanford‐Kirkwood theory overscreens the measured electrostatic interactions in subtilisin.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/prot.340030104

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 280

Metadata

Authors
Gilson, M. K., & Honig, B. H.
Venue
Proteins: Structure, Function, and Bioinformatics
Publisher
Wiley
Published
1988-01
Volume
3
Issue
1
Pages
32-52
ISSN
  • 0887-3585 (ISSN-L)
  • 1097-0134
OpenAlex
W2053649896
Cited by
280
References
1
FWCI
6.35
Type
journal article
Language
en
Open access
closed

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

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.