Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 319

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

Estimates of Protein Surface Areas in Solution by Electrospray Ionization Mass Spectrometry

Open access
Kaltashov, Igor A., Mohimen, Anirban·2005·Analytical Chemistry

Abstract

The extent of multiple charging of protein ions in electrospray ionization (ESI) mass spectra depends on the solvent-exposed surface area, but it may also be influenced by a variety of other extrinsic and intrinsic factors. Gas-phase ion chemistry (charge-transfer and charge-partitioning reactions) appears to be the major extrinsic factor influencing the extent of protonation as detected by ESI MS. In this work, we demonstrate that under carefully controlled conditions, which limit the occurrence of the charge-transfer reactions in the gas phase, charge-state distributions of protein ions can be used to assess the solvent-exposed surface area in solution. A set of proteins ranging from 5-kDa insulin to 500-kDa ferritin shows a clear correlation between the average charge in ESI mass spectra acquired under native conditions and their surface areas calculated based on the available crystal structures. An increase of the extent of charge-transfer reactions in the ESI interface results in a noticeable decrease of the average charge of protein ions across the entire range of tested proteins, while the charge-surface correlation is maintained. On the other hand, the intrinsic factors (e.g., a limited number of basic residues) do not appear to play a significant role in determining the protein ion charge. Based on these results, it is now possible to obtain estimates of the surface areas of proteins and protein complexes, for which crystal structures are not available. We also demonstrate how the ESI MS measurements can be used to characterize protein-protein interaction in solution by providing quantitative information on the subunit interfaces formed in protein associations.

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 · 10.1021/ac050511+

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 319

Metadata

Authors
Kaltashov, I. A., & Mohimen, A.
Venue
Analytical Chemistry
Published
2005-06-30
Volume
77
Issue
16
Pages
5370-5379
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W2149789639
Cited by
319
References
1
FWCI
5.35
Type
journal article
Language
en
Open access
green

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.