Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 190

The DOI matches its Crossref record.

Hydrogen Exchange-Mass Spectrometry

Open access
Wang, Lintao, Pan, Hai, Smith, David L.·2002·Molecular & Cellular Proteomics

Abstract

The direct linkage between folded structures of proteins and their function has increased the need for high resolution structures. In addition, there is a need for analytical methods for detecting and locating changes in the folded structures of proteins under a wide variety of conditions. The rates at which hydrogens located at peptide amide linkages undergo isotopic exchange has become the basis for an important method for detecting such structural changes. When detected by mass spectrometry, hydrogen exchange can be used to study dilute solutions of large proteins and protein complexes with very high sensitivity. To locate structural changes, labeled proteins are often digested with acid proteases to form peptides whose hydrogen/deuterium levels are determined by mass spectrometry. This approach is successful only when the protein can be digested rapidly under conditions where isotope exchange is slow. This study describes how columns packed with immobilized pepsin can be used to reduce the digestion time and to provide an effective means for separating the pepsin from the isotopically labeled fragments. These columns are part of an on-line system that facilitates both rapid digestion of low concentrations of protein and concentration of the peptides.

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 · 10.1074/mcp.m100009-mcp200

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.

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

Cited by

See all 190

Metadata

Authors
Wang, L., Pan, H., & Smith, D. L.
Venue
Molecular & Cellular Proteomics
Publisher
Elsevier BV
Published
2002-02
Volume
1
Issue
2
Pages
132-138
ISSN
1535-9476 (ISSN-L)
OpenAlex
W2148417867
Cited by
190
References
0
FWCI
3.14
Type
journal article
Language
en
Open access
hybrid

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: Hydrogen Exchange-Mass Spectrometry. https://app.cochat.ai/papers/10.1074/mcp.m100009-mcp200
The paper
Wang, L., Pan, H., & Smith, D. L. (2002). Hydrogen Exchange-Mass Spectrometry. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m100009-mcp200

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.