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Cited by 532

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Molecular clocks

Open access
Robinson, Noah E., Robinson, Arthur B.·2001·Proceedings of the National Academy of Sciences

Abstract

A convenient and precise mass spectrometric method for measurement of the deamidation rates of glutaminyl and asparaginyl residues in peptides and proteins has been developed; the rates of deamidation of 306 asparaginyl sequences in model peptides at pH 7.4, 37.0°C, 0.15 M Tris⋅HCl buffer have been determined; a library of 913 amide-containing peptides for use by other investigators in similar studies has been established; and, by means of simultaneous deamidation rate measurements of rabbit muscle aldolase and appropriate model peptides in the same solutions, the use of this method for quantitative measurement of the relative effects of primary, secondary, tertiary, and quaternary protein structure on deamidation rates has been demonstrated. The measured rates are discussed with respect to the hypothesis that glutaminyl and asparaginyl residues serve, through deamidation, as molecular timers of biological events.

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Crossref · 10.1073/pnas.98.3.944

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Metadata

Authors
Robinson, N. E., & Robinson, A. B.
Venue
Proceedings of the National Academy of Sciences
Published
2001-01-30
Volume
98
Issue
3
Pages
944-949
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2578242640
Cited by
532
References
17
FWCI
8.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Molecular clocks. https://app.cochat.ai/papers/10.1073/pnas.98.3.944
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Robinson, N. E., & Robinson, A. B. (2001). Molecular clocks. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.98.3.944

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.