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Cited by 455

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

GCN5-Related N-Acetyltransferases: A Structural Overview

Open access
Dyda, Fred, Klein, David C., Hickman, Alison Burgess·2000·Annual Review of Biophysics and Biomolecular Structure

Abstract

Hundreds of acetyltransferases exist. All use a common acetyl donor--acetyl coenzyme A--and each exhibits remarkable specificity for acetyl acceptors, which include small molecules and proteins. Analysis of the primary sequences of these enzymes indicates that they can be sorted into several superfamilies. This review covers the three-dimensional structures of members of one of these superfamilies, now referred to in the literature as the GCN5-related N-acetyltransferases (GNAT), reflecting the importance of one functional category, the histone acetyltransferases. Despite the diversity of substrate specificities, members of the GNAT superfamily demonstrate remarkable similarity in protein topology and mode of acetyl coenzyme A binding, likely reflecting a conserved catalytic mechanism.

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Crossref · 10.1146/annurev.biophys.29.1.81

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Metadata

Authors
Dyda, F., Klein, D. C., & Hickman, A. B.
Venue
Annual Review of Biophysics and Biomolecular Structure
Published
2000-06
Volume
29
Issue
1
Pages
81-103
ISSN
  • 1056-8700 (ISSN-L)
  • 1545-4266
OpenAlex
W2111199460
Cited by
455
References
39
FWCI
3.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: GCN5-Related N-Acetyltransferases: A Structural Overview. https://app.cochat.ai/papers/10.1146/annurev.biophys.29.1.81
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Dyda, F., Klein, D. C., & Hickman, A. B. (2000). GCN5-Related N-Acetyltransferases: A Structural Overview. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.29.1.81

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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.