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Cited by 542

The DOI matches its Crossref record; 250 of the 250 references it cites were found in a registry or an index.

The Aldo-Keto Reductase Superfamily and its Role in Drug Metabolism and Detoxification

Open access
Barski, Oleg A., Tipparaju, Srinivas M., Bhatnagar, Aruni·2008·Drug Metabolism Reviews

Abstract

The aldo-keto reductase (AKR) superfamily comprises enzymes that catalyze redox transformations involved in biosynthesis, intermediary metabolism, and detoxification. Substrates of AKRs include glucose, steroids, glycosylation end-products, lipid peroxidation products, and environmental pollutants. These proteins adopt a (beta/alpha)(8) barrel structural motif interrupted by a number of extraneous loops and helixes that vary between proteins and bring structural identity to individual families. The human AKR family differs from the rodent families. Due to their broad substrate specificity, AKRs play an important role in the phase II detoxification of a large number of pharmaceuticals, drugs, and xenobiotics.

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Crossref · 10.1080/03602530802431439

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Metadata

Authors
Barski, O. A., Tipparaju, S. M., & Bhatnagar, A.
Venue
Drug Metabolism Reviews
Published
2008-01
Volume
40
Issue
4
Pages
553-624
ISSN
  • 0360-2532 (ISSN-L)
  • 1097-9883
OpenAlex
W2138393164
Cited by
542
References
250
FWCI
7.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Aldo-Keto Reductase Superfamily and its Role in Drug Metabolism and Detoxification. https://app.cochat.ai/papers/10.1080/03602530802431439
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Barski, O. A., Tipparaju, S. M., & Bhatnagar, A. (2008). The Aldo-Keto Reductase Superfamily and its Role in Drug Metabolism and Detoxification. Drug Metabolism Reviews. https://doi.org/10.1080/03602530802431439

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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.