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Cited by 404

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Metabolic Enzymes of Mycobacteria Linked to Antioxidant Defense by a Thioredoxin-Like Protein

Bryk, R., Lima, C. D., Erdjument-Bromage, H., Tempst, P., Nathan, C.·2002·Science

Abstract

Mycobacterium tuberculosis (Mtb) mounts a stubborn defense against oxidative and nitrosative components of the immune response. Dihydrolipoamide dehydrogenase (Lpd) and dihydrolipoamide succinyltransferase (SucB) are components of α-ketoacid dehydrogenase complexes that are central to intermediary metabolism. We find that Lpd and SucB support Mtb's antioxidant defense. The peroxiredoxin alkyl hydroperoxide reductase (AhpC) is linked to Lpd and SucB by an adaptor protein, AhpD. The 2.0 angstrom AhpD crystal structure reveals a thioredoxin-like active site that is responsive to lipoamide. We propose that Lpd, SucB (the only lipoyl protein detected in Mtb), AhpD, and AhpC together constitute a nicotinamide adenine dinucleotide (reduced)–dependent peroxidase and peroxynitrite reductase. AhpD thus represents a class of thioredoxin-like molecules that enables an antioxidant defense.

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Metadata

Authors
Bryk, R., Lima, C. D., Erdjument-Bromage, H., Tempst, P., & Nathan, C.
Venue
Science
Published
2002-02-08
Volume
295
Issue
5557
Pages
1073-1077
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1979955102
Cited by
404
References
3
FWCI
7.56
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Metabolic Enzymes of Mycobacteria Linked to Antioxidant Defense by a Thioredoxin-Like Protein. https://app.cochat.ai/papers/10.1126/science.1067798
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Bryk, R., Lima, C. D., Erdjument-Bromage, H., Tempst, P., & Nathan, C. (2002). Metabolic Enzymes of Mycobacteria Linked to Antioxidant Defense by a Thioredoxin-Like Protein. Science. https://doi.org/10.1126/science.1067798

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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.