Evidence map›Paper›PMID 40312596›Full record

ArticleNature chemical biology2025

A heme-dependent enzyme forms the hydrazine in the antibiotic negamycin.

Menghua Wang, Zi-Wang Wei, Katherine S Ryan

Abstract read
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Article in Nature chemical biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Menghua WangDepartment of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0003-3833-2177
Zi-Wang WeiDepartment of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada.ORCID http://orcid.org/0000-0001-9799-9938
Katherine S RyanDepartment of Chemistry, The University of British Columbia, Vancouver, British Columbia, Canada. ksryan@chem.ubc.ca.ORCID http://orcid.org/0000-0003-1643-1940

Funding

Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) ARB-196016Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada) AWD-024206Michael Smith Foundation for Health Research (MSFHR) RT-2020-0591
6 · The paper itself

Abstract

Negamycin, a hydrazine-containing dipeptide-like antibiotic, was first isolated in 1970 from three strains of Streptomyces purpeofuscus. Its pronounced antibacterial properties render it an appealing candidate for combating multi-drug-resistant Gram-negative bacteria. Additionally, the unique readthrough-promoting activity makes it a subject for research as a potential therapeutic agent for Duchenne muscular dystrophy and other hereditary diseases. Here we use the unusual (R)-β-lysine found in negamycin as a guide to identify the biosynthetic pathway of negamycin and then carry out gene deletion and chemical complementation, stable isotope feeding and enzyme assays to elucidate the key precursors for negamycin assembly. Our work identified NegB as a lysine-2,3-aminomutase that converts lysine into (R)-β-lysine and NegJ as a heme-dependent, N-N bond-forming enzyme. We show that NegJ, together with a ferredoxin encoded outside of the negamycin gene cluster, directly forms hydrazinoacetic acid from glycine and nitrite. NegJ is a novel biocatalyst for N-N bond formation, and our work highlights its potential for genome mining of N-N bond-containing natural products.

Indexed as

Anti-Bacterial AgentsDipeptidesHemeHydrazinesLysineStreptomycesAnti-Bacterial AgentsDipeptidesHemehydrazineHydrazinesLysine

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.