Evidence map›Paper›PMID 26318027›Full record

ArticleJournal of industrial microbiology & biotechnology2016

Genome neighborhood network reveals insights into enediyne biosynthesis and facilitates prediction and prioritization for discovery.

Jeffrey D Rudolf, Xiaohui Yan, Ben Shen

Abstract read
In one paragraph

Article in Journal of industrial microbiology & biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Advances in the Study of Halogenated Natural Products.Current topics in medicinal chemistry · 2025
    Review
  2. Primed for Discovery.Biochemistry · 2024
    Review
  3. Article
  4. Genome mining for new enediyne antibiotics.Current opinion in chemical biology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Expression ofApplied and environmental microbiology · 2023
    Article
  9. A discrete intermediate for the biosynthesis of both the enediyne core and the anthraquinone moiety of enediyne natural products.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. Multispecies Populations of MethanotrophicApplied and environmental microbiology · 2022
    Article
  12. Great diversity of KSFEMS microbes · 2022
    Article
  13. Review
  14. Article
  15. 3 Biotech · 2021
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Targeting Bacterial Genomes for Natural Product Discovery.Trends in pharmacological sciences · 2020
    Review
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.

Jeffrey D RudolfDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33458, USA.
Xiaohui YanDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33458, USA.
Ben ShenDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33458, USA. shenb@scripps.edu.

Funding

Enediyne Biosynthesis and EngineeringR01CA078747 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI SHEN, BEN · 1999 to 2015
$3.4M
Genome Mining for Enediyne Natural Products from ActinomycetalsR01GM115575 · NIGMS · SCRIPPS FLORIDA · PI SHEN, BEN · 2016 to 2019
$1.9M
NCI NIH HHS CA78747NCI NIH HHS R01 CA078747NIGMS NIH HHS R01 GM115575
6 · The paper itself

Abstract

The enediynes are one of the most fascinating families of bacterial natural products given their unprecedented molecular architecture and extraordinary cytotoxicity. Enediynes are rare with only 11 structurally characterized members and four additional members isolated in their cycloaromatized form. Recent advances in DNA sequencing have resulted in an explosion of microbial genomes. A virtual survey of the GenBank and JGI genome databases revealed 87 enediyne biosynthetic gene clusters from 78 bacteria strains, implying that enediynes are more common than previously thought. Here we report the construction and analysis of an enediyne genome neighborhood network (GNN) as a high-throughput approach to analyze secondary metabolite gene clusters. Analysis of the enediyne GNN facilitated rapid gene cluster annotation, revealed genetic trends in enediyne biosynthetic gene clusters resulting in a simple prediction scheme to determine 9- versus 10-membered enediyne gene clusters, and supported a genomic-based strain prioritization method for enediyne discovery.

Indexed as

Drug DiscoveryGenomicsBacteriaBiological ProductsBiosynthetic PathwaysEnediynesGenome, BacterialMolecular Sequence AnnotationMultigene FamilyPolyketide SynthasesSecondary MetabolismBiological ProductsEnediynesPolyketide SynthasesBiosynthetic gene clusterEnediyne polyketide synthaseGenome miningGenome neighborhood networkNatural products

Identifiers

PMID26318027
PMCPMC4753101

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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.