Evidence map›Paper›PMID 29112695›Full record

ArticleBriefings in bioinformatics2019

Recent development of antiSMASH and other computational approaches to mine secondary metabolite biosynthetic gene clusters.

Kai Blin, Hyun Uk Kim, Marnix H Medema, Tilmann Weber

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
12.0field-weighted citation impact, top 1% of its field
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

98 citing papers in PubMed, 200 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The antiSMASH database version 5.Nucleic acids research · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genomic and Metabolomic Analysis of the Endophytic FungusAntibiotics (Basel, Switzerland) · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Kai Blin
Hyun Uk Kim
Marnix H Medema
Tilmann Weber
Novo Nordisk Foundation · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many drugs are derived from small molecules produced by microorganisms and plants, so-called natural products. Natural products have diverse chemical structures, but the biosynthetic pathways producing those compounds are often organized as biosynthetic gene clusters (BGCs) and follow a highly conserved biosynthetic logic. This allows for the identification of core biosynthetic enzymes using genome mining strategies that are based on the sequence similarity of the involved enzymes/genes. However, mining for a variety of BGCs quickly approaches a complexity level where manual analyses are no longer possible and require the use of automated genome mining pipelines, such as the antiSMASH software. In this review, we discuss the principles underlying the predictions of antiSMASH and other tools and provide practical advice for their application. Furthermore, we discuss important caveats such as rule-based BGC detection, sequence and annotation quality and cluster boundary prediction, which all have to be considered while planning for, performing and analyzing the results of genome mining studies.

Indexed as

Multigene FamilySoftwareBiological ProductsBiosynthetic PathwaysComputational BiologyDatabases, GeneticData MiningGenome, MicrobialGenome, PlantInternetModels, BiologicalBiological ProductsantibioticsantiSMASHbiosynthetic gene clustergenome miningnatural productssecondary metabolites

Identifiers

PMID29112695
PMCPMC6781578
OpenAlexW2765371419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.