Evidence map›Paper›PMID 32728407›Full record

ReviewComputational and structural biotechnology journal2020

Genome mining strategies for ribosomally synthesised and post-translationally modified peptides.

Alicia H Russell, Andrew W Truman

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
9.5field-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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Repositioning the Leader Peptide in Graspetide Biosynthesis.Journal of the American Chemical Society · 2026
    Article
  7. Leaderless RiPPs expand the repertoire of fungal secondary metabolites.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  9. Review
  10. Review
  11. Inhibition ofMicroorganisms · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Indolylamide Macrocyclization by aOrganic letters · 2025
    Article
  17. Review
  18. Review
  19. Review
  20. Review

11 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

2 authors at 1 institution in 1 country.

Alicia H RussellDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, UK.
Andrew W TrumanDepartment of Molecular Microbiology, John Innes Centre, Norwich NR4 7UH, UK.
John Innes Centre · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/J/000PR9790
6 · The paper itself

Abstract

Genome mining is a computational method for the automatic detection and annotation of biosynthetic gene clusters (BGCs) from genomic data. This approach has been increasingly utilised in natural product (NP) discovery due to the large amount of sequencing data that is now available. Ribosomally synthesised and post-translationally modified peptides (RiPPs) are a class of structurally complex NP with diverse bioactivities. RiPPs have recently been shown to occupy a much larger expanse of genomic and chemical space than previously appreciated, indicating that annotation of RiPP BGCs in genomes may have been overlooked in the past. This review provides an overview of the genome mining tools that have been specifically developed to aid in the discovery of RiPP BGCs, which have been built from an increasing knowledgebase of RiPP structures and biosynthesis. Given these recent advances, the application of targeted genome mining has great potential to accelerate the discovery of important molecules such as antimicrobial and anticancer agents whilst increasing our understanding about how these compounds are biosynthesised in nature.

Indexed as

AntibioticBGC, biosynthetic gene clusterBioinformaticsBiosynthesisDNN, deep neural networkGenome miningHMM, hidden Markov modelMS, mass spectrometryNatural productNP, natural productORF, open reading framePTM, post-translational modificationRiPPRiPP, Ribosomally synthesised and post-translationally modified peptideRTE, RiPP tailoring enzyme

Identifiers

PMID32728407
PMCPMC7369419
OpenAlexW3037051861

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.