Evidence map›Paper›PMID 24174214›Full record

ReviewJournal of industrial microbiology & biotechnology2014

Bioinformatics tools for genome mining of polyketide and non-ribosomal peptides.

Christopher N Boddy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Review ofInfection and drug resistance · 2022
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Genetic Relationships in the Toxin-Producing Fungal Endophyte,Journal of fungi (Basel, Switzerland) · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Multi-omics Comparative Analysis ofFrontiers in microbiology · 2020
    Article
  15. The Discovery of New Antilisterial Proteins FromFrontiers in microbiology · 2020
    Article
  16. Journal of natural products · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. 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

1 author.

Christopher N BoddyDepartments of Chemistry and Biology, Center for Advanced Research in Environmental Genomics, University of Ottawa, Ottawa, ON, K1N 6N5, Canada, cboddy@uottawa.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial natural products have played a key role in the development of clinical agents in nearly all therapeutic areas. Recent advances in genome sequencing have revealed that there is an incredible wealth of new polyketide and non-ribosomal peptide natural product diversity to be mined from genetic data. The diversity and complexity of polyketide and non-ribosomal peptide biosynthesis has required the development of unique bioinformatics tools to identify, annotate, and predict the structures of these natural products from their biosynthetic gene clusters. This review highlights and evaluates web-based bioinformatics tools currently available to the natural product community for genome mining to discover new polyketides and non-ribosomal peptides.

Indexed as

Genome, BacterialPeptide Biosynthesis, Nucleic Acid-IndependentBiological ProductsBiosynthetic PathwaysGenomicsHumansPeptidesPolyketidesBiological ProductsPeptidesPolyketides

Identifiers

What OpenQuestion holds

Textmetadata
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.