Evidence map›Paper›PMID 31165971›Full record

ReviewJournal of industrial microbiology & biotechnology2019

Genome mining for lasso peptides: past, present, and future.

Wai Ling Cheung-Lee, A James Link

Abstract readReview
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
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  7. Frontiers in medicine · 2026
    Article
  8. Article
  9. Article
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  12. Lasso Peptides-A New Weapon Against Superbugs.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 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.

Wai Ling Cheung-LeeDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA.
A James LinkDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, 08544, USA. ajlink@princeton.edu.ORCID http://orcid.org/0000-0001-5066-9691

Funding

Lasso Peptide DiscoveryR01GM107036 · NIGMS · PRINCETON UNIVERSITY · PI LINK, AARON JAMES · 2014 to 2022
$2.9M
NIGMS NIH HHS R01 GM107036NIH/NIGMS GM107036
6 · The paper itself

Abstract

Over the course of roughly a decade, the lasso peptide field has been transformed. Whereas new compounds were discovered infrequently via activity-driven approaches, now, the vast majority of lasso peptide discovery is driven by genome-mining approaches. This paper starts with a historical overview of the first genome-mining approaches for lasso peptide discovery, and then covers new tools that have emerged. Several examples of novel lasso peptides that have been discovered via genome mining are presented as are examples of new enzymes found associated with lasso peptide gene clusters. Finally, this paper concludes with future directions and unsolved challenges in lasso peptide genome mining.

Indexed as

GenomeHumansMultigene FamilyPeptidesPeptides

Identifiers

PMID31165971
PMCPMC6989040

What OpenQuestion holds

Textmetadata
LicenceTDM
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.