Evidence map›Paper›PMID 35994737›Full record

ReviewAnalytical chemistry2022

Integrated Metabolomic-Genomic Workflows Accelerate Microbial Natural Product Discovery.

Nicole E Avalon, Alison E Murray, Bill J Baker

Open access · bronzeAbstract readReview
In one paragraph

Review in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Role ofJournal of microbiology and biotechnology · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Bacterial natural product discovery by heterologous expression.Journal of industrial microbiology & biotechnology · 2023
    Review
  19. Review
  20. Article
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 at 2 institutions in 1 country.

Nicole E AvalonDepartment of Chemistry, University of South Florida, Tampa, Florida 33620, United States.ORCID 0000-0003-3588-892X
Alison E MurrayDivision of Earth and Ecosystem Sciences, Desert Research Institute, Reno, Nevada 89512, United States.
Bill J BakerDepartment of Chemistry, University of South Florida, Tampa, Florida 33620, United States.ORCID 0000-0003-3033-5779
University of South Florida · USDesert Research Institute · US

Funding

Deciphering the metagenome-encoded pathway and domain structure for Palmerolide biosynthesisR21CA205932 · NCI · DESERT RESEARCH INSTITUTE · PI BAKER, BILL J, CHAIN, PATRICK S. G. · 2018 to 2019
$427k
NCI NIH HHS R21 CA205932
6 · The paper itself

Abstract

The pairing of analytical chemistry with genomic techniques represents a new wave in natural product chemistry. With an increase in the availability of sequencing and assembly of microbial genomes, interrogation into the biosynthetic capability of producers with valuable secondary metabolites is possible. However, without the development of robust, accessible, and medium to high throughput tools, the bottleneck in pairing metabolic potential and compound isolation will continue. Several innovative approaches have proven useful in the nascent stages of microbial genome-informed drug discovery. Here, we consider a number of these approaches which have led to prioritization of strain targets and have mitigated rediscovery rates. Likewise, we discuss integration of principles of comparative evolutionary studies and retrobiosynthetic predictions to better understand biosynthetic mechanistic details and link genome sequence to structure. Lastly, we discuss advances in engineering, chemistry, and molecular networking and other computational approaches that are accelerating progress in the field of omic-informed natural product drug discovery. Together, these strategies enhance the synergy between cutting edge omics, chemical characterization, and computational technologies that pitch the discovery of natural products with pharmaceutical and other potential applications to the crest of the wave where progress is ripe for rapid advances.

Indexed as

Biological ProductsDrug DiscoveryGenomicsMetabolomicsWorkflowBiological Products

Identifiers

PMID35994737
PMCPMC9453739
OpenAlexW4292668615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.