Evidence map›Paper›PMID 34279640›Full record

ReviewJournal of industrial microbiology & biotechnology2021

Genome mining for drug discovery: progress at the front end.

Richard H Baltz

Abstract readReview
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  9. Decontamination of DNA sequences from a Streptomyces genome for optimal genome mining.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
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  12. Review
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  19. Identification of the lipodepsipeptide selethramide encoded in a giant nonribosomal peptide synthetase from aProceedings of the National Academy of Sciences of the United States of America · 2023
    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.

Richard H BaltzCognoGen Biotechnology Consulting, 7757 Uliva Way, Sarasota, FL 34238, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial genome mining for drug discovery and development has been accelerating in recent years, driven by technical advancements in genome sequencing, bioinformatics, metabolomics/metabologenomics, and synthetic biology. Microbial genome mining is a multistep process that starts with the sequencing of microbes that encode multiple secondary metabolites and identifying new and novel secondary metabolite biosynthetic gene clusters (BGCs) to pursue. The initial steps in the process are critical for the overall success, and they encompass the most innovative new technologies to revitalize natural product discovery. As microbial genome mining has matured in recent years, unvalidated conjectures about what microbes to pursue, how to identify legitimate secondary metabolite BGCs, and how to sequence DNA to satisfactory levels of completion have been identified. The solutions to correct the misconceptions around these topics are beginning to be implemented.

Indexed as

Biological ProductsDrug DiscoveryGenome, BacterialComputational BiologyMultigene FamilyBiological ProductsActinobacteriaActinomyceteCombinatorial biosynthesisGenome miningMyxobacteriaNonribosomal peptide synthetasePolyketide synthaseStreptomyces, Synthetic biology

Identifiers

PMID34279640
PMCPMC8788784

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.