Evidence map›Paper›PMID 28277838›Full record

ReviewExpert opinion on drug discovery2017

Using natural products for drug discovery: the impact of the genomics era.

Mingzi M Zhang, Yuan Qiao, Ee Lui Ang, Huimin Zhao

Abstract readReview
In one paragraph

Review in Expert opinion on drug discovery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Total Synthesis FacilitatesJournal of the American Chemical Society · 2024
    Article
  8. Article
  9. Genomic Analysis ofAntibiotics (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Aqueous Extract ofPlants (Basel, Switzerland) · 2022
    Article
  15. Bioinspired Total Synthesis of Pyritide A2 through Pyridine Ring Synthesis.Angewandte Chemie (International ed. in English) · 2022
    Article
  16. Article
  17. Article
  18. Article
  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

4 authors.

Mingzi M Zhanga Metabolic Engineering Research Laboratory , Science and Engineering Institutes, Agency for Science, Technology and Research (A*STAR) , Singapore , Singapore.
Yuan Qiaoa Metabolic Engineering Research Laboratory , Science and Engineering Institutes, Agency for Science, Technology and Research (A*STAR) , Singapore , Singapore.
Ee Lui Anga Metabolic Engineering Research Laboratory , Science and Engineering Institutes, Agency for Science, Technology and Research (A*STAR) , Singapore , Singapore.
Huimin Zhaoa Metabolic Engineering Research Laboratory , Science and Engineering Institutes, Agency for Science, Technology and Research (A*STAR) , Singapore , Singapore.

Funding

Structural Elucidation and Biosynthesis P01GM077596 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI METCALF, WILLIAM W · 2007 to 2016
$15.3M
NIGMS NIH HHS P01 GM077596
6 · The paper itself

Abstract

introductionEvolutionarily selected over billions of years for their interactions with biomolecules, natural products have been and continue to be a major source of pharmaceuticals. In the 1990s, pharmaceutical companies scaled down their natural product discovery programs in favor of synthetic chemical libraries due to major challenges such as high rediscovery rates, challenging isolation, and low production titers. Propelled by advances in DNA sequencing and synthetic biology technologies, insights into microbial secondary metabolism provided have inspired a number of strategies to address these challenges. Areas covered: This review highlights the importance of genomics and metagenomics in natural product discovery, and provides an overview of the technical and conceptual advances that offer unprecedented access to molecules encoded by biosynthetic gene clusters. Expert opinion: Genomics and metagenomics revealed nature's remarkable biosynthetic potential and her vast chemical inventory that we can now prioritize and systematically mine for novel chemical scaffolds with desirable bioactivities. Coupled with synthetic biology and genome engineering technologies, significant progress has been made in identifying and predicting the chemical output of biosynthetic gene clusters, as well as in optimizing cluster expression in native and heterologous host systems for the production of pharmaceutically relevant metabolites and their derivatives.

Indexed as

Biological ProductsDrug DiscoveryDrug IndustryGenomicsHumansMetagenomicsMultigene FamilySecondary MetabolismSequence Analysis, DNASmall Molecule LibrariesBiological ProductsSmall Molecule Librariesbioinformaticsbiosynthetic gene clustersGenome miningmetagenomicssecondary metabolites

Identifiers

PMID28277838
PMCPMC5563975

What OpenQuestion holds

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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.