Evidence map›Paper›PMID 26412281›Full record

ArticleNature communications2015

An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products.

Chad W Johnston, Michael A Skinnider, Morgan A Wyatt, Xiang Li, Michael R M Ranieri, Lian Yang, David L Zechel, Bin Ma, Nathan A Magarvey

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
13.5field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 139 citations in OpenAlex.

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  16. New variochelins from soil-isolatedBeilstein journal of organic chemistry · 2024
    Article
  17. Does regulation hold the key to optimizing lipopeptide production inFrontiers in bioengineering and biotechnology · 2024
    Review
  18. Article
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5 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

9 authors at 2 institutions in 2 countries.

Chad W JohnstonDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Michael A SkinniderDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Morgan A WyattDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Xiang LiDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Michael R M RanieriDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
Lian YangThe David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.
David L ZechelDepartment of Chemistry; Queens University, Kingston, Ontario, Canada K7L 3N6.
Bin MaThe David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1.
Nathan A MagarveyDepartment of Biochemistry &Biomedical Sciences, M. G. DeGroote Institute for Infectious Disease Research; McMaster University, Hamilton, Ontario, Canada L8N 3Z5.
University of Waterloo · CAQueens University · BD

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC-MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products.

Indexed as

Genome, BacterialBacterial ProteinsBiological ProductsComamonadaceaeDrug DiscoveryGlycosylationHigh-Throughput Screening AssaysLipopeptidesPeptidesPolyketidesSoftwareBacterial ProteinsBiological ProductsLipopeptidesPeptidesPolyketidesthanamycin

Identifiers

PMID26412281
PMCPMC4598715
OpenAlexW2253716040

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.