Evidence map›Paper›PMID 29062930›Full record

ReviewSynthetic and systems biotechnology2016

The secondary metabolite bioinformatics portal: Computational tools to facilitate synthetic biology of secondary metabolite production.

Tilmann Weber, Hyun Uk Kim

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Review
  2. Article
  3. The antiSMASH database version 5.Nucleic acids research · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Diosgenin producingComputational and structural biotechnology journal · 2025
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

23 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.

Tilmann WeberThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Alle 6, 2970 Hørsholm, Denmark.
Hyun Uk KimThe Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Alle 6, 2970 Hørsholm, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products are among the most important sources of lead molecules for drug discovery. With the development of affordable whole-genome sequencing technologies and other 'omics tools, the field of natural products research is currently undergoing a shift in paradigms. While, for decades, mainly analytical and chemical methods gave access to this group of compounds, nowadays genomics-based methods offer complementary approaches to find, identify and characterize such molecules. This paradigm shift also resulted in a high demand for computational tools to assist researchers in their daily work. In this context, this review gives a summary of tools and databases that currently are available to mine, identify and characterize natural product biosynthesis pathways and their producers based on 'omics data. A web portal called Secondary Metabolite Bioinformatics Portal (SMBP at http://www.secondarymetabolites.org) is introduced to provide a one-stop catalog and links to these bioinformatics resources. In addition, an outlook is presented how the existing tools and those to be developed will influence synthetic biology approaches in the natural products field.

Indexed as

A, adenylation domainAntibioticsBGC, biosynthetic gene clusterBioinformaticsBiosynthesisC, condensation domainGPR, gene-protein-reactionHMM, hidden Markov modelLC, liquid chromatographyMS, mass spectrometryNatural productNMR, nuclear magnetic resonanceNRP, non-ribosomally synthesized peptideNRPSNRPS, non-ribosomal peptide synthetasePCP, peptidyl carrier proteinPK, polyketidePKSPKS, polyketide synthaseRiPP, ribosomally and post-translationally modified peptideSVM, support vector machine

Identifiers

PMID29062930
PMCPMC5640684

What OpenQuestion holds

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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.