Evidence map›Paper›PMID 25300487›Full record

ArticleNucleic acids research2015

Super Natural II--a database of natural products.

Priyanka Banerjee, Jevgeni Erehman, Björn-Oliver Gohlke, Thomas Wilhelm, Robert Preissner, Mathias Dunkel

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Review
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  6. Cancer chemoprevention: signaling pathways and strategic approaches.Signal transduction and targeted therapy · 2025
    Review
  7. FluoBase: a fluorinated agents database.Journal of cheminformatics · 2025
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  8. Review
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  19. Diet of Broilers with Essential Oil fromAnimals : an open access journal from MDPI · 2023
    Article
  20. Article

57 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

6 authors.

Priyanka BanerjeeStructural Bioinformatics Group, Charite-University Medicine Berlin, Institute of Physiology, Lindenberger Weg 80, 13125 Berlin, Germany Graduate School of Computational Systems Biology, Humboldt-Universität zu Berlin Invalidenstrasse 42, 10115 Berlin, Germany.
Jevgeni ErehmanStructural Bioinformatics Group, Charite-University Medicine Berlin, Institute of Physiology, Lindenberger Weg 80, 13125 Berlin, Germany.
Björn-Oliver GohlkeStructural Bioinformatics Group, Charite-University Medicine Berlin, Institute of Physiology, Lindenberger Weg 80, 13125 Berlin, Germany German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Thomas WilhelmInstitute of Food Research, Norwich Research Park, Colney, Norwich, UK.
Robert PreissnerStructural Bioinformatics Group, Charite-University Medicine Berlin, Institute of Physiology, Lindenberger Weg 80, 13125 Berlin, Germany German Cancer Consortium (DKTK), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Mathias DunkelStructural Bioinformatics Group, Charite-University Medicine Berlin, Institute of Physiology, Lindenberger Weg 80, 13125 Berlin, Germany mathias.dunkel@charite.de.

Funding

Biotechnology and Biological Sciences Research Council BB/J004529/1
6 · The paper itself

Abstract

Natural products play a significant role in drug discovery and development. Many topological pharmacophore patterns are common between natural products and commercial drugs. A better understanding of the specific physicochemical and structural features of natural products is important for corresponding drug development. Several encyclopedias of natural compounds have been composed, but the information remains scattered or not freely available. The first version of the Supernatural database containing ∼ 50,000 compounds was published in 2006 to face these challenges. Here we present a new, updated and expanded version of natural product database, Super Natural II (http://bioinformatics.charite.de/supernatural), comprising ∼ 326,000 molecules. It provides all corresponding 2D structures, the most important structural and physicochemical properties, the predicted toxicity class for ∼ 170,000 compounds and the vendor information for the vast majority of compounds. The new version allows a template-based search for similar compounds as well as a search for compound names, vendors, specific physical properties or any substructures. Super Natural II also provides information about the pathways associated with synthesis and degradation of the natural products, as well as their mechanism of action with respect to structurally similar drugs and their target proteins.

Indexed as

Databases, ChemicalBiological ProductsCluster AnalysisInternetBiological Products

Identifiers

PMID25300487
PMCPMC4384003

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.