Evidence map›Paper›PMID 24792161›Full record

ArticleNucleic acids research2014

SwissTargetPrediction: a web server for target prediction of bioactive small molecules.

David Gfeller, Aurélien Grosdidier, Matthias Wirth, Antoine Daina, Olivier Michielin, Vincent Zoete

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 719 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
719citing papers in PubMed, 1 pooled it
23.9field-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

719 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,704 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Antibiotics (Basel, Switzerland) · 2026
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  14. Review
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  18. Polyporusterone E, a Key Component ofInternational journal of molecular sciences · 2026
    Article
  19. NewLife (Basel, Switzerland) · 2026
    Article
  20. Fucoidan-Mediated Biogenic Gold Nanoparticles fromPharmaceuticals (Basel, Switzerland) · 2026
    Article

659 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 at 2 institutions in 1 country.

David GfellerSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland.
Aurélien GrosdidierSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland.
Matthias WirthSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland.
Antoine DainaSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland.
Olivier MichielinSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland Ludwig Institute for Cancer Research, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland Oncology Department, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland Olivier.Michielin@isb-sib.ch.
Vincent ZoeteSwiss Institute of Bioinformatics (SIB), Quartier Sorge, Bâtiment Génopode, CH-1015 Lausanne, Switzerland Olivier.Michielin@isb-sib.ch.
SIB Swiss Institute of Bioinformatics · CHLudwig Cancer Research · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioactive small molecules, such as drugs or metabolites, bind to proteins or other macro-molecular targets to modulate their activity, which in turn results in the observed phenotypic effects. For this reason, mapping the targets of bioactive small molecules is a key step toward unraveling the molecular mechanisms underlying their bioactivity and predicting potential side effects or cross-reactivity. Recently, large datasets of protein-small molecule interactions have become available, providing a unique source of information for the development of knowledge-based approaches to computationally identify new targets for uncharacterized molecules or secondary targets for known molecules. Here, we introduce SwissTargetPrediction, a web server to accurately predict the targets of bioactive molecules based on a combination of 2D and 3D similarity measures with known ligands. Predictions can be carried out in five different organisms, and mapping predictions by homology within and between different species is enabled for close paralogs and orthologs. SwissTargetPrediction is accessible free of charge and without login requirement at http://www.swisstargetprediction.ch.

Indexed as

Drug DiscoverySoftwareAlgorithmsAnimalsCattleHumansInternetLigandsMicePharmaceutical PreparationsProteinsRatsSequence Homology, Amino AcidUser-Computer InterfaceLigandsPharmaceutical PreparationsProteins

Identifiers

PMID24792161
PMCPMC4086140
OpenAlexW2168938595

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.