Evidence map›Paper›PMID 29276046›Full record

ArticleCell chemical biology2018

Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions.

Jing Tang, Zia-Ur-Rehman Tanoli, Balaguru Ravikumar, Zaid Alam, Anni Rebane, Markus Vähä-Koskela, Gopal Peddinti, Arjan J van Adrichem, Janica Wakkinen, Alok Jaiswal and 16 more

Open access · hybridAbstract read
In one paragraph

Article in Cell chemical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
10.4field-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

72 citing papers in PubMed, 1 synthesis or guideline pooled it, 167 citations in OpenAlex.

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12 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

26 authors at 5 institutions in 3 countries.

Jing TangInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; Department of Mathematics and Statistics, University of Turku, 20014 Turku, Finland. Electronic address: jing.tang@helsinki.fi.
Zia-Ur-Rehman TanoliInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Balaguru RavikumarInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Zaid AlamInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Anni RebaneInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Markus Vähä-KoskelaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Gopal PeddintiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Arjan J van AdrichemInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Janica WakkinenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Alok JaiswalInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Ella KarjalainenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Prson GautamInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Liye HeInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Elina ParriInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Suleiman KhanInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Abhishekh GuptaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Mehreen AliInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Laxman YetukuriInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Anna-Lena GustavssonChemical Biology Consortium Sweden, Karolinska Institutet, 17165 Stockholm, Sweden.
Brinton Seashore-LudlowChemical Biology Consortium Sweden, Karolinska Institutet, 17165 Stockholm, Sweden.
Anne HerseyEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK.
Andrew R LeachEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK.
John P OveringtonEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton CB10 1SD, UK; Medicines Discovery Catapult, Mereside, Alderley Park, Alderley Edge, Cheshire SK10 4TG, UK.
Gretchen RepaskyInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland.
Krister WennerbergInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland. Electronic address: krister.wennerberg@helsinki.fi.
Tero AittokallioInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; Department of Mathematics and Statistics, University of Turku, 20014 Turku, Finland. Electronic address: tero.aittokallio@helsinki.fi.
University of Helsinki · FIInstitute for Molecular Medicine Finland · FIEuropean Bioinformatics Institute · GBKarolinska Institutet · SEUniversity of Turku · FI

Funding

Wellcome Trust WT086151/Z/08/ZWellcome Trust WT104104/Z/14/Z
6 · The paper itself

Abstract

Knowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity data resources are often incomparable due to non-standardized and heterogeneous assay types and variability in endpoint measurements. To extract higher value from the existing and future compound target-profiling data, we implemented an open-data web platform, named Drug Target Commons (DTC), which features tools for crowd-sourced compound-target bioactivity data annotation, standardization, curation, and intra-resource integration. We demonstrate the unique value of DTC with several examples related to both drug discovery and drug repurposing applications and invite researchers to join this community effort to increase the reuse and extension of compound bioactivity data.

Indexed as

ConsensusKnowledge BasesDrug DiscoveryDrug InteractionsDrug RepositioningHumansPharmaceutical PreparationsPharmaceutical Preparationsbioassay annotationchemical biologycheminformaticscommunity effortcrowd sourcingdata curationdrug discoverydrug repositioningdrug repurposingopen data

Identifiers

PMID29276046
PMCPMC5814751
OpenAlexW2777884179

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.