Evidence map›Paper›PMID 30219839›Full record

ArticleDatabase : the journal of biological databases and curation2018

Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles.

ZiaurRehman Tanoli, Zaid Alam, Markus Vähä-Koskela, Balaguru Ravikumar, Alina Malyutina, Alok Jaiswal, Jing Tang, Krister Wennerberg, Tero Aittokallio

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  11. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
    Review
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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.

ZiaurRehman TanoliInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Zaid AlamInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Markus Vähä-KoskelaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Balaguru RavikumarInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Alina MalyutinaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Alok JaiswalInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Jing TangInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Krister WennerbergInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Tero AittokallioInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound-target interaction profiles. End users can search, upload, edit, annotate and export expert-curated bioactivity data for further analysis, using an application programmable interface, database dump or tab-delimited text download options. To guide chemical biology and drug-repurposing applications, DTC version 2.0 includes updated clinical development information for the compounds and target gene-disease associations, as well as cancer-type indications for mutant protein targets, which are critical for precision oncology developments.

Indexed as

Drug InteractionsSoftwareAlgorithmsBiological AssayDatabases, ProteinData MiningInternetMutationUser-Computer Interface

Identifiers

PMID30219839
PMCPMC6146131

What OpenQuestion holds

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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.