Evidence map›Paper›PMID 30416713›Full record

ArticleF1000Research2018

Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform.

Ryan A Miller, Peter Woollard, Egon L Willighagen, Daniela Digles, Martina Kutmon, Antonis Loizou, Andra Waagmeester, Stefan Senger, Chris T Evelo

Abstract read
In one paragraph

Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Ryan A MillerDepartment of Bioinformatics (BiGCaT), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0003-3477-7443
Peter WoollardGlaxoSmithKline (GSK), Stevenage, UK.ORCID 0000-0002-7654-6902
Egon L WillighagenDepartment of Bioinformatics (BiGCaT), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7542-0286
Daniela DiglesPharmacoinformatics Research Group, Department of Pharmaceutical Chemistry, University of Vienna, Vienna, Austria.
Martina KutmonDepartment of Bioinformatics (BiGCaT), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-7699-8191
Antonis LoizouBlue Sky IT, Amsterdam, The Netherlands.
Andra WaagmeesterDepartment of Bioinformatics (BiGCaT), Maastricht University, Maastricht, The Netherlands.
Stefan SengerGlaxoSmithKline (GSK), Stevenage, UK.
Chris T EveloDepartment of Bioinformatics (BiGCaT), Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-5301-3142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Open PHACTS is a pre-competitive project to answer scientific questions developed recently by the pharmaceutical industry. Having high quality biological interaction information in the Open PHACTS Discovery Platform is needed to answer multiple pathway related questions. To address this, updated WikiPathways data has been added to the platform. This data includes information about biological interactions, such as stimulation and inhibition. The platform's Application Programming Interface (API) was extended with appropriate calls to reference these interactions.  These new methods of the Open PHACTS API are available now.

Indexed as

Biomedical ResearchDrug DiscoverySignal TransductionSoftwareAntineoplastic AgentsComputational BiologyDrug IndustryHumansHypertrophyInformation Storage and RetrievalMyocytes, CardiacNeoplasmsAntineoplastic AgentsAPIbioinformaticsdrug discoveryOpen PHACTSpathway databasesemanticWikiPathways

Identifiers

PMID30416713
PMCPMC6206606

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.