Evidence map›Paper›PMID 25522365›Full record

ArticlePloS one2014

The application of the open pharmacological concepts triple store (open PHACTS) to support drug discovery research.

Joseline Ratnam, Barbara Zdrazil, Daniela Digles, Emiliano Cuadrado-Rodriguez, Jean-Marc Neefs, Hannah Tipney, Ronald Siebes, Andra Waagmeester, Glyn Bradley, Chau Han Chau and 8 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Structured reviews for data and knowledge-driven research.Database : the journal of biological databases and curation · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Computational chemistry at Janssen.Journal of computer-aided molecular design · 2017
    Article
  8. Empowering pharmacoinformatics by linked life science data.Journal of computer-aided molecular design · 2017
    Article
  9. Article
  10. Article
  11. Article
  12. 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

18 authors.

Joseline RatnamUniversidade de Santiago de Compostela, Grupo BioFarma-USEF, Departamento de Farmacología, Campus Universitario Sur s/n, 15782 Santiago de Compostela, Spain.
Barbara ZdrazilUniversity of Vienna, Department of Pharmaceutical Chemistry, Althanstrasse 14, 1090 Vienna, Austria.
Daniela DiglesUniversity of Vienna, Department of Pharmaceutical Chemistry, Althanstrasse 14, 1090 Vienna, Austria.
Emiliano Cuadrado-RodriguezUniversidade de Santiago de Compostela, Grupo BioFarma-USEF, Departamento de Farmacología, Campus Universitario Sur s/n, 15782 Santiago de Compostela, Spain.
Jean-Marc NeefsJanssen Research & Development, Turnhoutseweg 30, Beerse, Belgium.
Hannah TipneyGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, United Kingdom.
Ronald SiebesVrije Universiteit, Faculty of Sciences, division of Math. and Computer Science, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands.
Andra WaagmeesterDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.
Glyn BradleyGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, United Kingdom.
Chau Han ChauGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, United Kingdom.
Lars RichterUniversity of Vienna, Department of Pharmaceutical Chemistry, Althanstrasse 14, 1090 Vienna, Austria.
Jose BreaUniversidade de Santiago de Compostela, Grupo BioFarma-USEF, Departamento de Farmacología, Campus Universitario Sur s/n, 15782 Santiago de Compostela, Spain.
Chris T EveloDepartment of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.
Edgar JacobyJanssen Research & Development, Turnhoutseweg 30, Beerse, Belgium.
Stefan SengerGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, United Kingdom.
Maria Isabel LozaUniversidade de Santiago de Compostela, Grupo BioFarma-USEF, Departamento de Farmacología, Campus Universitario Sur s/n, 15782 Santiago de Compostela, Spain.
Gerhard F EckerUniversity of Vienna, Department of Pharmaceutical Chemistry, Althanstrasse 14, 1090 Vienna, Austria.
Christine ChichesterSwiss Institute of Bioinformatics, CALIPHO Group, CMU - Rue Michel-Servet 1, 1211 Geneva 4, Switzerland.

Funding

Austrian Science Fund FWF F 3502
6 · The paper itself

Abstract

Integration of open access, curated, high-quality information from multiple disciplines in the Life and Biomedical Sciences provides a holistic understanding of the domain. Additionally, the effective linking of diverse data sources can unearth hidden relationships and guide potential research strategies. However, given the lack of consistency between descriptors and identifiers used in different resources and the absence of a simple mechanism to link them, gathering and combining relevant, comprehensive information from diverse databases remains a challenge. The Open Pharmacological Concepts Triple Store (Open PHACTS) is an Innovative Medicines Initiative project that uses semantic web technology approaches to enable scientists to easily access and process data from multiple sources to solve real-world drug discovery problems. The project draws together sources of publicly-available pharmacological, physicochemical and biomolecular data, represents it in a stable infrastructure and provides well-defined information exploration and retrieval methods. Here, we highlight the utility of this platform in conjunction with workflow tools to solve pharmacological research questions that require interoperability between target, compound, and pathway data. Use cases presented herein cover 1) the comprehensive identification of chemical matter for a dopamine receptor drug discovery program 2) the identification of compounds active against all targets in the Epidermal growth factor receptor (ErbB) signaling pathway that have a relevance to disease and 3) the evaluation of established targets in the Vitamin D metabolism pathway to aid novel Vitamin D analogue design. The example workflows presented illustrate how the Open PHACTS Discovery Platform can be used to exploit existing knowledge and generate new hypotheses in the process of drug discovery.

Indexed as

Databases as TopicSoftwareDrug Discovery

Identifiers

PMID25522365
PMCPMC4270790

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.