Evidence map›Paper›PMID 21388575›Full record

ArticleJournal of biomedical semantics2011

Linking the Resource Description Framework to cheminformatics and proteochemometrics.

Egon L Willighagen, Jonathan Alvarsson, Annsofie Andersson, Martin Eklund, Samuel Lampa, Maris Lapins, Ola Spjuth, Jarl Es Wikberg

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Many InChIs and quite some feat.Journal of computer-aided molecular design · 2015
    Article
  5. Article
  6. Cheminformatics and the Semantic Web: adding value with linked data and enhanced provenance.Wiley interdisciplinary reviews. Computational molecular science · 2013
    Article
  7. The ChEMBL database as linked open data.Journal of cheminformatics · 2013
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Biomedical semantics in the Semantic Web.Journal of biomedical semantics · 2011
    Article
  14. Article
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

8 authors.

Egon L WillighagenUppsala University, Department of Pharmaceutical Biosciences, Box 591, SE-751 24 Uppsala, Sweden. egon.willighagen@farmbio.uu.se.
Jonathan Alvarsson
Annsofie Andersson
Martin Eklund
Samuel Lampa
Maris Lapins
Ola Spjuth
Jarl Es Wikberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSemantic web technologies are finding their way into the life sciences. Ontologies and semantic markup have already been used for more than a decade in molecular sciences, but have not found widespread use yet. The semantic web technology Resource Description Framework (RDF) and related methods show to be sufficiently versatile to change that situation.

resultsThe work presented here focuses on linking RDF approaches to existing molecular chemometrics fields, including cheminformatics, QSAR modeling and proteochemometrics. Applications are presented that link RDF technologies to methods from statistics and cheminformatics, including data aggregation, visualization, chemical identification, and property prediction. They demonstrate how this can be done using various existing RDF standards and cheminformatics libraries. For example, we show how IC50 and Ki values are modeled for a number of biological targets using data from the ChEMBL database.

conclusionsWe have shown that existing RDF standards can suitably be integrated into existing molecular chemometrics methods. Platforms that unite these technologies, like Bioclipse, makes this even simpler and more transparent. Being able to create and share workflows that integrate data aggregation and analysis (visual and statistical) is beneficial to interoperability and reproducibility. The current work shows that RDF approaches are sufficiently powerful to support molecular chemometrics workflows.

Identifiers

PMID21388575
PMCPMC3105498

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.