The ChEMBL database as linked open data

2013128 citationsJournal Articlegold Open Access

Authors

Egon Willighagen · Maastricht University

Andra Waagmeester · Maastricht University

Ola Spjuth · Uppsala University

Peter Ansell · University of Queensland

Antony Williams

Valery Tkachenko

Janna Hastings · European Bioinformatics Institute

Bin Chen ·

Abstract

We have illustrated the advantages of using open standards and ontologies to link the ChEMBL database to other databases. Using those links and the knowledge encoded in standards and ontologies, the ChEMBL-RDF resource creates a foundation for integrated semantic web cheminformatics applications, such as the presented decision support.

Topics & Keywords

Biomedical Text Mining and Ontologies Semantic Web and Ontologies Bioinformatics and Genomic Networks

Publication Details

Published in: Journal of Cheminformatics

Volume 5, Issue 1, pp. 23-23

DOI: 10.1186/1758-2946-5-23

Field-Weighted Citation Impact: 6.73

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The ChEMBL database as linked open data

Authors

Abstract

Topics & Keywords

Publication Details