Volume 6 Supplement 1

9th German Conference on Chemoinformatics, GCC2013

Open Access

Accessing Open PHACTS: interactive exploration of compounds and targets from the semantic web

  • Katrin Stierand1Email author,
  • Tim Harder1,
  • Lothar Wissler2,
  • Christian Lemmen2 and
  • Matthias Rarey1
Journal of Cheminformatics20146(Suppl 1):P52

https://doi.org/10.1186/1758-2946-6-S1-P52

Published: 11 March 2014

Pharmacological research is hampered by scattered data which have to be retrieved by varying methods and in different data formats. This heterogeneity increases research costs and limits throughput. Over the last two years, the Open PHACTS Discovery Platform [1] has been developed as a centralized repository, integrating pharmacological data from a variety of information resources and providing tools and services to query these integrated data in pharmacological research.

Following an application-oriented approach, the Open PHACTS project started with the definition of potential use cases in the form of prioritized research questions [2], most of which can only be answered by accessing multiple data sources in the web. The development of the platform as well as the services has been guided by these questions.

Here, we present the ChemBioNavigator (CBN) [3], a web application allowing to navigate the Open PHACTS chem-bio space with a focus on small molecules and their targets. CBN comprises of a large visualization area with different view modes and two information panels, allowing a deeper insight in information for compounds and targets. It allows interactive exploration of compound sets through sorting and subset selection as well as extending sets by substructure or similarity search. The relation between compounds and targets is defined by assay data from the Discovery Platform. Each compound and each target is annotated with information from multiple data sources which is provided together with the provenance for each data point.

In this contribution we roughly outline the OpenPHACTS/CBN technology and present a number of high-priority research questions, highlight the advantages of exploiting the integrated data through the CBN's smart and intuitive interface.

Authors’ Affiliations

(1)
Center for Bioinformatics (ZBH), University of Hamburg
(2)
BioSolveIT GmbH

References

  1. Gray AJG, Groth P, Loizou A, et al: Applying linked data approaches to pharmacology: Architectural decisions and implementation. Semantic Web. 2012Google Scholar
  2. Azzaoui K, Jacoby E, Senger S, et al: Scientific competency questions as the basis for semantically enriched open pharmacological space development. Drug Discovery Today. 2013Google Scholar
  3. Stierand K, Harder T, Marek T, et al: The Internet as Scientific Knowledge Base: Navigating the Chem-Bio Space. Mol Inf. 2012, 31: 543-546. 10.1002/minf.201200037. http://www.chembionavigator.org. Describes an early version of CBN.View ArticleGoogle Scholar

Copyright

© Stierand et al; licensee Chemistry Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement