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

Journal of Cheminformatics, Mar 2014

Katrin Stierand, Tim Harder, Lothar Wissler, Christian Lemmen

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

Katrin Stierand 0 2 Tim Harder 0 2 Lothar Wissler 0 1 Christian Lemmen 0 1 Matthias Rarey 0 2 0 References 1. Gray AJG, Groth P, Loizou A, et al: Applying linked data approaches to pharmacology: Architectural decisions and implementation. Semantic Web 2012. 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 2013. 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 , http:// www.chembionavigator.org. Describes an early version of CBN. 1 BioSolveIT GmbH , An der Ziegelei 79, 53757 Sankt Augustin , Germany 2 Center for Bioinformatics (ZBH), University of Hamburg , Bundesstr. 43, 20146 Hamburg , Germany 2014 Stierand et al; licensee Chemistry 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. - 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 CBNs smart and intuitive interface. Publish with ChemistryCentral and every scientist can read your work free of charge Open access provides opportunities to our colleagues in other parts of the globe, by allowing anyone to view the content free of charge. W. Jeffery Hurst, The Hershey Company. available free of charge to the entire scientific community peer reviewed and published immediately upon acceptance cited in PubMed and archived on PubMed Central yours you keep the copyright Submit your manuscript here: http://www.chemistrycentral.com/manuscript/ (...truncated)


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Katrin Stierand, Tim Harder, Lothar Wissler, Christian Lemmen. Accessing Open PHACTS: interactive exploration of compounds and targets from the semantic web, Journal of Cheminformatics, 2014, pp. P52, Volume 6, Issue S1, DOI: 10.1186/1758-2946-6-S1-P52