WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications
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Date
2010
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Chemistry Central
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Abstract
Background: In recent years, there has been a huge increase in the amount of publicly-available and proprietary
information pertinent to drug discovery. However, there is a distinct lack of data mining tools available to harness
this information, and in particular for knowledge discovery across multiple information sources. At Indiana
University we have an ongoing project with Eli Lilly to develop web-service based tools for integrative mining of
chemical and biological information. In this paper, we report on the first of these tools, called WENDI (Web Engine
for Non-obvious Drug Information) that attempts to find non-obvious relationships between a query compound
and scholarly publications, biological properties, genes and diseases using multiple information sources.
Results: We have created an aggregate web service that takes a query compound as input, calls multiple web
services for computation and database search, and returns an XML file that aggregates this information. We have
also developed a client application that provides an easy-to-use interface to this web service. Both the service and
client are publicly available.
Conclusions: Initial testing indicates this tool is useful in identifying potential biological applications of compounds
that are not obvious, and in identifying corroborating and conflicting information from multiple sources. We
encourage feedback on the tool to help us refine it further. We are now developing further tools based on this
model.
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Zhu, Q., Lajiness, M. S., Ding, Y., & Wild, D. J. (2010). WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications. Journal of Cheminformatics, 2(1). http://dx.doi.org/10.1186/1758-2946-2-6
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© 2010 Zhu et al; licensee 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.
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Article