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Purdue Ontology for Pharmaceutical Engineering: Part II. Applications

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Abstract

The multiple steps in pharmaceutical product development generate a large amount of diverse information in various formats, which hinders efficient decision-making. A major component of the solution is a common information model for the domain. Ontologies were found to meet this need as described in Part I of this two-part paper. In Part II, we describe two applications of Purdue Ontology for Pharmaceutical Engineering. The first application deals with the prediction of degradation reactions through incorporation of molecular structure and environmental information captured in the ontologies. The second application is one that analyzes experiments to identify differences in experimental implementation.

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Acknowledgements

The work was done through the financial support of the Engineering Research Center for Structured Organic Particulate Systems, the Indiana 21st Century Fund, and Eli Lilly and Company. The authors thanks Balachandra Krishnamurthy, Gintaras Reklaitis, Kenneth Morris, Chunhua Zhao, Girish Joglekar, Shuo-Huan Hsu, Pradeep Suresh, Pavan Akkisetty, Prabir Basu, Henry Havel, Brian Good, Gus Hartauer, Steven Baertschi, Ahmad Almaya, Aktham Aburub, and David Long for their support.

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Authors and Affiliations

  1. The Dow Chemical Company, Midland, MI, 48674, USA

    Leaelaf Hailemariam

  2. Laboratory for Intelligent Process Systems, School of Chemical Engineering, Purdue University, West Lafayette, IN, 47907, USA

    Venkat Venkatasubramanian

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  1. Leaelaf Hailemariam
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  2. Venkat Venkatasubramanian
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Correspondence to Venkat Venkatasubramanian.

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Hailemariam, L., Venkatasubramanian, V. Purdue Ontology for Pharmaceutical Engineering: Part II. Applications. J Pharm Innov 5, 139–146 (2010). https://doi.org/10.1007/s12247-010-9091-1

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