Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning

teness of the knowledge bases, our approach also obtains facts through automated extraction from Medline abstracts. An essential component of our approach is to apply logical reasoning to the acquired facts based on the biological knowledge about pathways. By representing such biological knowledge, the reasoning component is capable of assigning ordering to the acquired facts and interactions that is necessary for pathway synthesis. We demonstrate the feasibility of our approach with the development of a system that synthesizes pharmacokinetic pathways. We evaluate our approach by reconstructing the existing pharmacokinetic pathways available in PharmGKB. Our results show that not only that our approach is capable of synthesizing these pathways but also uncovering information that is not available in the manually annotated pathways.

• Type: Journal
• Year: 2010
• Where: PSB
• Authors: Luis Tari, Saadat Anwar, Shanshan Liang, Jörg Hakenberg, Chitta Baral
• Keywords: Applied Computing, Biological Knowledge, Logical Reasoning, Pharmacokinetic Pathways, PSB 2010