Abstract
Computational identification of the mechanisms of drug toxicity is a very challenging problem. Little progress has been made thus far. In this work, we propose a novel framework to identify proteins involved in the chosen toxicities. Specifically, we used the proteins (bait proteins) that have been identified empirically to be involved in the toxicities to fish out additional proteins that might be strongly associated with the bait proteins in the protein-protein interaction network. We applied our method to 14 toxicities and manually validated two toxicities including bleeding disorders and urinary disorders. Literature research indicates that most of the newly identified proteins are involved in the toxicities in some degrees, and the networks identified are consistent with the known studies related to the toxicities.
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Huang, W., Zhang, L. (2008). A Framework to Understand the Mechanism of Toxicity. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_120
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DOI: https://doi.org/10.1007/978-3-540-85984-0_120
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