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Peter V. Henstock has been serving as the site statistician and data miner at the Pfizer Research Technology Center in Cambridge, Massachusetts since 2001. In this capacity, he collaborates closely with the Systems Biology group, the Molecular Informatics group (computational biology and computational chemistry), as well as scientists from the biology and chemistry disciplines. His main research interests are in applying artificial intelligence and statistics to better understand large data sets. As a member of the Research Informatics group, he has been involved recently in developing a suite of advanced visualization tools.
From 1996 to 2001, Peter Henstock was a member of the technical staff at MIT Lincoln Laboratory involved in both pattern recognition applied to radar systems and computational linguistics applied to cross-language information retrieval and translation systems. He received his Ph.D. in Electrical and Computer Engineering from Purdue University in 1996.
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The Role of Systems Biology and Knowledge Management in Advancing Toxicology Knowledge in Big Pharma
Peter V. Henstock, Pfizer
This talk will focus on two key research areas of the Systems Biology group at the Pfizer Research Technology Center in Cambridge, Massachusetts. The first area involves efforts to identify indications of hepatic injury using a set of cell-based assays. Panels of compounds with known toxic endpoints have been assembled and screened to characterize hepatic toxicity using a variety of assays. The second area is an effort to model the p38 signaling pathway associated with rheumatoid arthritis. A combination of literature mining, cell-based assays, and mathematical modeling of the pathway has been used with the goal of better understanding the associated toxicities. The approaches and challenges of both areas will be presented.
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