Classification of pharmaceutical toxicity by feature analysis

John Quinn, Lit Hsin Loo, James Armitage, Hayley Cordingley, Samuel Roberts, Peter J. Bugelski, Moshe Kam, Leonid Hrebien

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


The drug discovery process is far from optimal; only 1 in 10 compounds selected for development successfully reach the clinical trial phase. In an attempt to improve the efficiency of this process, we have applied feature analysis techniques to polypeptide spectral data from the liver of rats that have been exposed to various dosages of pharmaceuticals. Our goal is to use these techniques to predict the toxicity of a compound in vivo and help eliminate potentially dangerous pharmaceuticals from advancing past early stages of discovery.

Original languageEnglish (US)
Pages (from-to)211-212
Number of pages2
JournalProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
StatePublished - 2002
Externally publishedYes
EventIEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States
Duration: Apr 20 2002Apr 21 2002

All Science Journal Classification (ASJC) codes

  • General Chemical Engineering
  • Bioengineering


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