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.
|Number of pages
|Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
|Published - 2002
|IEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States
Duration: Apr 20 2002 → Apr 21 2002
All Science Journal Classification (ASJC) codes
- General Chemical Engineering