Classification of pharmaceutical toxicity by feature analysis

Author

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

Author_Institution

Drexel Univ., Philadelphia, PA, USA

fYear

2002

fDate

2002

Firstpage

211

Lastpage

212

Abstract

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

Keywords

biochemistry; feature extraction; interpolation; liver; mass spectroscopic chemical analysis; medical expert systems; pattern classification; pharmaceutical industry; polynomial approximation; spectroscopy computing; splines (mathematics); time of flight mass spectra; SELDI-TOF-MS; cubic spline curve; drug discovery process; expert system algorithm; feature analysis; hepatotoxicants; in vivo toxicity; interpolation; mass to charge ratio; parsing; pharmaceutical toxicity classification; polynomial fit; polypeptide pattern; polypeptide spectral data; rat liver; Animals; Clinical trials; Drugs; In vivo; Liver; Measurement standards; Pharmaceuticals; Proteins; Rats; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-7419-3

Type

conf

DOI

10.1109/NEBC.2002.999540

Filename

999540