Classification of pharmaceutical toxicity by feature analysis

J. Quinn, Lit Hsin Loo, J. Armitage, H. Cordingley, S. Roberts, P. J. Bugelski, M. Kam, L. Hrebien

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE 28th Annual Northeast Bioengineering Conference, NEBC 2002
EditorsDalia El-Sherif, Karen Moxon, Saravanan Kanakasabai
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages211-212
Number of pages2
ISBN (Electronic)0780374193
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event28th IEEE Annual Northeast Bioengineering Conference, NEBC 2002 - Philadelphia, United States
Duration: Apr 20 2002Apr 21 2002

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume2002-January
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001

Other

Other28th IEEE Annual Northeast Bioengineering Conference, NEBC 2002
CountryUnited States
CityPhiladelphia
Period4/20/024/21/02

All Science Journal Classification (ASJC) codes

  • Bioengineering

Keywords

  • Animals
  • Clinical trials
  • Drugs
  • In vivo
  • Liver
  • Measurement standards
  • Pharmaceuticals
  • Proteins
  • Rats
  • Vehicles

Fingerprint Dive into the research topics of 'Classification of pharmaceutical toxicity by feature analysis'. Together they form a unique fingerprint.

Cite this