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

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 journal › Conference article › peer-review

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 language	English (US)
Pages (from-to)	211-212
Number of pages	2
Journal	Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
State	Published - 2002
Externally published	Yes
Event	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
Bioengineering

Cite this

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title = "Classification of pharmaceutical toxicity by feature analysis",

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.",

author = "John Quinn and Loo, {Lit Hsin} and James Armitage and Hayley Cordingley and Samuel Roberts and Bugelski, {Peter J.} and Moshe Kam and Leonid Hrebien",

year = "2002",

language = "English (US)",

pages = "211--212",

journal = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",

issn = "1071-121X",

note = "IEEE 28th Annual Northeast Bioengineering Conference ; Conference date: 20-04-2002 Through 21-04-2002",

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TY - JOUR

T1 - Classification of pharmaceutical toxicity by feature analysis

AU - Quinn, John

AU - Loo, Lit Hsin

AU - Armitage, James

AU - Cordingley, Hayley

AU - Roberts, Samuel

AU - Bugelski, Peter J.

AU - Kam, Moshe

AU - Hrebien, Leonid

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

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UR - http://www.scopus.com/inward/citedby.url?scp=84856969619&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84856969619

SN - 1071-121X

SP - 211

EP - 212

JO - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

JF - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

T2 - IEEE 28th Annual Northeast Bioengineering Conference

Y2 - 20 April 2002 through 21 April 2002

ER -

Classification of pharmaceutical toxicity by feature analysis

Abstract

All Science Journal Classification (ASJC) codes

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