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 conference › Paper › peer-review

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	211-212
Number of pages	2
State	Published - Jan 1 2002
Externally published	Yes
Event	IEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States Duration: Apr 20 2002 → Apr 21 2002

Other

Other	IEEE 28th Annual Northeast Bioengineering Conference
Country	United States
City	Philadelphia, PA
Period	4/20/02 → 4/21/02

All Science Journal Classification (ASJC) codes

Bioengineering

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

Cite this

@conference{14199c74217f4d378dc59aa2dabece5d,

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",

month = jan,

day = "1",

language = "English (US)",

pages = "211--212",

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

}

Classification of pharmaceutical toxicity by feature analysis. / Quinn, John; Loo, Lit Hsin; Armitage, James; Cordingley, Hayley; Roberts, Samuel; Bugelski, Peter J.; Kam, Moshe; Hrebien, Leonid.

2002. 211-212 Paper presented at IEEE 28th Annual Northeast Bioengineering Conference, Philadelphia, PA, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

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 - 2002/1/1

Y1 - 2002/1/1

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.

UR - http://www.scopus.com/inward/record.url?scp=0036075068&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036075068&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0036075068

SP - 211

EP - 212

T2 - IEEE 28th Annual Northeast Bioengineering Conference

Y2 - 20 April 2002 through 21 April 2002

ER -