A computational framework for predicting drug Mode-of-Action

Chifeng Ma; Yufei Huang; Hung I. Chen; Yidong Chen

doi:10.1109/BIBMW.2010.5703831

A computational framework for predicting drug Mode-of-Action

Chifeng Ma, Yufei Huang, Hung I. Chen, Yidong Chen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Pages	374-379
Number of pages	6
DOIs	https://doi.org/10.1109/BIBMW.2010.5703831
State	Published - Dec 1 2010
Event	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 - HongKong, China Duration: Dec 18 2010 → Dec 21 2010

Publication series

Name	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Other

Other	2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010
Country/Territory	China
City	HongKong
Period	12/18/10 → 12/21/10

Keywords

Drug activity prediction
Gene set selection
MoANet
Mode of Action

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

Access to Document

10.1109/BIBMW.2010.5703831

Cite this

A computational framework for predicting drug Mode-of-Action. / Ma, Chifeng; Huang, Yufei; Chen, Hung I. et al.

2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010. 2010. p. 374-379 5703831 (2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ma, C, Huang, Y, Chen, HI & Chen, Y 2010, A computational framework for predicting drug Mode-of-Action. in 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010., 5703831, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, pp. 374-379, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, HongKong, China, 12/18/10. https://doi.org/10.1109/BIBMW.2010.5703831

@inproceedings{e9bf602fba72451dae0a374629701258,

title = "A computational framework for predicting drug Mode-of-Action",

abstract = "The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.",

keywords = "Drug activity prediction, Gene set selection, MoANet, Mode of Action",

author = "Chifeng Ma and Yufei Huang and Chen, {Hung I.} and Yidong Chen",

year = "2010",

month = dec,

day = "1",

doi = "10.1109/BIBMW.2010.5703831",

language = "English (US)",

isbn = "9781424483044",

series = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010",

pages = "374--379",

booktitle = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010",

note = "2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010 ; Conference date: 18-12-2010 Through 21-12-2010",

}

TY - GEN

T1 - A computational framework for predicting drug Mode-of-Action

AU - Ma, Chifeng

AU - Huang, Yufei

AU - Chen, Hung I.

AU - Chen, Yidong

PY - 2010/12/1

Y1 - 2010/12/1

N2 - The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.

AB - The problem of large scale computational drug screening is considered in this paper. A computational framework is developed for microarray profile of drug treatment from the Connectivity Map (cMap) project. The framework is proposed to address the deficiency of cMap prediction. This scheme includes construction of drug Mode-of-Actions (MoA) and subsequently Mode-of-Action (MoA) network, or MoANet and a MoA prediction algorithm based on MoAs. The scheme is tested on the cMap data and an independent data set. The result shows significant improvement over cMap.

KW - Drug activity prediction

KW - Gene set selection

KW - MoANet

KW - Mode of Action

UR - http://www.scopus.com/inward/record.url?scp=79952030728&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952030728&partnerID=8YFLogxK

U2 - 10.1109/BIBMW.2010.5703831

DO - 10.1109/BIBMW.2010.5703831

M3 - Conference contribution

AN - SCOPUS:79952030728

SN - 9781424483044

T3 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

SP - 374

EP - 379

BT - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

T2 - 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010

Y2 - 18 December 2010 through 21 December 2010

ER -

A computational framework for predicting drug Mode-of-Action

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this