Constructing a compound Mode-of-Action network for personalized drug effectiveness prediction

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

Producción científica: Conference contribution

2 Citas (Scopus)

Resumen

The problem of large scale computational drug screening is considered in this paper. A new concept of Mode-of-Action (MoA) network, or MoNet, is introduced to model the relationship of therapeutic effectiveness between different drugs. A new algorithm for constructing Mode-of-Action groups and subsequently MoNet based on gene expression profile of drug treatment is proposed. The algorithm has been applied to the data from the Connectivity Map (cMap) project and a cMap MoNet was obtained. A new drug effectiveness prediction algorithm based on MoNet is also developed and applied to an independent breast cancer data set. The prediction result shows improvement in precision over cMap.

Idioma originalEnglish (US)
Título de la publicación alojada2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010
Páginas520-528
Número de páginas9
DOI
EstadoPublished - 2010
Evento2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010 - Niagara Falls, NY, United States
Duración: ago 2 2010ago 4 2010

Serie de la publicación

Nombre2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010

Other

Other2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010
País/TerritorioUnited States
CiudadNiagara Falls, NY
Período8/2/108/4/10

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Information Management

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