A computational method for drug repositioning using publicly available gene expression data

KM Shabana; K. A. Abdul Nazeer; Meeta Pradhan; Mathew Palakal

doi:10.1186/1471-2105-16-s17-s5

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A computational method for drug repositioning using publicly available gene expression data

KM Shabana K. A. Abdul Nazeer Meeta Pradhan Mathew Palakal

Year: 2015 Journal: BMC Bioinformatics Vol: 16 (S17)Pages: S5-S5 Publisher: BioMed Central

DOI: 10.1186/1471-2105-16-s17-s5

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Abstract

Three strong candidates for repurposing have been identified- Letrozole and GDC-0941 against lung cancer, and Ribavirin against breast cancer. Letrozole and GDC-0941 are drugs currently used in breast cancer treatment and Ribavirin is used in the treatment of Hepatitis C.

Keywords:

Drug repositioning DNA microarray Computational biology Computer science Gene expression Data mining Drug Gene Data science Bioinformatics Biology Genetics Pharmacology

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

RNA and protein synthesis mechanisms

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

A computational method for drug repositioning using publicly available gene expression data

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