PharmacoDB

An integrative database for mining in vitro anticancer drug screening studies

Description: High throughput drug screening technologies have enabled the profiling of hundreds of cancer cell lines to a large variety of small molecules to discover novel and repurposed treatments. Several large studies have been publicly released testing candidate molecules, often with corresponding molecular profiles of the cell lines used for drug screening. These studies have become invaluable resources for the research community, allowing researchers to leverage the collected data to support their own research. However, such pharmacogenomic datasets are disparate and lack of standardization for cell line and drug identifiers, and used heterogeneous data format for the drug sensitivity measurements.

Authors: Petr Smirnov, Victor Kofia, Alexander Maru, Mark Freeman, Chantal Ho, Nehme El-Hachem, George-Alexandru Adam, Wail Ba-alawi, Zhaleh Safikhani, Benjamin Haibe-Kains
Lab: Haibe-Kains
Version: 1.1.0
Keywords: PharmacoDB, cell lines, drug screening, molecular profiles, datasets, pharmacogenomics, annotations, drug sensitivity, visualization
Licensing: GPLv3

Citation

Smirnov, P., Kofia, V., Maru, A., Freeman, M., Ho, C., El-Hachem, N., ... & Haibe-Kains, B. (2018). PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies. Nucleic acids research, 46(D1), D994-D1002.
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