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Systematic mapping of cancer cell target dependencies using high-throughput drug screening in triple-negative breast cancer
2020
Computational and Structural Biotechnology Journal
While high-throughput drug screening offers possibilities to profile phenotypic responses of hundreds of compounds, elucidation of the cell context-specific mechanisms of drug action requires additional analyses. To that end, we developed a computational target deconvolution pipeline that identifies the key target dependencies based on collective drug response patterns in each cell line separately. The pipeline combines quantitative drug-cell line responses with drug-target interaction networks
doi:10.1016/j.csbj.2020.11.001
pmid:33335681
pmcid:PMC7720026
fatcat:dka2gcbdvbfgxn3euafawok3r4