Computational analysis of image-based drug profiling predicts synergistic drug combinations: applications in triple-negative breast cancer.

ABSTRACT: An imaged-based profiling and analysis system was developed to predict clinically effective synergistic drug combinations that could accelerate the identification of effective multi-drug therapies for the treatment of triple-negative breast cancer and other challenging malignancies. The identification of effective drug combinations for the treatment of triple-negative breast cancer (TNBC) was achieved by integrating high-content screening, computational analysis, and experimental biology. The approach was based on altered cellular phenotypes induced by 55 FDA-approved drugs and biologically active compounds, acquired using fluorescence microscopy and retained in multivariate compound profiles. Dissimilarities between compound profiles guided the identification of 5 combinations, which were

SUBMITTER: Brandl MB 

PROVIDER: S-EPMC4253311 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature