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Figure 5 | Genome Medicine

Figure 5

From: A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening

Figure 5

Screening of chemical compounds against predicted cancer drug targets. (A) Procedure to screen high-throughput chemical library against Panc0813 cells. (B) The fraction of compounds that lead to strong inhibition (cell viability <50%, left) and unchanged cell viability (cell viability ≥70%, right). Red bars indicate the inhibitors of PaCa targets; gray bars indicate other tested compounds that inhibit non-PaCa targets or non-drug targets. (C) Cell viabilities after treatment with positive control, dasatanib, which is an experimentally/clinically studied small molecule for pancreatic cancer treatment (orange), inhibitors of PaCa targets (red) and other compounds (dark gray) are compared. DMSO is considered as control (light gray). Asterisks indicate repositioned drugs.

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