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Figure 3 | Genome Medicine

Figure 3

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

Figure 3

Classification of predicted targets depending on therapeutics classes. (A) Biochemical and cellular properties of targets depending on therapeutic classes. (B) Targets for antibodies. (C) Targets for synthetic peptides. (D) Targets for small molecules. Venn diagrams show the overlap of therapeutic class-specific targets depending on cancer type and gray bars represent fraction of therapeutic class-specific targets in all predicted anti-cancer targets. (E) Identification of repositioned drugs and their targets. (F) Overlap of repositioned targets of Food and Drug Administration (FDA)-approved drugs that have high specificity (number of targets is less than five proteins).

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