Chapter 11 – Combination therapeutics

In the last decade a number of drugs targeting specific proteins have been developed that are becoming common in cancer research as a basis for personalized therapy. However, the numerous aberrations in molecular pathways that can produce cancer necessitate the use of drug combinations, as compared to single drug for treatment of individual cancers. In this chapter, we first consider a model-based combination therapy design using the target inhibition map framework where set cover- and hill climbing-based techniques are used to arrive at suitable drug combinations. Subsequently, we examine the design of efficacious drug combinations when limited information is available to infer a model. The second part of the chapter presents a stochastic search approach to arrive at an efficacious drug combination with limited iterations.

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