Predicting cancer drug targets using genetic networks.

Madelyn Adams

Document Type

Article

Publication Date

Summer 2017

JAX Location

In: Student Reports, Summer 2017, Jackson Laboratory

Abstract

Precision medicine focuses on inhibiting a specific cancer causing mutation by targeting the individual kinase responsible; this is currently the typical approach to cancer therapeutics. However, cancer can quickly mutate to avoid the inhibition of a precise drug, which leads to resistance. New cancer treatments are shifting toward the idea of polypharmaceutical cancer drugs in order to combat this problem of resistance. Currently, such a multifaceted approach requires extensive research into the correct combination of gene or kinase targets for an effective drug. Our goal was to create a computational approach to facilitate the process of identifying targets for polypharmaceutical drugs.

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