Abstract: Computational methods for drug combination predictions are needed to reduce the search space of pairwise comparisons of available drugs and identify effective therapies that improve durability and prevent drug resistance. Here we evaluate the application of SynGeNet, a transcriptomics and network-based method to predict drug combinations for BRAF-mutant melanoma. We show that SynGeNet predicts validated genotype-specific melanoma drug combinations and outperforms other similar methods.
Learning Objective 1: Understand computational methods used to predict drug combinations using transcriptomics data and network mining algorithms.
Kelly Regan (Presenter)
The Ohio State Univ
Philip Payne, Washington University
Fuhai Li, The Ohio State Univ