2023
DOI: 10.48550/arxiv.2301.05931
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Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning

Abstract: Drug combination therapy is a well-established strategy for disease treatment with better effectiveness and less safety degradation. However, identifying novel drug combinations through wet-lab experiments is resource intensive due to the vast combinatorial search space. Recently, computational approaches, specifically deep learning models have emerged as an efficient way to discover synergistic combinations. While previous methods reported fair performance, their models usually do not take advantage of multi-… Show more

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