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Updated: Mar 21, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
Published on: May 27, 2021
Shedding Light on Synergistic Chemical Genetic Connections with Machine Learning
Sean Ekins1, Jair Lage Siqueira-Neto2
1Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay-Varina, NC 27526, USA; Collaborative Drug Discovery, 1633 Bayshore Highway, Suite 342, Burlingame, CA 94010, USA; Collaborations Pharmaceuticals, Inc., 5616 Hilltop Needmore Road, Fuquay-Varina, NC 27526, USA; Phoenix Nest, Inc., P.O. Box 150057, Brooklyn, NY 11215, USA; Hereditary Neuropathy Foundation, 401 Park Avenue South, 10th Floor, New York, NY 10016, USA.
Abstract:
Machine learning can be used to predict compounds acting synergistically, and this could greatly expand the universe of available potential treatments for diseases that are currently hidden in the dark chemical matter.
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