Shedding Light on Synergistic Chemical Genetic Connections with Machine Learning

Sean Ekins; Jair Lage Siqueira-Neto

doi:10.1016/j.cels.2015.12.005

Shedding Light on Synergistic Chemical Genetic Connections with Machine Learning

Cell Syst. 2015 Dec 23;1(6):377-9. doi: 10.1016/j.cels.2015.12.005. Epub 2015 Dec 23.

Authors

Sean Ekins¹, Jair Lage Siqueira-Neto²

Affiliations

¹ Collaborations 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. Electronic address: ekinssean@yahoo.com.
² Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, CA 92093, USA.

PMID: 27136350
DOI: 10.1016/j.cels.2015.12.005

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.