Machine learning-powered antibiotics phenotypic drug discovery
Abstract
Identification of novel antibiotics remains a major challenge for drug discovery. The present study explores use of phenotypic readouts beyond classical antibacterial growth inhibition adopting a combined multiparametric high content screening and genomic approach. Deployment of the semi-automated bacterial phenotypic fingerprint (BPF) profiling platform in conjunction with a machine learning-powered dataset analysis, effectively allowed us to...
Paper Details
Title
Machine learning-powered antibiotics phenotypic drug discovery
Published Date
Mar 21, 2019
Journal
Volume
9
Issue
1
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