Using machine learning for S. Aureus drug discovery
What is it about?
This article describes a large screen for copper dependent inhibitors of S. Aureus. The data were used for modeling chemical properties, Bayesian machine learning using Biovia software and Assay Central. We also performed a prospective screen and identified a couple of anti-helminths that are copper dependent inhibitors.
Why is it important?
The integration of HTS and machine learning with a large dataset.
The following have contributed to this page: Dr Sean Ekins