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gRED Computational Sciences, Genentech Research and Early Development, San Francisco, CA, USA
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This work integrates small-molecule high-throughput screening with a deep-learning-based virtual screening approach to uncover new antibacterial compounds, illustrating a 90-fold improved hit rate over the high-throughput screening experiment used for training.
