DeepDELve, developed since early 2019, is a highly-optimised deep learning pipeline for virtual screening. It allows DEL teams to identify target-binders within online catalogues instead of expensively resynthesising library hits. The pipeline yields more numerous, more diverse leads than resynthesis, faster and at vastly lower cost.
DEL screens often contain millions of hits. By leveraging all of them, DeepDELve extracts maximum value and allows the quick and inexpensive exploration of new chemical space. The pipeline can be integrated with any standard DEL collection.
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