Abstract
We present a user-friendly molecular generative pipeline called Pocket Crafter, specifically designed to facilitate hit finding activity in the drug discovery process. This workflow utilized a 3D (three-dimensional) generative modeling method, e.g. Pocket2Mol, for the de novo design of molecules in spatial perspective for the targeted protein structures, followed by filters for chemical-physical properties and drug-likeness, SAR (structure-activity relationship) analysis, and clustering to generate top virtual hit scaffolds. In our WDR5 case study, we acquired a focused set of 2029 compounds after a targeted searching within Novartis archived library based on the virtual scaffolds. Subsequently, we experimentally profiled these compounds, resulting in a novel chemical scaffold series that demonstrated activity in biochemical and biophysical assays. Pocket Crafter successfully prototyped an effective end-to-end 3D generative chemistry-based workflow for the exploration of new chemical scaffolds, which represents a promising approach in early drug discovery for the identification of novel active compounds.
Supplementary materials
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Material 1: PC compound structures
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PC compound structures
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Material 2: Protein Ligand Interaction Fingerprints (PLIF) summary
Description
Protein Ligand Interaction Fingerprints (PLIF) summary
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