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Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery.


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 three-dimensional (3D) generative modeling method 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, 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 hit identification.

SUBMITTER: Shen L 

PROVIDER: S-EPMC10958880 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery.

Shen Lingling L   Fang Jian J   Liu Lulu L   Yang Fei F   Jenkins Jeremy L JL   Kutchukian Peter S PS   Wang He H  

Journal of cheminformatics 20240321 1


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 three-dimensional (3D) generative modeling method 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, structure-activity relationship analysis, and clustering to generate top virt  ...[more]

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