/tools/shepherd
shepherd
coleygroup/shepherd
summary
ShEPhERD is a diffusion generative model designed for bioisosteric drug design, capable of generating new molecules in their 3D conformations based on learned distributions of molecular structures. It includes functionalities for training and inference, making it a valuable tool for molecular design and optimization.
description
Training and inference code for ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design [ICLR 2025 oral]
topics
drug-designdrug-discoverygenerative-ai
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