/tools/ml_conformer_generator

ml_conformer_generator

Membrizard/ml_conformer_generator

13 stars1 forksPythonAdded February 4, 2026
summary

ML Conformer Generator is a tool that utilizes Equivariant Diffusion Models and Graph Convolutional Networks to generate novel 3D molecular conformations that adhere to specific shape constraints. It supports workflows in molecular design by allowing the generation of molecules that are chemically valid and spatially similar to reference structures.

description

Shape-constrained molecule generation via Equivariant Diffusion and GCN

topics

diffusion-modelsgraph-convolutional-networksmolecule-generationchemistryconformersrdkit

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