/tools/DiffSBDD
DiffSBDD
arneschneuing/DiffSBDD
484 stars119 forksPythonAdded February 5, 2026
summary
DiffSBDD is an implementation of an equivariant diffusion model aimed at structure-based drug design. It allows users to generate new ligands, optimize existing molecules, and benchmark performance using various datasets, making it a comprehensive tool for molecular design and analysis.
description
A Euclidean diffusion model for structure-based drug design.
topics
ddpmdrug-designequivariancegenerative-modelgraph-neural-networksmachine-learning
Ratings
N/A
0 ratings
Rate this tool: