Official repository for MolCRAFT series
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Updated
Oct 27, 2025 - Jupyter Notebook
Official repository for MolCRAFT series
Implementation for ICLR2024 Oral paper "Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks"
[ICLR 2024] Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"
[ICML 2024] Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
[AAAI 2024] Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Developed as part of the Lawrence Livermore National Laboratory Data Science Summer Institute 2022 Challenge Problem. Screening molecular inhibitors for SARS-CoV-2 protein targets with Deep Learning Models.
An all‑in‑one 2D/3D cheminformatics searcher and viewer for learning and discovery — built for visualisation, demonstration and education.
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