HannesStark / EquiBindLinks
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
☆510Updated 4 months ago
Alternatives and similar repositories for EquiBind
Users that are interested in EquiBind are comparing it to the libraries listed below
Sorting:
- MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.☆658Updated last year
- NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model☆291Updated last year
- EquiDock: geometric deep learning for fast rigid 3D protein-protein docking☆242Updated last year
- AlphaFold Meets Flow Matching for Generating Protein Ensembles☆449Updated 5 months ago
- A Euclidean diffusion model for structure-based drug design.☆428Updated 3 months ago
- ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)☆327Updated last year
- An all-atom protein structure dataset for machine learning.☆353Updated last year
- DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design☆335Updated last year
- ☆355Updated 3 weeks ago
- Public RFDiffusionAA repo☆399Updated 11 months ago
- Graph neural networks for molecular design.☆372Updated 2 years ago
- Diffusion models of protein structure; trigonometry and attention are all you need!☆545Updated last year
- Protein hallucination and inpainting with RoseTTAFold☆260Updated 2 years ago
- Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models …☆240Updated last month
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆282Updated 2 years ago
- Joint sequence and structure generation with RoseTTAFold sequence space diffusion☆311Updated 7 months ago
- Awesome papers related to generative molecular modeling and design.☆327Updated 6 months ago
- Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets☆311Updated last year
- Deep generative models of 3D grids for structure-based drug discovery☆233Updated 2 years ago
- Making Protein Design accessible to all via Google Colab!☆746Updated last week
- ☆212Updated 2 years ago
- AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.☆500Updated last week
- RoseTTAFold2 protein/nucleic acid complex prediction☆359Updated last year
- A collection of *fold* tools☆293Updated 9 months ago
- ☆202Updated 9 months ago
- Interaction Fingerprints for protein-ligand complexes and more☆421Updated this week
- ☆247Updated 10 months ago
- Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files according to 📝 Adasme …☆548Updated last month
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆361Updated last year
- ATOM3D: tasks on molecules in three dimensions☆310Updated 2 years ago