ketatam / DiffDock-PPLinks
Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)
☆227Updated 2 years ago
Alternatives and similar repositories for DiffDock-PP
Users that are interested in DiffDock-PP are comparing it to the libraries listed below
Sorting:
- PINDER: The Protein INteraction Dataset and Evaluation Resource☆148Updated last year
- Diffusion-based all-atom protein generative model.☆229Updated 5 months ago
- Protein-ligand structure prediction☆238Updated 6 months ago
- Comprehensive benchmarking of protein-ligand structure prediction methods. (Nature Machine Intelligence)☆205Updated last month
- ☆212Updated last year
- Joint embedding of protein sequence and structure with discrete and continuous compressions of protein folding model latent spaces. http:…☆149Updated 9 months ago
- ☆234Updated 2 months ago
- De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds☆184Updated last year
- ☆133Updated 8 months ago
- Protein Ligand INteraction Dataset and Evaluation Resource☆271Updated 2 months ago
- Dataset and package for working with protein-protein interactions in 3D☆104Updated 9 months ago
- ☆240Updated 2 years ago
- GNN trained to predict changes in thermodynamic stability for protein point mutants☆224Updated 6 months ago
- Masif seed paper repository☆173Updated 4 months ago
- repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model☆282Updated last month
- PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets☆207Updated 9 months ago
- MaSIF-neosurf: surface-based protein design for ternary complexes.☆165Updated 2 months ago
- ☆108Updated 2 years ago
- ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)☆111Updated 2 years ago
- NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model☆322Updated 4 months ago
- A compilation of deep learning methods for protein design☆97Updated 3 years ago
- composite-objective protein design☆243Updated this week
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆110Updated last year
- ☆138Updated 7 months ago
- ☆236Updated last week
- EigenFold: Generative Protein Structure Prediction with Diffusion Models☆181Updated 2 years ago
- Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and rel…☆234Updated 6 months ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆155Updated 2 years ago
- Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models …☆265Updated 9 months ago
- Generative Language Modeling for Antibody Design☆180Updated last year