microsoft / foldingdiffLinks
Diffusion models of protein structure; trigonometry and attention are all you need!
☆540Updated last year
Alternatives and similar repositories for foldingdiff
Users that are interested in foldingdiff are comparing it to the libraries listed below
Sorting:
- RoseTTAFold2 protein/nucleic acid complex prediction☆359Updated 11 months ago
- ✌🏻 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures (NeurIPS 2022)☆320Updated last year
- An all-atom protein structure dataset for machine learning.☆352Updated last year
- EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein☆508Updated 3 months ago
- Making Protein Design accessible to all via Google Colab!☆730Updated 3 weeks ago
- Public RFDiffusionAA repo☆394Updated 10 months ago
- AlphaFold Meets Flow Matching for Generating Protein Ensembles☆440Updated 4 months ago
- ☆247Updated 10 months ago
- An open-source platform for developing protein models beyond AlphaFold.☆394Updated 11 months ago
- Joint sequence and structure generation with RoseTTAFold sequence space diffusion☆312Updated 7 months ago
- OmegaFold Release Code☆585Updated 2 years ago
- Official repository for the ProteinGym benchmarks☆309Updated last month
- Protein hallucination and inpainting with RoseTTAFold☆259Updated 2 years ago
- A Euclidean diffusion model for structure-based drug design.☆418Updated 3 months ago
- Versatile computational pipeline for processing protein structure data for deep learning applications.☆257Updated last year
- Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking☆1,252Updated last month
- Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies☆359Updated last year
- A collection of *fold* tools☆293Updated 8 months ago
- User friendly and accurate binder design pipeline☆534Updated last week
- ☆719Updated this week
- MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.☆654Updated 11 months ago
- Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models …☆239Updated last month
- Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch☆158Updated 2 years ago
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆279Updated 2 years ago
- ☆382Updated 3 months ago
- Implementation for SE(3) diffusion model with application to protein backbone generation☆377Updated last year
- NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model☆293Updated last year
- GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)☆290Updated last year
- Fast protein backbone generation with SE(3) flow matching.☆263Updated 10 months ago
- De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds☆180Updated last year