Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure
☆163May 1, 2021Updated 4 years ago
Alternatives and similar repositories for gvp
Users that are interested in gvp are comparing it to the libraries listed below
Sorting:
- Geometric Vector Perceptrons --- a rotation-equivariant GNN for learning from biomolecular structure☆318Nov 15, 2025Updated 3 months ago
- Generative Models for Graph-Based Protein Design☆284Dec 24, 2020Updated 5 years ago
- ATOM3D: tasks on molecules in three dimensions☆318Mar 2, 2023Updated 2 years ago
- Open source code for TankBind. Galixir Tenchnologies☆173Nov 1, 2023Updated 2 years ago
- EquiDock: geometric deep learning for fast rigid 3D protein-protein docking☆255Sep 22, 2023Updated 2 years ago
- ☆241May 22, 2023Updated 2 years ago
- Exploring Evolution-aware & free protein language models as protein function predictors☆63Sep 28, 2024Updated last year
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆49Jan 24, 2022Updated 4 years ago
- EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein☆536Feb 19, 2025Updated last year
- GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)☆315Jun 13, 2025Updated 8 months ago
- ☆130Sep 5, 2022Updated 3 years ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆89Jun 18, 2021Updated 4 years ago
- An all-atom protein structure dataset for machine learning.☆359Mar 16, 2024Updated last year
- Diffusion models of protein structure; trigonometry and attention are all you need!☆564Dec 12, 2023Updated 2 years ago
- OmegaFold Release Code☆612Dec 12, 2022Updated 3 years ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆568Jul 10, 2023Updated 2 years ago
- Graph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)☆70Jul 19, 2024Updated last year
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆61Aug 3, 2024Updated last year
- Evolutionary Scale Modeling (esm): Pretrained language models for proteins☆3,982Feb 7, 2024Updated 2 years ago
- Database of Interacting Protein Structures (DIPS)☆104Jan 26, 2024Updated 2 years ago
- Implementation for SE(3) diffusion model with application to protein backbone generation☆414Jul 3, 2023Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆123Sep 18, 2021Updated 4 years ago
- Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)☆229Dec 29, 2023Updated 2 years ago
- Code for the ProteinMPNN paper☆1,627Aug 14, 2024Updated last year
- ☆108Apr 1, 2023Updated 2 years ago
- Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)☆281Feb 10, 2024Updated 2 years ago
- ☆793May 27, 2025Updated 9 months ago
- Protein Design with Guided Discrete Diffusion☆141Feb 21, 2024Updated 2 years ago
- Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer.☆98Jul 29, 2024Updated last year
- Protein Language Model☆121Jan 15, 2024Updated 2 years ago
- ☆209Apr 21, 2025Updated 10 months ago
- open source repository☆146Nov 30, 2023Updated 2 years ago
- Multi-Scale Representation Learning on Proteins (NeurIPS 2021)☆49Jun 30, 2023Updated 2 years ago
- Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different dom…☆732Dec 11, 2022Updated 3 years ago
- ☆90Feb 14, 2024Updated 2 years ago
- ☆65Sep 14, 2023Updated 2 years ago
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆151Mar 10, 2025Updated 11 months ago
- ☆14Jul 14, 2023Updated 2 years ago
- EigenFold: Generative Protein Structure Prediction with Diffusion Models☆180Apr 6, 2023Updated 2 years ago