DeepRank / Deeprank-GNNLinks
Graph Network for protein-protein interface
☆120Updated last year
Alternatives and similar repositories for Deeprank-GNN
Users that are interested in Deeprank-GNN are comparing it to the libraries listed below
Sorting:
- ☆130Updated last month
- ☆51Updated last year
- Antibody-Antigen Docking and Affinity Benchmark☆73Updated 4 years ago
- Dataset and package for working with protein-protein interactions in 3D☆94Updated 3 months ago
- open source repository☆139Updated last year
- a deep learning architecture for protein-ligand binding affinity prediction☆76Updated last year
- Masif seed paper repository☆156Updated 2 years ago
- MaSIF-neosurf: surface-based protein design for ternary complexes.☆136Updated last month
- A PyTorch implementation of GCN with mutual attention for protein-protein interaction prediction☆61Updated 3 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated last year
- a novel DTA predition method using graph neural network☆74Updated 2 years ago
- ☆52Updated last year
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆139Updated last year
- Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer.☆98Updated last year
- ☆86Updated 2 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆49Updated last year
- ☆111Updated last year
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- A Python 3 version of the protein descriptor package propy☆43Updated 2 years ago
- ☆40Updated last year
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆116Updated 4 months ago
- An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.☆53Updated 7 months ago
- ☆106Updated 2 years ago
- Interpretable AI pipeline improving binding predictions for novel protein targets and ligands☆39Updated last year
- ☆70Updated 4 years ago
- Geometry Deep Learning for Drug Discovery and Life Science☆71Updated last year
- PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…☆112Updated last year
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆102Updated 10 months ago
- Diffusion model based protein-ligand flexible docking method☆108Updated 9 months ago