baldassarreFe / graphqa
Protein quality assessment using Graph Convolutional Networks
☆28Updated 2 years ago
Alternatives and similar repositories for graphqa:
Users that are interested in graphqa are comparing it to the libraries listed below
- Code for Fold2Seq paper from ICML 2021☆50Updated 2 years ago
- Database of Interacting Protein Structures (DIPS)☆96Updated last year
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆49Updated 3 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆48Updated last year
- PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms☆54Updated last year
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated last year
- DLPacker☆29Updated 5 months ago
- Multi-Scale Representation Learning on Proteins (NeurIPS 2021)☆47Updated last year
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 3 years ago
- ☆68Updated 2 years ago
- ☆20Updated 2 years ago
- A variational autoencoder that directly generates the 3D coordinates of immunoglobulin protein backbones.☆27Updated 2 years ago
- ☆36Updated 3 years ago
- Recurrent Geometric Network in Pytorch☆29Updated 4 years ago
- A geometric deep learning pipeline for predicting protein interface contacts. (ICLR 2022)☆63Updated 2 years ago
- ☆78Updated 11 months ago
- ☆20Updated 3 years ago
- A surface-based deep learning approach for the prediction of ligand binding sites on proteins☆39Updated last year
- ☆25Updated 3 years ago
- ☆45Updated last month
- A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction☆77Updated 4 years ago
- Learning to design protein-protein interactions with enhanced generalization (ICLR 2024)☆47Updated last month
- Antibody-Antigen Docking and Affinity Benchmark☆69Updated 4 years ago
- ☆105Updated last year
- 🔥 PyTorch implementation of GNINA scoring function for molecular docking☆60Updated last month
- Protein Interface Prediction using Graph Convolutional Networks☆92Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated last year
- Computes a molecular graph for protein structures.☆58Updated this week
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆56Updated 3 years ago
- Spatiotemporal identification of druggable binding sites using deep learning☆22Updated 3 years ago