conradry / pytorch-rgnLinks
Recurrent Geometric Network in Pytorch
☆28Updated 4 years ago
Alternatives and similar repositories for pytorch-rgn
Users that are interested in pytorch-rgn are comparing it to the libraries listed below
Sorting:
- Database of Interacting Protein Structures (DIPS)☆102Updated last year
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆79Updated 4 years ago
- DeeplyTough: Learning Structural Comparison of Protein Binding Sites☆166Updated 2 years ago
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 4 years ago
- Paratope Prediction using Deep Learning☆60Updated 2 years ago
- DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity☆48Updated 2 years ago
- ☆35Updated 3 years ago
- Protein quality assessment using Graph Convolutional Networks☆29Updated 2 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆88Updated 2 years ago
- DEFMap: Dynamics Extraction From cryo-em Map☆26Updated 2 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆57Updated 2 years ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆90Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- Computes a molecular graph for protein structures.☆58Updated last month
- PyTorch library of layers acting on protein representations☆119Updated last year
- source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molec…☆105Updated 2 years ago
- A convolutional neural network for classifying binding pockets based on spatial and chemical information extracted from the pockets.☆103Updated 4 years ago
- Help file for running the scripts to learn and evaluate graph convolution networks for epitope and paratope prediction☆34Updated 5 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- Protein Interface Prediction using Graph Convolutional Networks☆93Updated 4 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆50Updated last year
- Fusion models for Atomic and molecular STructures (FAST)☆92Updated 2 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆117Updated 3 years ago
- Note that current version does not include search of very large metagenome data. For some proteins, metagenome data is important. We will…☆100Updated 3 years ago
- ☆74Updated 2 years ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- Antibody-Antigen Docking and Affinity Benchmark☆73Updated 4 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- ☆106Updated 2 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago