zhanghaicang / DeepFoldingLinks
Protein contacts prediction using deep learning models
☆77Updated 6 years ago
Alternatives and similar repositories for DeepFolding
Users that are interested in DeepFolding are comparing it to the libraries listed below
Sorting:
- Recurrent Geometric Network in Pytorch☆28Updated 4 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆55Updated 2 years ago
- ☆35Updated 3 years ago
- Protein quality assessment using Graph Convolutional Networks☆29Updated 2 years ago
- ResPRE is an algorithm for protein residue-residue contact-map prediction☆21Updated 6 years ago
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- Paratope Prediction using Deep Learning☆60Updated 2 years ago
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆82Updated 3 years ago
- Database of Interacting Protein Structures (DIPS)☆102Updated last year
- ☆29Updated 5 years ago
- A Deep-learning based dOcking decoy eValuation mEthod☆57Updated 2 years ago
- A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction☆81Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆117Updated 3 years ago
- OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling☆21Updated 5 years ago
- DLSCORE: A deep learning based scoring function for predicting protein-ligand binding affinity☆48Updated 2 years ago
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Updated 5 months ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- PyTorch library of layers acting on protein representations☆119Updated last year
- De novo protein structure prediction using iteratively predicted structural constraints☆59Updated 3 years ago
- Deep residual neural network for protein contact/distance prediction developed by Xu group☆79Updated 4 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆60Updated 4 years ago
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆90Updated 4 years ago
- Predicting protein-ligand binding sites using deep convolutional neural network☆50Updated 10 months ago
- Learning protein representation for rigid-body docking☆22Updated 5 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- A surface-based deep learning approach for the prediction of ligand binding sites on proteins☆44Updated 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
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago