leeyang / ResPRELinks
ResPRE is an algorithm for protein residue-residue contact-map prediction
☆21Updated 6 years ago
Alternatives and similar repositories for ResPRE
Users that are interested in ResPRE are comparing it to the libraries listed below
Sorting:
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- ☆29Updated 5 years ago
- Deep convolutional neural networks for protein contact map prediction☆23Updated 6 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- DLPacker☆31Updated last year
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- ☆35Updated 3 years ago
- A surface-based deep learning approach for the prediction of ligand binding sites on proteins☆44Updated 2 years ago
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 4 years ago
- Improved ab initio protein structure reconstruction☆15Updated 7 years ago
- Deep transformer for predicting interchain residue-residue distances of protein complexes☆12Updated last year
- PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms☆57Updated 2 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 3 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆57Updated 2 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Rosetta FunFolDes – a general framework for the computational design of functional proteins.☆21Updated 6 years ago
- Deep ResNet-based protein contact prediction☆20Updated 5 years ago
- Docking benchmark 5 - cleaned and ready to use for HADDOCK☆14Updated last week
- Tool for modelling the CDRs of antibodies☆50Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆80Updated 2 years ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- ☆23Updated 4 years ago
- Physical energy function for protein sequence design☆33Updated 2 years ago
- DeepContact Software☆26Updated 7 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- iScore: an MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machi…☆31Updated 3 years ago
- Code and data used in https://doi.org/10.1101/2021.08.01.454656☆53Updated 3 years ago
- Using Rotamer Interaction Fields from RIFGen/Dock in python☆16Updated 4 years ago
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- ☆25Updated 3 years ago