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
- Deep convolutional neural networks for protein contact map prediction☆23Updated 6 years ago
- ☆29Updated 5 years ago
- Fully convolutional neural networks for protein residue-residue contact prediction☆43Updated 6 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- DeepContact Software☆26Updated 7 years ago
- ☆35Updated 4 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆60Updated 3 years ago
- Physical energy function for protein sequence design☆35Updated 2 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- DLPacker☆32Updated last year
- PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms☆57Updated 2 years ago
- ☆25Updated 3 years ago
- Improved ab initio protein structure reconstruction☆15Updated 7 years ago
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆35Updated 4 years ago
- Deep ResNet-based protein contact prediction☆20Updated 5 years ago
- A protein 3D structure prediction application☆67Updated 4 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆57Updated 3 years ago
- Tool for modelling the CDRs of antibodies☆50Updated 2 years ago
- Code for our paper "Protein sequence design with a learned potential"☆81Updated 2 years ago
- Docking benchmark 5 - cleaned and ready to use for HADDOCK☆14Updated 2 months ago
- Rosetta FunFolDes – a general framework for the computational design of functional proteins.