psipred / FFPredGANLinks
Improving protein function prediction with synthetic feature samples created by generative adversarial networks
☆22Updated 4 years ago
Alternatives and similar repositories for FFPredGAN
Users that are interested in FFPredGAN are comparing it to the libraries listed below
Sorting:
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆61Updated 4 months ago
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆80Updated 11 months ago
- Deep learning protein-protein binding sites prediction☆20Updated 2 years ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- PaccMann models for protein language modeling☆42Updated 3 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆72Updated last year
- ☆18Updated 5 years ago
- Protein sequence classification with self-supervised pretraining☆82Updated 3 years ago
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆39Updated 2 years ago
- deep protein solubility prediction☆38Updated 6 years ago
- ☆29Updated 5 years ago
- Paratope Prediction using Deep Learning☆60Updated 2 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆60Updated 11 months ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆87Updated 2 years ago
- Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.☆75Updated 2 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆58Updated 3 years ago
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Updated 4 months ago
- Supplementary data for the ACME algorithm☆23Updated 2 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆35Updated 4 years ago
- Neural networks for deep mutational scanning data☆69Updated last month
- The standalone version of SPOT-1D-Single available for public use for research purposes.☆23Updated last year
- ☆52Updated 11 months ago
- Graph-based representation learning method for protein function prediction☆24Updated 4 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- A C, C++, Python project focusing on Docking analysis, Source code, Blogs, Data availability, References.☆26Updated 2 years ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- A Deep-learning based dOcking decoy eValuation mEthod☆57Updated 2 years ago
- Fast and easy contact prediction.☆38Updated last year