aqlaboratory / hsm
Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
☆70Updated last year
Alternatives and similar repositories for hsm
Users that are interested in hsm are comparing it to the libraries listed below
Sorting:
- Predict the structure of immune receptor proteins☆48Updated 6 months ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆34Updated 4 years ago
- De novo protein structure prediction using iteratively predicted structural constraints☆57Updated 3 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆58Updated 4 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆35Updated 3 years ago
- Paratope Prediction using Deep Learning☆59Updated last year
- ☆106Updated last year
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆20Updated last year
- Analysis and figure code from Alley et al. 2019.☆58Updated 2 years ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated last year
- Protein design and variant prediction using autoregressive generative models☆99Updated last year
- Public repository describing training and testing of AntiBERTa.☆59Updated 2 years ago
- GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!☆53Updated 2 years ago
- Learning with uncertainty for biological discovery and design☆34Updated 2 years ago
- ☆34Updated 3 years ago
- Machine learning models for antibody sequences in PyTorch☆39Updated 3 years ago
- ☆45Updated last year
- RNA Multiple Sequence Alignment☆40Updated last year
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- ☆47Updated 6 months ago
- Improved antibody structure-based design using inverse folding☆116Updated this week
- ☆21Updated last year
- PaccMann models for protein language modeling☆42Updated 3 years ago
- GraphSite: protein-DNA binding site prediction using graph transformer and predicted protein structures☆59Updated 9 months ago
- ☆109Updated 3 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆59Updated 4 years ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆69Updated 3 months ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆84Updated last year
- PLM based active learning model for protein engineering☆78Updated 9 months ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆71Updated last year