sokrypton / seqmodelsLinks
☆31Updated 4 years ago
Alternatives and similar repositories for seqmodels
Users that are interested in seqmodels are comparing it to the libraries listed below
Sorting:
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆37Updated 2 years ago
- Predict the structure of immune receptor proteins☆51Updated 8 months ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆72Updated last year
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 4 years ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆45Updated 2 months ago
- Fast and accurate protein structure prediction☆53Updated 5 months ago
- ☆35Updated 6 months ago
- AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer☆57Updated last month
- Ultra-fast in-silico structure mutation☆34Updated 3 months ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- PLM-interact: extending protein language models to predict protein-protein interactions.☆25Updated 2 weeks ago
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated last year
- Results and data from the pilot round of the Protein Engineering Tournament☆30Updated 3 months ago
- Evolutionary velocity with protein language models☆93Updated last year
- ☆25Updated 5 years ago
- This repository contains the stand-alone tool for MusiteDeep server☆34Updated 4 years ago
- Code, intermediate results and an interactive visualisation on prediction of putative novel enzymes and small molecule binding proteins p…☆26Updated last year
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 6 years ago
- Python package to manage protein structures and their annotations☆43Updated last year
- Neural networks for deep mutational scanning data☆69Updated last month
- Template-based protein design with Raygun☆70Updated last month
- Protein design and variant prediction using autoregressive generative models☆106Updated last year
- De novo protein structure prediction using iteratively predicted structural constraints☆58Updated 3 years ago
- ☆18Updated 4 months ago
- ☆16Updated last week
- Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix☆35Updated 2 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 7 months ago
- Parametric Building of de novo Functional Topologies☆44Updated 3 years ago
- ☆30Updated 2 months ago