aaronkollasch / seqdesign-pytorchLinks
Protein design and variant prediction using autoregressive generative models
☆24Updated 2 years ago
Alternatives and similar repositories for seqdesign-pytorch
Users that are interested in seqdesign-pytorch are comparing it to the libraries listed below
Sorting:
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- ☆23Updated 4 years ago
- dMaSIF implementation for google colab☆32Updated 2 years ago
- A convolutional neural network model to predict spatial charge map (SCM) score, a molecular dynamics simulation-based model to predict an…☆28Updated 2 years ago
- Machine learning models for antibody sequences in PyTorch☆41Updated 4 years ago
- ☆46Updated 8 months ago
- Code and data used in https://doi.org/10.1101/2021.08.01.454656☆53Updated 3 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆60Updated 4 years ago
- pyFoldX: python bindings for FoldX.☆48Updated 4 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- Source code for fitting thermodynamic models (MoCHI), downstream analyses and to reproduce all figures in the following publication: Mapp…☆21Updated 2 years ago
- ☆35Updated 3 years ago
- ☆25Updated 3 weeks ago
- ☆86Updated 11 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆25Updated last year
- Code for our paper "Protein sequence design with a learned potential"☆79Updated 2 years ago
- Paratope Prediction using Deep Learning☆61Updated 2 years ago
- Tool for modelling the CDRs of antibodies☆50Updated 2 years ago
- Bioinformatics and Cheminformatics protocols for peptide analysis☆43Updated 2 years ago
- An open-source deep learning framework for data mining of protein-protein interfaces or single-residue variants.☆55Updated 9 months ago
- Machine learning-driven antibody design☆60Updated 2 years ago
- Neural networks for deep mutational scanning data☆69Updated 3 months ago
- Fragment binding prediction with ColabFold☆37Updated 5 months ago
- Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile☆69Updated last year
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- ☆72Updated 5 years ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆65Updated 10 months ago
- NodeCoder is a general framework based on graph convolutional neural network for protein function prediction.☆33Updated last year
- ☆68Updated 10 months ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆52Updated last month