dina-lab3D / NanoNet
☆45Updated last year
Alternatives and similar repositories for NanoNet:
Users that are interested in NanoNet are comparing it to the libraries listed below
- Antibody paratope prediction using Graph Neural Networks with minimal feature vectors☆35Updated last year
- Tool for modelling the CDRs of antibodies☆47Updated 2 years ago
- The Patent and Literature Antibody Database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody s…☆24Updated 8 months ago
- KA-Search: Rapid and exhaustive sequence identity search of known antibodies☆22Updated 8 months ago
- ☆34Updated 3 years ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆28Updated this week
- Antibody-specific masked language model☆49Updated last year
- Efficient manipulation of protein structures in Python☆51Updated 4 months ago
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- ☆19Updated 9 months ago
- Making Protein folding accessible to all!☆21Updated last year
- ANTIPASTI (ANTIbody Predictor of Affinity from STructural Information) is a Deep Learning model that predicts the binding affinity of ant…☆26Updated 4 months ago
- Public repository describing training and testing of AntiBERTa.☆58Updated last year
- ☆73Updated last month
- An antibody-specific language model focusing on NGL prediction☆26Updated 6 months ago
- Tool for rapid clustering of antibody models by the structure of their CDRs.☆20Updated 4 months ago
- ☆20Updated 2 years ago
- ☆68Updated 4 years ago
- ☆43Updated 5 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆24Updated 11 months ago
- HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles☆50Updated 3 weeks ago
- ☆49Updated 9 months ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆69Updated last month
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆50Updated last month
- Data sharing for High-throughput Prediction of Changes in Protein Conformational Distributions with Subsampled AlphaFold2☆38Updated 9 months ago
- ☆54Updated 11 months ago
- ☆33Updated 2 months ago
- ☆80Updated 5 months ago
- ☆21Updated 11 months ago
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago