Wang-lab-UCSD / RESP
The code used to generate the results from Parkinson / Hard et al. 2022
☆17Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for RESP
- ☆46Updated 5 months ago
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆56Updated 3 years ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆78Updated 8 months ago
- ☆64Updated last month
- An antibody-specific language model focusing on NGL prediction☆21Updated 3 months ago
- ☆31Updated 2 years ago
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆26Updated 4 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆28Updated last year
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆22Updated 8 months ago
- Predict the structure of immune receptor proteins☆47Updated 2 weeks ago
- ☆35Updated last month
- ☆19Updated 5 months ago
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆62Updated 4 months ago
- Public repository describing training and testing of AntiBERTa.☆54Updated last year
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆25Updated 10 months ago
- Tool for rapid clustering of antibody models by the structure of their CDRs.☆19Updated 3 weeks ago
- ☆29Updated 11 months ago
- ANTIPASTI (ANTIbody Predictor of Affinity from STructural Information) is a Deep Learning model that predicts the binding affinity of ant…☆20Updated 2 weeks ago
- ☆67Updated 4 years ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆48Updated 4 months ago
- Nature Methods: RhoFold+, Accurate RNA 3D structure prediction using a language model-based deep learning approach☆42Updated 9 months ago
- Neural networks for deep mutational scanning data☆66Updated last week
- This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-sho…☆60Updated this week
- Mutation effects predicted from sequence co-variation☆61Updated 7 years ago
- Tool for modelling the CDRs of antibodies☆45Updated last year
- RNA Multiple Sequence Alignment☆26Updated last year
- ☆29Updated 3 weeks ago
- TemStaPro - a program for protein thermostability prediction using sequence representations from a protein language model.☆48Updated 7 months ago
- Protein language model trained on coding DNA☆38Updated last month