csi-greifflab / AbsolutLinks
Unconstrained lattice antibody-antigen bindings generator
☆109Updated 11 months ago
Alternatives and similar repositories for Absolut
Users that are interested in Absolut are comparing it to the libraries listed below
Sorting:
- ☆62Updated 3 years ago
- Public repository describing training and testing of AntiBERTa.☆59Updated 2 years ago
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆125Updated 3 years ago
- ☆58Updated 2 years ago
- Convenience Python APIs for antibody numbering using ANARCI☆96Updated 2 weeks 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
- Tutorials, cheat sheets, and other resources for computational methods for protein design.☆112Updated last year
- Fitness landscapes for antibodies☆71Updated 4 months ago
- Generative Language Modeling for Antibody Design☆149Updated 8 months ago
- Protein design and variant prediction using autoregressive generative models☆103Updated last year
- AbLang: A language model for antibodies☆140Updated last year
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆151Updated last year
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆31Updated last month
- Predict the structure of immune receptor proteins☆139Updated 4 months ago
- Mutation effects predicted from sequence co-variation☆65Updated 7 years ago
- Aligning protein generative models with experimental fitness☆96Updated 3 weeks ago
- ☆109Updated 3 years ago
- ☆114Updated 2 years ago
- ☆68Updated 4 years ago
- Improved antibody structure-based design using inverse folding☆120Updated 3 weeks ago
- Evolutionary velocity with protein language models☆90Updated last year
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆113Updated 2 months ago
- Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.☆159Updated 2 years ago
- ☆108Updated 10 months ago
- PLM based active learning model for protein engineering☆80Updated 10 months ago
- python tools for TCR:peptide-MHC modeling and analysis☆75Updated last year
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆56Updated 5 months ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆100Updated 8 months ago
- A generative latent variable model for biological sequence families.☆219Updated 3 years ago
- Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies☆87Updated last year