csi-greifflab / AbsolutLinks
Unconstrained lattice antibody-antigen bindings generator
☆111Updated 2 months ago
Alternatives and similar repositories for Absolut
Users that are interested in Absolut are comparing it to the libraries listed below
Sorting:
- A machine-learning package for navigating combinatorial protein fitness landscapes.☆133Updated 4 years ago
- ☆76Updated 4 years ago
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- Convenience Python APIs for antibody numbering using ANARCI☆115Updated 8 months ago
- AbLang: A language model for antibodies☆157Updated 2 years ago
- A dataset for training and benchmarking deep learning models for RNA structure prediction☆62Updated 3 weeks ago
- ☆122Updated last year
- Generative Language Modeling for Antibody Design☆180Updated last year
- ☆109Updated 2 years ago
- ☆120Updated this week
- Fitness landscapes for antibodies☆146Updated last month
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆35Updated 2 months ago
- Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.☆168Updated 3 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆110Updated last year
- Predict the structure of immune receptor proteins☆171Updated 2 months ago
- Protein design and variant prediction using autoregressive generative models☆118Updated 2 years ago
- Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"☆127Updated 2 months ago
- ☆46Updated 10 months ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆91Updated last year
- ☆74Updated 5 years ago
- Multi-task and masked language model-based protein sequence embedding models.☆105Updated 4 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆82Updated 2 years ago
- Efficient evolution from protein language models☆220Updated 2 years ago
- Python code for fine-tuning AlphaFold to perform protein-peptide binding predictions☆170Updated 2 years ago
- Improved antibody structure-based design using inverse folding☆152Updated 2 months ago
- RNA Multiple Sequence Alignment☆47Updated 2 years ago
- ☆110Updated 3 years ago
- Aligning protein generative models with experimental fitness☆117Updated 3 months ago
- ☆91Updated 3 years ago