JSchlensok / VespaG
Expert-Guided Protein Language Models enable Accurate and Blazingly Fast Fitness Prediction
☆13Updated this week
Alternatives and similar repositories for VespaG:
Users that are interested in VespaG are comparing it to the libraries listed below
- Fast deep learning methods for large-scale protein-protein interaction screening☆34Updated 5 months ago
- This is the official code repository for the paper NeurIPS 2024 spotlight paper "Kermut: Composite kernel regression for protein variant …☆17Updated 2 months ago
- Active Learning-Assisted Directed Evolution for Protein Engineering☆39Updated 3 months ago
- ☆61Updated 2 months ago
- Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'☆23Updated last year
- Generating and scoring novel enzyme sequences with a variety of models and metrics☆69Updated last month
- Results and data from the pilot round of the Protein Engineering Tournament☆27Updated 2 months ago
- PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.☆27Updated 2 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆27Updated 6 months ago
- ☆20Updated 4 months ago
- Inference code for PoET: A generative model of protein families as sequences-of-sequences☆65Updated 10 months ago
- ☆36Updated last year
- ☆31Updated last month
- Mutational Effect Transfer Learning (METL) framework for pretraining and finetuning biophysics-informed protein language models☆34Updated 3 weeks ago
- Adapting protein language models for structure-conditioned design☆37Updated 6 months ago
- 🧬 Augmenting zero-shot mutant prediction by retrieval-based logits fusion.☆37Updated this week
- Machine learning prediction of enzyme optimum pH☆29Updated last month
- Target Sequence-Conditioned Generation of Peptide Binders via Masked Language Modeling☆47Updated 7 months ago
- ☆22Updated last year
- Predicts the solubility and usability for purification of proteins expressed in E. coli using protein language models☆28Updated 2 months ago
- Deep learning framework for protein sequence design from a backbone scaffold that can leverage the molecular context including non-protei…☆36Updated 3 months ago
- ☆54Updated 10 months ago
- ☆24Updated 8 months ago
- Efficient implementatin of ESM family.☆53Updated last month
- An antibody-specific language model focusing on NGL prediction☆15Updated 9 months ago
- This is the official code repository for the paper FLOP: Tasks for Fitness Landscapes Of Protein wildtypes by Groth et al.☆22Updated last year
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆43Updated 2 weeks ago
- ☆33Updated 5 months ago
- ☆41Updated 5 months ago