liudan111 / PLM-interactLinks
PLM-interact: extending protein language models to predict protein-protein interactions.
☆29Updated last month
Alternatives and similar repositories for PLM-interact
Users that are interested in PLM-interact are comparing it to the libraries listed below
Sorting:
- ☆32Updated 2 weeks ago
- ☆15Updated last month
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated last year
- Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"☆21Updated 5 months ago
- ☆36Updated 8 months ago
- LoRA for protein language models☆43Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆59Updated 4 years ago
- Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'☆25Updated last year
- Fast deep learning methods for large-scale protein-protein interaction screening☆75Updated 2 months ago
- ☆14Updated 2 months ago
- Predict the structure of immune receptor proteins☆55Updated 11 months ago
- ☆25Updated 2 years ago
- A protein structure dataset that combines 3D atomic coordinates with biophysical and evolutionary properties for every atom in every "cle…☆38Updated last year
- Template-based protein design with Raygun☆73Updated last month
- Protein Design by Machine Learning guided Directed Evolution☆46Updated 6 months ago
- Results and data from the pilot round of the Protein Engineering Tournament☆30Updated 6 months ago
- ☆43Updated 2 weeks ago
- ☆27Updated 9 months ago
- A comprehensive benchmark on the performances of multiple protein backbone generative models.☆64Updated 4 months ago
- AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer☆58Updated last month
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Fragment binding prediction with ColabFold☆37Updated 6 months ago
- Predict protein local properties using sequence or profile information.☆23Updated 4 years ago
- A 3D-equivariant neural network for protein structure accuracy estimation☆19Updated 2 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆31Updated last year
- ☆30Updated last year
- Ultra-fast in-silico structure mutation☆34Updated 6 months ago
- Neural networks for deep mutational scanning data☆69Updated 4 months ago
- Contrastive learning harmonizing protein language models and natural language models☆36Updated last year
- AlphaLink: Integrating crosslinking MS data into OpenFold☆70Updated last year