liudan111 / PLM-interactLinks
PLM-interact: extending protein language models to predict protein-protein interactions.
☆30Updated 2 weeks ago
Alternatives and similar repositories for PLM-interact
Users that are interested in PLM-interact are comparing it to the libraries listed below
Sorting:
- ☆16Updated 3 weeks ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆52Updated last month
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated last year
- ☆36Updated 8 months ago
- ☆32Updated 3 weeks ago
- Fragment binding prediction with ColabFold☆37Updated 5 months ago
- Implementation code for the paper "Aggregating Residue-Level Protein Language Model Embeddings with Optimal Transport"☆20Updated 4 months ago
- ☆14Updated 2 months ago
- ☆26Updated last year
- ☆21Updated 8 months ago
- ☆11Updated last year
- LoRA for protein language models☆43Updated last year
- A 3D-equivariant neural network for protein structure accuracy estimation☆19Updated 2 years ago
- ☆26Updated 8 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆33Updated 2 weeks ago
- 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
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆31Updated last year
- Results and data from the pilot round of the Protein Engineering Tournament☆30Updated 5 months ago
- Code, intermediate results and an interactive visualisation on prediction of putative novel enzymes and small molecule binding proteins p…☆26Updated 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
- ☆30Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Reference-free analysis of genetic architecture☆18Updated 11 months ago
- ☆24Updated 2 years ago
- Protein design and variant prediction using autoregressive generative models☆24Updated 2 years ago
- Predict the structure of immune receptor proteins☆53Updated 10 months ago
- A computational method to optimize degenerate codons for synthesizing an informed combinatorial mutagenesis protein variant library☆14Updated 7 months ago
- Insights into the inner workings of transformer models for protein function prediction☆13Updated last year
- Unsupervised neural network for learning embeddings of GO terms.☆18Updated 3 years ago