tadorfer / protlearn
A Python package for extracting protein sequence features
☆58Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for protlearn
- Evolutionary velocity with protein language models☆83Updated last year
- Protein sequence classification with self-supervised pretraining☆82Updated 2 years ago
- Neural networks for deep mutational scanning data☆66Updated last week
- Modelling the Language of Life - Deep Learning Protein Sequences☆72Updated 3 years ago
- PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)☆18Updated last year
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆56Updated 3 years ago
- predict stability change upon mutation☆27Updated 4 months ago
- Multi-task and masked language model-based protein sequence embedding models.☆97Updated 3 years ago
- Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…☆55Updated last year
- Protein design and variant prediction using autoregressive generative models☆93Updated 10 months ago
- Analysis and figure code from Alley et al. 2019.☆58Updated last year
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆22Updated 8 months ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆71Updated 6 months ago
- ☆101Updated 11 months ago
- PLM based active learning model for protein engineering☆54Updated 3 months ago
- ☆43Updated last year
- Public repository describing training and testing of AntiBERTa.☆54Updated last year
- ☆104Updated 2 years ago
- Tool for modelling the CDRs of antibodies☆45Updated last year
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆87Updated 2 months ago
- ☆18Updated 3 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆66Updated 7 months ago
- bpRNA: Large-scale Annotation and Analysis of RNA Secondary Structure☆43Updated last year
- Machine learning models for antibody sequences in PyTorch☆38Updated 3 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆31Updated 2 years ago
- Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learni…☆25Updated 3 years ago
- Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.☆54Updated last year
- Collecting AMP MIC data from different sources, then running a GAN to output promising sequences☆65Updated 3 months ago
- PyMOL extension to color AlphaFold structures by confidence (pLDDT).☆73Updated 4 months ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆118Updated 4 years ago