cmb-chula / MHCSeqNet
A Python tool for prediction MHC ligand
☆33Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for MHCSeqNet
- HLA-II ligand predictor.☆35Updated last year
- MHC Class I and Class II neoantigen binding prediction☆26Updated last year
- predicting peptide and TCR interaction☆20Updated 3 years ago
- HLA-I ligand predictor☆29Updated 6 months ago
- ☆38Updated 11 months ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆43Updated 5 years ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆29Updated last year
- Python package and command line tool for epitope prediction☆49Updated 3 months ago
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆28Updated 2 years ago
- ☆37Updated 4 years ago
- BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity☆46Updated 6 months ago
- ☆66Updated last year
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆40Updated last year
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆29Updated 2 years ago
- Absolve antibody variable domain sequence analysis☆16Updated 6 years ago
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…☆25Updated 6 months ago
- 🧛 Deep generative models for TCR sequences 🧛☆16Updated 2 years ago
- CDR3 clustering module providing a new method for fast and accurate clustering of large data sets of CDR3 amino acid sequences, and offer…☆50Updated 7 months ago
- Deep learning model to predict degron sequences☆18Updated last year
- Code and data used in The Great Repertoire Project☆29Updated 3 years ago
- Comparison of Adaptive Immune Receptor Repertoires☆25Updated last year
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆29Updated 3 weeks ago
- insilico Pathway Activation Network Decomposition Analysis (iPANDA) package. Owned by Insilico Medicine Inc. iPANDA is a pathway analysis…☆25Updated 7 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆63Updated last year
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 4 years ago
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆15Updated last year
- Evolutionary velocity with protein language models☆83Updated last year
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 2 years ago
- TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…☆26Updated last year