pcpLiu / DeepSeqPan
A sequence-based pan model for peptide-MHC I binding affinity prediction.
☆25Updated 5 years ago
Alternatives and similar repositories for DeepSeqPan:
Users that are interested in DeepSeqPan are comparing it to the libraries listed below
- MHCAttnNet: Allele-Peptide predictions for class I & class II MHC alleles☆29Updated 4 years ago
- A sequence-based pan model for peptide-MHC II binding affinity prediction.☆20Updated 2 years ago
- MHC-peptide class II interaction prediction, binding, presentation☆21Updated 2 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆65Updated last year
- MHC Class I and Class II neoantigen binding prediction☆28Updated last year
- Python package and command line tool for epitope prediction☆51Updated 6 months ago
- HLA-II ligand predictor.☆40Updated last year
- ☆17Updated 2 years ago
- Supplementary data for the ACME algorithm☆23Updated 2 years ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆16Updated last month
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 3 years ago
- ☆37Updated 4 months ago
- ☆41Updated 3 years ago
- STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…☆25Updated 9 months ago
- PRedictor of IMmunogenic Epitopes☆17Updated 9 months ago
- A Python tool for prediction MHC ligand☆33Updated 6 years ago
- HLA-I ligand predictor☆32Updated 2 months ago
- a framework for predicting global protein-protein interaction networks from dynamic mass spec data☆23Updated 11 months ago
- ☆13Updated 3 years ago
- Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python☆28Updated 2 years ago
- ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…☆17Updated 2 years ago
- ☆72Updated last year
- Code for 5UTR project☆24Updated last year
- 🧛 Deep generative models for TCR sequences 🧛☆17Updated 2 years ago
- CodonBert: a BERT-based architecture tailored for codon optimization using the cross-attention mechanism.☆34Updated 5 months ago
- python tools for TCR:peptide-MHC modeling and analysis☆69Updated 10 months ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆32Updated 2 months ago
- Amino acid embedding and Convolutional Neural Network for HLA Class I-peptide binding prediction☆25Updated 7 years ago
- Prediction of B-cell epitopes from amino acid sequences using deep neural networks.☆16Updated 2 years ago
- ☆19Updated 2 years ago