ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
☆34Apr 1, 2022Updated 3 years ago
Alternatives and similar repositories for ERGO-II
Users that are interested in ERGO-II are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆19Aug 26, 2020Updated 5 years ago
- predicting peptide and TCR interaction☆20Jan 27, 2021Updated 5 years ago
- ☆41Aug 18, 2020Updated 5 years ago
- Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…☆30Jul 12, 2025Updated 8 months ago
- python tools for TCR:peptide-MHC modeling and analysis☆90Apr 12, 2024Updated last year
- Code for "Attentive Variational Information Bottleneck for TCR-peptide Interaction Prediction", Grazioli et al., Bioinformatics 2022☆23Jan 10, 2023Updated 3 years ago
- TEINet: a deep learning framework for prediction of TCR-epitope binding specificity☆16Jun 30, 2023Updated 2 years ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆36Mar 29, 2022Updated 3 years ago
- ☆17Jun 24, 2021Updated 4 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆77Apr 1, 2023Updated 2 years ago
- Deep Learning the T Cell Receptor Binding Specificity of Neoantigen☆90Jun 14, 2022Updated 3 years ago
- Predicting immunogenic peptide recognized by TCR through ensemble deep learning☆17Apr 22, 2024Updated last year
- flexible CDR based distance metrics☆71Dec 16, 2025Updated 3 months ago
- Predictor of TCR-epitope interactions☆34Sep 9, 2025Updated 6 months ago
- Mapping the Functional Landscape of TCR Repertoire☆36Oct 8, 2021Updated 4 years ago
- ☆52Dec 3, 2023Updated 2 years ago
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Aug 18, 2022Updated 3 years ago
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆24Mar 6, 2026Updated 2 weeks ago
- ☆31Jun 24, 2025Updated 8 months ago
- Stitchr - a Python script to stitch together coding TCR nucleotide sequences from V, J, and CDR3 info☆64Mar 12, 2026Updated last week
- ⚙️ Matching T-cell repertoire against a database of TCR antigen specificities☆39Feb 23, 2026Updated last month
- Methods for clustering and analyzing high-throughput single cell immune cell repertoires (RepSeq)☆16Jun 28, 2025Updated 8 months ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆26Oct 18, 2022Updated 3 years ago
- TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…☆30Jan 31, 2023Updated 3 years ago
- 🗂️ Git-based TCR database storage & management. Submissions welcome!☆153Updated this week
- ☆12Mar 22, 2024Updated 2 years ago
- An improved method for predicting toxicity of the peptides and designing of non-toxic peptides☆26May 29, 2025Updated 9 months ago
- ☆22Oct 4, 2022Updated 3 years ago
- ☆13Feb 17, 2022Updated 4 years ago
- TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning☆12Jun 19, 2023Updated 2 years ago
- ☆18Jan 30, 2023Updated 3 years ago
- A database of T-cell receptor sequences☆11Aug 6, 2025Updated 7 months ago
- an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression☆12Feb 26, 2024Updated 2 years ago
- epiTCR: a highly sensitive predictor for TCR–peptide binding☆14Aug 15, 2025Updated 7 months ago
- Clonotype Neighbor Graph Analysis☆95Feb 12, 2026Updated last month
- TEIM: TCR-Epitope Interaction Modeling☆56Jul 26, 2023Updated 2 years ago
- 📚 Tools and databases for analyzing HLA and VDJ genes.☆238Feb 12, 2026Updated last month
- Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)☆87Oct 6, 2021Updated 4 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆44Mar 25, 2023Updated 2 years ago