kaistomics / DeepNeo
identification of immunogenic neoepitopes
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DeepNeo
- 📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential☆14Updated 2 weeks ago
- Absolve antibody variable domain sequence analysis☆16Updated 6 years ago
- A visualization software for antibody multi sequence alignment☆15Updated 5 months ago
- NetTCR-2.0. Sequence-based prediction of peptide-TCR binding☆33Updated 2 years ago
- Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity☆63Updated last year
- Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"☆12Updated 3 years ago
- PRedictor of IMmunogenic Epitopes☆17Updated 6 months ago
- HLA-I ligand predictor☆29Updated 6 months ago
- HLA-II ligand predictor.☆35Updated last year
- ☆38Updated 11 months ago
- Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling.☆23Updated last year
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆18Updated 4 years ago
- MODELLER-based, anchor restrained, Peptide-MHC Modelling pipeline☆17Updated last month
- Use machine learning to design codon-optimized DNA sequences for increased protein expression.☆15Updated 2 years ago
- VDJ assignment and antibody sequence annotation. Scalable from a single sequence to billions of sequences.☆41Updated this week
- Python package and command line tool for epitope prediction☆49Updated 3 months ago
- An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.☆80Updated 9 months ago
- ☆9Updated 8 months 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
- Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes☆15Updated last year
- MHC Class I and Class II neoantigen binding prediction☆26Updated last year
- Evolutionary conservation estimation of residues or nucleotides☆33Updated 2 years ago
- Functional Embedding of Gene Signatures☆36Updated 8 months ago
- ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction☆29Updated 2 years ago
- ☆33Updated last month
- ERGO is a deep learing based model for predicting TCR-peptide binding.☆17Updated 2 years ago
- ProNA2020: System predicting protein-DNA, protein-RNA and protein-protein binding sites from sequence☆14Updated 4 years ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆23Updated 2 years ago
- python tools for TCR:peptide-MHC modeling and analysis☆66Updated 7 months ago
- Detects hotspot regions for somatic mutations in 3D protein structures☆2Updated 8 months ago