Alternatives and similar repositories for ATM-TCR

Users that are interested in ATM-TCR are comparing it to the libraries listed below

• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated 2 months ago
• pmoris / ImRex
  Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes
  ☆16Updated 2 years ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆43Updated 2 years ago
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆32Updated 3 years ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆34Updated 3 years ago
• TencentAILabHealthcare / SC-AIR-BERT
  ☆9Updated 2 years ago
• schumacherlab / STAPLER
  STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…
  ☆26Updated last month
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆80Updated 2 years ago
• PaccMann / TITAN
  Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…
  ☆29Updated last year
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆68Updated 2 years ago
• xiongxslab / Translatomer
  ☆20Updated 3 months ago
• regeneron-mpds / TCRAI
  ☆17Updated 3 years ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆75Updated last year
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 2 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆37Updated 2 years ago
• bioinformatics-sannio / ncrna-deep
  Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"
  ☆15Updated 4 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆53Updated 3 years ago
• Abalign / Abalign
  A visualization software for antibody multi sequence alignment
  ☆18Updated 11 months ago
• XSLiuLab / TLimmuno2
  TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning
  ☆9Updated last year
• GfellerLab / PRIME
  PRedictor of IMmunogenic Epitopes
  ☆20Updated 2 weeks ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆46Updated 2 years ago
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆62Updated 9 months ago
• JiangBioLab / DLpTCR
  Predicting immunogenic peptide recognized by TCR through ensemble deep learning
  ☆15Updated last year
• emmijokinen / TCRGP
  TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequenc…
  ☆30Updated 2 years ago
• Genentech / Absolve
  Absolve antibody variable domain sequence analysis
  ☆16Updated 6 years ago
• castillohair / paper-5utr-design
  Code for "Optimizing 5’UTRs for mRNA-delivered gene editing using deep learning"
  ☆19Updated 11 months ago
• moss-lab / ScanFold
  ScanFold is an RNA sequence scanning pipeline which attempts to identify potentially functional RNA secondary structures. This is done by…
  ☆19Updated 2 years ago
• KarchinLab / bigmhc
  BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
  ☆53Updated last year
• ntranoslab / esm-variants
  ☆74Updated last year
• haiyuan-yu-lab / PIONEER
  ☆25Updated 5 months ago