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References from THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applications. Local targets link to admitted publications; unresolved targets remain external evidence.
CD8(+) T cells: foot soldiers of the immune system
10.1016/j.immuni.2011.07.010 · 2011 · External reference
Advances in the development of personalized neoantigen-based therapeutic cancer vaccines
10.1038/s41571-020-00460-2 · 2021 · External reference
Neoantigen prediction and computational perspectives towards clinical benefit: recommendations from the ESMO Precision Medicine Working Group
10.1016/j.annonc.2020.05.008 · 2020 · External reference
Neoantigens in cancer immunotherapy
10.1126/science.aaa4971 · 2015 · External reference
Classical hodgkin lymphoma with reduced β2M/MHC Class I Expression Is Associated with Inferior Outcome Independent of 9p24.1 Status
10.1158/2326-6066.cir-16-0201 · 2016 · External reference
CD8(+) T cells in human autoimmune arthritis: the unusual suspects
10.1038/nrrheum.2016.74 · 2016 · External reference
Personalized vaccines for cancer immunotherapy
10.1126/science.aar7112 · 2018 · External reference
CD8+ T cell metabolism in infection and cancer
10.1038/s41577-021-00537-8 · 2021 · External reference
Cytotoxic CD8+ T cells in cancer and cancer immunotherapy
10.1038/s41416-020-01048-4 · 2021 · External reference
CD8+ T cell differentiation and dysfunction in cancer
10.1038/s41577-021-00574-3 · 2022 · External reference
CD8+ T cell activation is governed by TCR-peptide/MHC affinity, not dissociation rate
10.4049/jimmunol.179.5.2952 · 2007 · External reference
Towards personalized, tumour-specific, therapeutic vaccines for cancer
10.1038/nri.2017.131 · 2018 · External reference
Therapeutic cancer vaccines
10.1038/s41568-021-00346-0 · 2021 · External reference
T cell antigen discovery via signaling and antigen-presenting bifunctional receptors
10.1038/s41592-018-0304-8 · 2019 · External reference
Neoantigens: promising targets for cancer therapy
10.1038/s41392-022-01270-x · 2023 · External reference
The T cell receptor repertoire of tumor infiltrating T cells is predictive and prognostic for cancer survival
10.1038/s41467-021-24343-x · 2021 · External reference
High-throughput and single-cell T cell receptor sequencing technologies
10.1038/s41592-021-01201-8 · 2021 · External reference
Hotspot autoimmune T cell receptor binding underlies pathogen and insulin peptide cross-reactivity
10.1172/jci85679 · 2016 · External reference
High-throughput determination of the antigen specificities of T cell receptors in single cells
10.1038/nbt.4282 · 2018 · External reference
Adoptive cellular therapy
2010 · External reference
Fundamental mechanisms of immune checkpoint blockade therapy
10.1158/2159-8290.cd-18-0367 · 2018 · External reference
An immunogenic personal neoantigen vaccine for patients with melanoma
10.1038/nature22991 · 2017 · External reference
The landscape of T cell antigens for cancer immunotherapy
10.1038/s43018-023-00588-x · 2023 · External reference
Antigen presentation in cancer: insights into tumour immunogenicity and immune evasion
10.1038/s41568-021-00339-z · 2021 · External reference
Can we predict T cell specificity with digital biology and machine learning?
10.1038/s41577-023-00835-3 · 2023 · External reference
TCR meta-clonotypes for biomarker discovery with tcrdist3 enabled identification of public, HLA-restricted clusters of SARS-CoV-2 TCRs
10.7554/elife.68605 · 2021 · External reference
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
10.1038/s41467-021-21879-w · 2021 · External reference
GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation
10.1038/s41467-021-25006-7 · 2021 · External reference
Analyzing the Mycobacterium tuberculosis immune response by T-cell receptor clustering with GLIPH2 and genome-wide antigen screening
10.1038/s41587-020-0505-4 · 2020 · External reference
Predicting recognition between T cell receptors and epitopes with TCRGP
10.1371/journal.pcbi.1008814 · 2021 · External reference
Detection of enriched T cell epitope specificity in full T cell receptor sequence repertoires
10.3389/fimmu.2019.02820 · 2019 · External reference
NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data
10.1038/s42003-021-02610-3 · 2021 · External reference
Deep learning-based prediction of the T cell receptor-antigen binding specificity
10.1038/s42256-021-00383-2 · 2021 · External reference
Pan-peptide meta learning for T-cell receptor–antigen binding recognition
10.1038/s42256-023-00619-3 · 2023 · External reference
Accurate TCR-pMHC interaction prediction using a BERT-based transfer learning method
2024 · External reference
DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor
2021 · External reference
TITAN: T-cell receptor specificity prediction with bimodal attention networks
10.1093/bioinformatics/btab294 · 2021 · External reference
Evolutionary-scale prediction of atomic-level protein structure with a language model
10.1126/science.ade2574 · 2023 · External reference
The Immune Epitope Database (IEDB): 2018 update
10.1093/nar/gky1006 · 2019 · External reference
VDJdb in the pandemic era: a compendium of T cell receptors specific for SARS-CoV-2
10.1038/s41592-022-01578-0 · 2022 · External reference
McPAS-TCR: a manually curated catalogue of pathology-associated T cell receptor sequences
10.1093/bioinformatics/btx286 · 2017 · External reference
Structure of a B-DNA dodecamer: conformation and dynamics
10.1073/pnas.78.4.2179 · 1981 · External reference
10.1145/2945292.2945324
10.1145/2945292.2945324 · External reference
Landscape of immunogenic tumor antigens in successful immunotherapy of virally induced epithelial cancer
10.1126/science.aak9510 · 2017 · External reference
Immunogenicity of somatic mutations in human gastrointestinal cancers
10.1126/science.aad1253 · 2015 · External reference
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses
10.1093/bib/bbae302 · 2024 · External reference
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy
2024 · External reference
Bilinear attention networks
2018 · External reference
Interpretable bilinear attention network with domain adaptation improves drug–target prediction
10.1038/s42256-022-00605-1 · 2023 · External reference
NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence
10.1371/journal.pone.0000796 · 2007 · External reference
Logomaker: beautiful sequence logos in Python
10.1093/bioinformatics/btz921 · 2020 · External reference
Identification of cytotoxic T cells and their T cell receptor sequences targeting COVID-19 using MHC class I-binding peptides
10.1038/s10038-022-01013-4 · 2022 · External reference
Asymptomatic SARS-CoV-2 linked to HLA-B*15:01
10.1038/s41577-023-00925-2 · 2023 · External reference
Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides
10.1038/s41586-022-05501-7 · 2022 · External reference
