ArticleProteins2020
Geometrical characterization of T cell receptor binding modes reveals class-specific binding to maximize access to antigen.
Article in Proteins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 33 citations in OpenAlex.
- Structure-based TCR-pMHC binding prediction and generalization to unseen peptides.npj drug discovery · 2026Article
- TCR-FramePose: a local-frame representation for decomposing global docking and CDR3 loop geometry in TCR-pMHC recognition.bioRxiv : the preprint server for biology · 2026Article
- Generation and MHC class II loading of an endogenous influenza epitope revealed by a T cell receptor-like antibody.bioRxiv : the preprint server for biology · 2026Article
- Article
- STCRpy: a software suite for T-cell receptor structure parsing, interaction profiling, and machine learning dataset preparation.Bioinformatics (Oxford, England) · 2025Article
- A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens.Structure (London, England : 1993) · 2025Article
- The role of peptide conformation presented by MHC in the induction of TCR triggering.Biophysical journal · 2025Article
- The Evolving T Cell Receptor Recognition Code: The Rules Are More Like Guidelines.Immunological reviews · 2025Review
- Strengths and limitations of web servers for the modeling of TCRpMHC complexes.Computational and structural biotechnology journal · 2024Article
- Molecular basis for antibody recognition of multiple drug-peptide/MHC complexes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Can AlphaFold's breakthrough in protein structure help decode the fundamental principles of adaptive cellular immunity?Nature methods · 2024Review
- Structure, function, and immunomodulation of the CD8 co-receptor.Frontiers in immunology · 2024Review
- T-cell virtuosity in ''knowing thyself".Frontiers in immunology · 2024Review
- Assessing the immunogenicity risk of salmon calcitonin peptide impurities usingFrontiers in pharmacology · 2024Article
- Development and characterization of human T-cell receptor (TCR) alpha and beta clones' library as biological standards and resources for TCR sequencing and engineering.Biology methods & protocols · 2024Article
- TCR sequencing: applications in immuno-oncology research.Immuno-oncology technology · 2023Review
- A class-mismatched TCR bypasses MHC restriction via an unorthodox but fully functional binding geometry.Nature communications · 2022Article
- Article
- Validation and promise of a TCR mimic antibody for cancer immunotherapy of hepatocellular carcinoma.Scientific reports · 2022Article
- Engineering the T cell receptor for fun and profit: Uncovering complex biology, interrogating the immune system, and targeting disease.Current opinion in structural biology · 2022Review
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
Recognition of antigenic peptides bound to major histocompatibility complex (MHC) proteins by αβ T cell receptors (TCRs) is a hallmark of T cell mediated immunity. Recent data suggest that variations in TCR binding geometry may influence T cell signaling, which could help explain outliers in relationships between physical parameters such as TCR-pMHC binding affinity and T cell function. Traditionally, TCR binding geometry has been described with simple descriptors such as the crossing angle, which quantifies what has become known as the TCR's diagonal binding mode. However, these descriptors often fail to reveal distinctions in binding geometry that are apparent through visual inspection. To provide a better framework for relating TCR structure to T cell function, we developed a comprehensive system for quantifying the geometries of how TCRs bind peptide/MHC complexes. We show that our system can discern differences not clearly revealed by more common methods. As an example of its potential to impact biology, we used it to reveal differences in how TCRs bind class I and class II peptide/MHC complexes, which we show allow the TCR to maximize access to and "read out" the peptide antigen. We anticipate our system will be of use in not only exploring these and other details of TCR-peptide/MHC binding interactions, but also addressing questions about how TCR binding geometry relates to T cell function, as well as modeling structural properties of class I and class II TCR-peptide/MHC complexes from sequence information. The system is available at https://tcr3d.ibbr.umd.edu/tcr_com or for download as a script.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.