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Updated: Nov 1, 2025

09:47
Generation of Human Alloantigen-specific T Cells from Peripheral Blood
Published on: November 21, 2014
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[In silico specificity determination of neoantigen-reactive T-lymphocytes]
A E Kniga1, I V Polyakov1, A V Nemukhin1
1M.V. Lomonosov Moscow State University, Moscow, Russia; N.M. Emanuel Institute of Biochemical Physics RAS, Moscow, Russia.
Biomeditsinskaia Khimiia
|June 18, 2021
Summary
Future personalized immunotherapies require understanding both tumor and immune response specifics. This study develops structure-based models to predict T cell-tumor interactions, improving upon sequence-based methods for better cancer recognition.
Area of Science:
- Computational Biology
- Immunology
- Structural Biology
Background:
- Personalized immunotherapies demand comprehensive understanding of tumor-specific immune responses.
- Predicting T cell receptor (TCR) and peptide-MHC (pMHC) interactions is crucial for effective immunotherapy design.
Purpose of the Study:
- To develop and validate structure-based computational models for predicting TCR-pMHC interactions.
- To identify key structural and energetic features governing T cell-mediated tumor recognition.
Main Methods:
- In vitro high-throughput specificity assays were used to generate data.
- Comparative modeling of TCR-pMHC complexes was performed using molecular docking.
- All-atom models of pairwise TCR-pMHC combinations were constructed.
- Physics-based scores were calculated and used to train binary classifiers.
Main Results:
- Structure-based classifiers demonstrated superior performance compared to sequence-based methods.
- Key energetic terms and structural features characterizing T cell-tumor interactions were identified.
- The models accurately predict the specificity of T cell recognition.
Conclusions:
- Computational modeling of TCR-pMHC complexes offers a powerful approach for predicting immune recognition.
- These structure-based insights can guide the development of more effective personalized immunotherapies.
- Understanding the structural basis of T cell-tumor interactions is vital for advancing cancer immunology.

