Evidence map›Paper›PMID 39520055›Full record

ArticleBiophysical journal2024

Integration of kinetic data into affinity-based models for improved T cell specificity prediction.

Zahra S Ghoreyshi, Hamid Teimouri, Anatoly B Kolomeisky, Jason T George

Abstract read
In one paragraph

Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zahra S GhoreyshiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas; Center for Theoretical Biological Physics, Rice University, Houston, Texas.
Hamid TeimouriCenter for Theoretical Biological Physics, Rice University, Houston, Texas; Department of Chemistry, Rice University, Houston, Texas.
Anatoly B KolomeiskyCenter for Theoretical Biological Physics, Rice University, Houston, Texas; Department of Chemistry, Rice University, Houston, Texas; Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas. Electronic address: tolya@rice.edu.
Jason T GeorgeDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas; Center for Theoretical Biological Physics, Rice University, Houston, Texas. Electronic address: jason.george@tamu.edu.

Funding

Quantifying phenotypic adaptation of biological systems in dynamic environmentsR35GM155458 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Jason George · 2024 to 2026
$1.1M
NIGMS NIH HHS R35 GM155458
6 · The paper itself

Abstract

T cell receptor (TCR) and peptide-major histocompatibility complex (pMHC) interactions that result in T cell activation are complex and have been distinguished by their equilibrium affinity and kinetic profiles. While prior affinity-based models can successfully predict meaningful TCR-pMHC interactions in many cases, they occasionally fail at identifying TCR-pMHC interactions with low binding affinity. This study analyzes TCR-pMHC systems for which empirical kinetic and affinity data exist and prior affinity-based predictions have failed. We identify criteria for TCR-pMHC systems with available kinetic information where the introduction of a correction factor improves energy-based model predictions. This kinetic correction factor offers a means to refine existing models with additional data and offers molecular insights to help reconcile previously conflicting reports concerning the influence of TCR-pMHC binding kinetics and affinity on T cell activation.

Indexed as

Protein BindingReceptors, Antigen, T-CellT-LymphocytesHumansKineticsMajor Histocompatibility ComplexModels, BiologicalReceptors, Antigen, T-Cell

Identifiers

PMID39520055
PMCPMC11628827

What OpenQuestion holds

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Registered trials

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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.