Evidence map›Paper›PMID 41676605›Full record

ArticlebioRxiv : the preprint server for biology2026

A biophysical framework for accurately identifying antigen single-amino acid escape variants and corresponding variant-specific compensatory TCR sequences.

Zahra S Ghoreyshi, Herbert Levine, Xingcheng Lin, José N Onuchic, Jason T George

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Zahra S GhoreyshiDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.
Herbert LevineCenter for Theoretical Biological Physics, Northeastern University, Boston, MA, USA.
Xingcheng LinDepartment of Physics, North Carolina State University, Raleigh, NC, USA.
José N OnuchicCenter for Theoretical Biological Physics, Rice University, Houston, TX, USA.
Jason T GeorgeDepartment of Biomedical Engineering, Texas A&M University, College Station, TX, USA.ORCID 0000-0002-8248-2888

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

The impact of single amino acid substitution on T-cell receptor (TCR) recognition is central to understanding the molecular determinants of TCR specificity and degeneracy during viral mutational escape, cancer recognition, and autoimmunity. In this study, we developed a biophysics-informed computational approach integrating experimental alanine-scan mutagenesis data from the autoimmune-associated ALWGPDPAAA peptide bound to HLA-A*02:01 together with coarse-grained structural modeling. Our approach reconstructs the energetics and structural determinants underpinning the observed loss of recognition by the diabetogenic 1E6 TCR upon single-point mutations, specifically at the critical Pro

Identifiers

PMID41676605
PMCPMC12889708

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.