Evidence map›Paper›PMID 42191216›Full record

ArticleACS chemical biology2026

Systematic Evaluation of Peptidomimetic Modifications in a Major Histocompatibility Complex Class I Model Epitope: A Framework for Immunogenic Antigen Design.

Sarah E Newkirk, Joey J Kelly, Nita Hourn, Sobika Bhandari, Naomi Spencer, Marcos M Pires

Abstract read
In one paragraph

Article in ACS chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

6 authors.

Sarah E NewkirkDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.ORCID 0009-0008-0067-6138
Joey J KellyDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.
Nita HournDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.
Sobika BhandariDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.
Naomi SpencerDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.
Marcos M PiresDepartment of Chemistry, University of Virginia, Charlottesville, Virginia22904, United States.ORCID 0000-0002-5676-0725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide-based cancer vaccines offer a promising strategy for targeting tumor-specific neoantigens. This approach is increasingly critical as post-translationally modified peptides, driven by altered tumor metabolism, emerge as a unique class of neoantigens. Because these chemically distinct epitopes cannot be genetically encoded by mRNA or viral platforms, synthetic peptide vaccines are poised to be the primary route to targeting these types of neoantigens. Yet, their clinical translation is restricted by poor metabolic stability, limited intracellular permeability, and structural requirements for MHC-I binding and T cell receptor recognition. Although peptidomimetic modifications have been widely explored to improve pharmacokinetics, their impact on antigen presentation and immune recognition remains poorly understood. Here, we undertook a comprehensive evaluation of peptidomimetic modifications within a model MHC-I epitope from ovalbumin (OVA), SIINFEKL, generating a diverse library of systematically modified peptides that incorporate backbone

Indexed as

EpitopesHistocompatibility Antigens Class IPeptidomimeticsAnimalsMiceOvalbuminPeptide FragmentsProtein Subunit VaccinesEpitopesHistocompatibility Antigens Class IOVA-8OvalbuminPeptide FragmentsPeptidomimeticsProtein Subunit Vaccines

Identifiers

PMID42191216
PMCPMC13288458

What OpenQuestion holds

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LicenceCC BY
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.