Evidence map›Paper›PMID 28197404›Full record

ArticleFrontiers in molecular biosciences2017

Using Global Analysis to Extend the Accuracy and Precision of Binding Measurements with T cell Receptors and Their Peptide/MHC Ligands.

Sydney J Blevins, Brian M Baker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. HLA micropolymorphisms confine neoantigen conformational adaptability and guide T cell receptor selectivity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Tumor rejection properties of gp100Molecular immunology · 2021
    Article
  6. Article
  7. Structurally silent peptide anchor modifications allosterically modulate T cell recognition in a receptor-dependent manner.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
  9. Article
  10. Improving T Cell Receptor On-Target Specificity via Structure-Guided Design.Molecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

2 authors at 1 institution in 1 country.

Sydney J BlevinsDepartment of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame Notre Dame, IN, USA.
Brian M BakerDepartment of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame Notre Dame, IN, USA.
University of Notre Dame · US

Funding

Structural biophysics and molecular design in cellular immunityR35GM118166 · NIGMS · UNIVERSITY OF NOTRE DAME · PI BAKER, BRIAN M · 2016 to 2025
$4.4M
NIGMS NIH HHS R35 GM118166
6 · The paper itself

Abstract

In cellular immunity, clonally distributed T cell receptors (TCRs) engage complexes of peptides bound to major histocompatibility complex proteins (pMHCs). In the interactions of TCRs with pMHCs, regions of restricted and variable diversity align in a structurally complex fashion. Many studies have used mutagenesis to attempt to understand the "roles" played by various interface components in determining TCR recognition properties such as specificity and cross-reactivity. However, these measurements are often complicated or even compromised by the weak affinities TCRs maintain toward pMHC. Here, we demonstrate how global analysis of multiple datasets can be used to significantly extend the accuracy and precision of such TCR binding experiments. Application of this approach should positively impact efforts to understand TCR recognition and facilitate the creation of mutational databases to help engineer TCRs with tuned molecular recognition properties. We also show how global analysis can be used to analyze double mutant cycles in TCR-pMHC interfaces, which can lead to new insights into immune recognition.

Indexed as

bindingdouble mutant cycleglobal analysismutagenesispeptide/MHCT cell receptor

Identifiers

PMID28197404
PMCPMC5281623
OpenAlexW2582634194

What OpenQuestion holds

Textmetadata
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.