Evidence map›Paper›PMID 19772349›Full record

ArticleBiochemistry2009

A general and efficient approach for NMR studies of peptide dynamics in class I MHC peptide binding grooves.

Francis K Insaidoo, Jaroslav Zajicek, Brian M Baker

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  10. Frontiers in immunology · 2018
    Article
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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

3 authors at 1 institution in 1 country.

Francis K InsaidooDepartment of Chemistry and Biochemistry and Walther Cancer Research Center, 251 Nieuwland Science Hall, University of Notre Dame, Notre Dame, Indiana 46556, USA.
Jaroslav Zajicek
Brian M Baker
University of Notre Dame · US

Funding

Chemistry-Biochemistry-Biology Training Program at Notre DameT32GM075762 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CHANG, MAYLAND F, MOBASHERY, SHAHRIAR · 2007 to 2021
$3.7M
NIGMS NIH HHS T32 GM075762NIGMS NIH HHS T32GM075762
6 · The paper itself

Abstract

T-Cell receptor recognition of peptides bound by major histocompatibility complex (MHC) proteins initiates a cellular immune response. Dynamics of peptides within MHC binding grooves can influence TCR recognition, yet NMR studies which could address this rigorously have been hindered by the expense of isotopically labeled peptides and the large size of peptide-MHC complexes. Here we describe a methodology for characterizing peptide dynamics within MHC binding grooves via NMR, using a biosynthetic approach for producing labeled peptide. With the Tax(11-19) peptide bound to the human class I MHC HLA-A*0201, we demonstrate that peptide generated in this manner can be well characterized in MHC binding grooves by NMR, providing opportunities to more precisely study the role of peptide dynamics in TCR recognition. Demonstrating the utility of such studies, the data with the Tax(11-19) peptide indicate the presence of slow conformational exchange in the peptide, supporting an "induced-fit" style TCR binding mechanism.

Indexed as

Amino Acid SequenceBinding SitesCarbon IsotopesGene Products, taxHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansIsotope LabelingMagnetic Resonance SpectroscopyMajor Histocompatibility ComplexModels, MolecularOligopeptidesProtein ConformationReceptors, Antigen, T-CellCarbon IsotopesGene Products, taxHistocompatibility Antigens Class IHistocompatibility Antigens Class IIleucyl-leucyl-phenylalanyl-glycyl-tyrosyl-prolyl-valyl-tyrosyl-valineOligopeptidesReceptors, Antigen, T-Cell

Identifiers

PMID19772349
PMCPMC2762276
OpenAlexW2076123723

What OpenQuestion holds

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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.