Evidence map›Paper›PMID 18560762›Full record

ArticleJournal of biomolecular NMR2008

Mobility of TOAC spin-labelled peptides binding to the Src SH3 domain studied by paramagnetic NMR.

Hanna E Lindfors, Peter E de Koning, Jan Wouter Drijfhout, Brigida Venezia, Marcellus Ubbink

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomolecular NMR, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Visualizing transient dark states by NMR spectroscopy.Quarterly reviews of biophysics · 2015
    Article
  4. Article
  5. Article
  6. Article
  7. Review
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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

5 authors at 2 institutions in 1 country.

Hanna E LindforsLeiden Institute of Chemistry, Gorlaeus Laboratories, Leiden University, Leiden, The Netherlands.
Peter E de Koning
Jan Wouter Drijfhout
Brigida Venezia
Marcellus Ubbink
Leiden University · NLLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paramagnetic relaxation enhancement provides a tool for studying the dynamics as well as the structure of macromolecular complexes. The application of side-chain coupled spin-labels is limited by the mobility of the free radical. The cyclic, rigid amino acid spin-label TOAC (2,2,6,6-Tetramethylpiperidine-1-oxyl-4-amino-4-carboxylic acid), which can be incorporated straightforwardly by peptide synthesis, provides an attractive alternative. In this study, TOAC was incorporated into a peptide derived from focal adhesion kinase (FAK), and the interaction of the peptide with the Src homology 3 (SH3) domain of Src kinase was studied, using paramagnetic NMR. Placing TOAC within the binding motif of the peptide has a considerable effect on the peptide-protein binding, lowering the affinity substantially. When the TOAC is positioned just outside the binding motif, the binding constant remains nearly unaffected. Although the SH3 domain binds weakly and transiently to proline-rich peptides from FAK, the interaction is not very dynamic and the relative position of the spin-label to the protein is well-defined. It is concluded that TOAC can be used to generate reliable paramagnetic NMR restraints.

Indexed as

Nuclear Magnetic Resonance, BiomolecularSpin Labelssrc Homology DomainsAnimalsCyclic N-OxidesMagneticsMiceMolecular StructurePeptidesProtein Structure, Tertiary2,2,6,6-tetramethylpiperidine-N-oxide-4-amino-4-carboxylic acidCyclic N-OxidesPeptidesSpin Labels

Identifiers

PMID18560762
PMCPMC2480485
OpenAlexW2126274763

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.