Evidence map›Paper›PMID 26791975›Full record

ArticleMethods in enzymology2016

A Semiautomated Assignment Protocol for Methyl Group Side Chains in Large Proteins.

Jonggul Kim, Yingjie Wang, Geoffrey Li, Gianluigi Veglia

Abstract read
In one paragraph

Article in Methods in enzymology, 2016. 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

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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

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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. Facilitating NMR Resonance Assignment with Metabolic Tampering.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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

4 authors.

Jonggul KimDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota, USA.
Yingjie WangDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota, USA.
Geoffrey LiDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota, USA.
Gianluigi VegliaDepartment of Chemistry, University of Minnesota, Minneapolis, Minnesota, USA; Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA. Electronic address: vegli001@umn.edu.

Funding

TRAINING PROGRAM IN MUSCLE RESEARCHT32AR007612 · NIAMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JAMES M ERVASTI, DAWN A LOWE · 2001 to 2026
$11.3M
Mapping Allosteric Cooperativity in Protein KinasesR01GM100310 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2012 to 2019
$4.3M
Structural Basis Of Dilated CardiomyopathyR01GM072701 · NIGMS · UNIVERSITY OF MINNESOTA · PI VEGLIA, GIANLUIGI · 2007 to 2015
$2.4M
NIAMS NIH HHS T32 AR007612NIGMS NIH HHS GM100310NIGMS NIH HHS GM72701NIGMS NIH HHS R01 GM072701NIGMS NIH HHS R01 GM100310
6 · The paper itself

Abstract

The developments of biosynthetic specific labeling strategies for side-chain methyl groups have allowed structural and dynamic characterization of very large proteins and protein complexes. However, the assignment of the methyl-group resonances remains an Achilles' heel for NMR, as the experiments designed to correlate side chains to the protein backbone become rather insensitive with the increase of the transverse relaxation rates. In this chapter, we outline a semiempirical approach to assign the resonances of methyl-group side chains in large proteins. This method requires a crystal structure or an NMR ensemble of conformers as an input, together with NMR data sets such as nuclear Overhauser effects (NOEs) and paramagnetic relaxation enhancements (PREs), to be implemented in a computational protocol that provides a probabilistic assignment of methyl-group resonances. As an example, we report the protocol used in our laboratory to assign the side chains of the 42-kDa catalytic subunit of the cAMP-dependent protein kinase A. Although we emphasize the labeling of isoleucine, leucine, and valine residues, this method is applicable to other methyl group side chains such as those of alanine, methionine, and threonine, as well as reductively methylated cysteine side chains.

Indexed as

Protein ConformationCatalytic DomainMagnetic Resonance SpectroscopyModels, MolecularNuclear Magnetic Resonance, BiomolecularProteinsProteinsAuto-assignment of methyl groupsLarge systemsMethyl labelingProtein kinase AProtein NMRSide-chain assignment

Identifiers

PMID26791975
PMCPMC5040217

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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.