Evidence map›Paper›PMID 29744827›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2018

Solid-State NMR Structural Characterization of Self-Assembled Peptides with Selective

Danting Huang, Benjamin C Hudson, Yuan Gao, Evan K Roberts, Anant K Paravastu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Danting HuangSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Benjamin C HudsonSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Yuan GaoSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Evan K RobertsSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Anant K ParavastuSchool of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA. anant.paravastu@chbe.gatech.edu.

Funding

Solid State NMR Structural Analysis of Oligomeric Alzheimer's Beta-Amyloid PeptideR01AG045703 · NIA · GEORGIA INSTITUTE OF TECHNOLOGY · PI PARAVASTU, ANANT KRISHNA · 2014 to 2018
$1.5M
NIA NIH HHS R01 AG045703
6 · The paper itself

Abstract

For the structural characterization methods discussed here, information on molecular conformation and intermolecular organization within nanostructured peptide assemblies is discerned through analysis of solid-state NMR spectral features. This chapter reviews general NMR methodologies, requirements for sample preparation, and specific descriptions of key experiments. An attempt is made to explain choices of solid-state NMR experiments and interpretation of results in a way that is approachable to a nonspecialist. Measurements are designed to determine precise NMR peak positions and line widths, which are correlated with secondary structures, and probe nuclear spin-spin interactions that report on three-dimensional organization of atoms. The formulation of molecular structural models requires rationalization of data sets obtained from multiple NMR experiments on samples with carefully chosen

Indexed as

Magnetic Resonance SpectroscopyMolecular StructureCarbon-13 Magnetic Resonance SpectroscopyIsotope LabelingNanofibersNitrogen IsotopesPeptidesNitrogen IsotopesPeptidesDipolar redoublingSelective isotopic labelingSelf-assembling peptideSolid-state NMRTwo-dimensional NMR

Identifiers

PMID29744827
PMCPMC7490753

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.