Evidence map›Paper›PMID 23113791›Full record

ArticleJournal of the American Chemical Society2012

Parallel β-sheet vibrational couplings revealed by 2D IR spectroscopy of an isotopically labeled macrocycle: quantitative benchmark for the interpretation of amyloid and protein infrared spectra.

Ann Marie Woys, Aaron M Almeida, Lu Wang, Chi-Cheng Chiu, Michael McGovern, Juan J de Pablo, James L Skinner, Samuel H Gellman, Martin T Zanni

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 97 citations in OpenAlex.

  1. Review
  2. Mammals that can develop type 2 diabetes have a similarly structured β-sheet amyloid oligomer.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Water inside the Selectivity Filter of a KJournal of the American Chemical Society · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. AIM: A Mapping Program for Infrared Spectroscopy of Proteins.Journal of chemical theory and computation · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Membrane-dependent amyloid aggregation of human BAX α9 (173-192).Protein science : a publication of the Protein Society · 2021
    Article
  19. Article
  20. Review
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

9 authors at 1 institution in 1 country.

Ann Marie WoysDepartment of Chemistry, University of Wisconsin, Madison, Wisconsin 53706, USA.
Aaron M Almeida
Lu Wang
Chi-Cheng Chiu
Michael McGovern
Juan J de Pablo
James L Skinner
Samuel H Gellman
Martin T Zanni
University of Wisconsin–Madison · US

Funding

Use of designed peptides to study folding and bindingR01GM061238 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GELLMAN, SAMUEL H. · 2000 to 2023
$7.9M
Structural mechanism of diabetic amyloid formationR01DK079895 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI Martin T Zanni · 2008 to 2026
$7.7M
NIDDK NIH HHS DK79895NIDDK NIH HHS R01 DK079895NIGMS NIH HHS R01 GM061238
6 · The paper itself

Abstract

Infrared spectroscopy is playing an important role in the elucidation of amyloid fiber formation, but the coupling models that link spectra to structure are not well tested for parallel β-sheets. Using a synthetic macrocycle that enforces a two stranded parallel β-sheet conformation, we measured the lifetimes and frequency for six combinations of doubly (13)C═(18)O labeled amide I modes using 2D IR spectroscopy. The average vibrational lifetime of the isotope labeled residues was 550 fs. The frequencies of the labels ranged from 1585 to 1595 cm(-1), with the largest frequency shift occurring for in-register amino acids. The 2D IR spectra of the coupled isotope labels were calculated from molecular dynamics simulations of a series of macrocycle structures generated from replica exchange dynamics to fully sample the conformational distribution. The models used to simulate the spectra include through-space coupling, through-bond coupling, and local frequency shifts caused by environment electrostatics and hydrogen bonding. The calculated spectra predict the line widths and frequencies nearly quantitatively. Historically, the characteristic features of β-sheet infrared spectra have been attributed to through-space couplings such as transition dipole coupling. We find that frequency shifts of the local carbonyl groups due to nearest neighbor couplings and environmental factors are more important, while the through-space couplings dictate the spectral intensities. As a result, the characteristic absorption spectra empirically used for decades to assign parallel β-sheet secondary structure arises because of a redistribution of oscillator strength, but the through-space couplings do not themselves dramatically alter the frequency distribution of eigenstates much more than already exists in random coil structures. Moreover, solvent exposed residues have amide I bands with >20 cm(-1) line width. Narrower line widths indicate that the amide I backbone is solvent protected inside the macrocycle. This work provides calculated and experimentally verified couplings for parallel β-sheets that can be used in structure-based models to simulate and interpret the infrared spectra of β-sheet containing proteins and protein assemblies, such as amyloid fibers.

Indexed as

VibrationAmyloidMacrocyclic CompoundsModels, MolecularMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularProteinsSpectrophotometry, InfraredAmyloidMacrocyclic CompoundsProteins

Identifiers

PMID23113791
PMCPMC3523199
OpenAlexW2026924008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.