Evidence map›Paper›PMID 31255294›Full record

ArticleBiophysical journal2019

Modeling pH-Dependent NMR Chemical Shift Perturbations in Peptides.

Efrosini Artikis, Charles L Brooks

Abstract read
In one paragraph

Article in Biophysical journal, 2019. 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. NMR-Based Quantification of Collagen Content in Protein Hydrolysates.Journal of agricultural and food chemistry · 2026
    Article
  2. Article
  3. Impact of solvent interactions onPhysical chemistry chemical physics : PCCP · 2022
    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

2 authors.

Efrosini ArtikisBiophysics Program, University of Michigan, Ann Arbor, Michigan.
Charles L BrooksBiophysics Program, University of Michigan, Ann Arbor, Michigan; Department of Chemistry, University of Michigan, Ann Arbor, Michigan. Electronic address: brookscl@umich.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling the pH dependence of protein and peptide chemical shifts outside the range of physiological values (6.5-7) is key to understanding structure-function relationships of these systems. These capabilities are largely not available in current chemical shift prediction software. In this study, we utilize a combination of molecular dynamics and quantum mechanics to investigate the through-space and through-bond contributions of protonation-dependent chemical shift perturbations (CSPs) in model tripeptides. By altering the protonation state of the titratable group in the tripeptides, we observe a notable difference in the conformational ensembles and attendantly compute significant CSPs for all nuclei near the site of protonation. We thus demonstrate the ability to recapitulate experimental pH-dependent CSPs with good agreement (R = 0.85, 0.99, and 0.98 for

Indexed as

Magnetic Resonance SpectroscopyModels, MolecularHydrogen-Ion ConcentrationMolecular Dynamics SimulationNitrogen IsotopesPeptidesProtein ConformationProtonsNitrogen-15Nitrogen IsotopesPeptidesProtons

Identifiers

PMID31255294
PMCPMC6700603

What OpenQuestion holds

Textmetadata
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.