Evidence map›Paper›PMID 38830621›Full record

ArticleJournal of chemical theory and computation2024

Effects of Phosphorylation on Protein Backbone Dynamics and Conformational Preferences.

David Bickel, Wim Vranken

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. RNA polymerase II: the elephant in the room.Trends in genetics : TIG · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Intrinsically Disordered Peptide Nanofibers from a Structured Motif Within Proteins.Angewandte Chemie (International ed. in English) · 2025
    Article
  14. 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

2 authors.

David BickelInteruniversity Institute of Bioinformatics in Brussels, 1050 Brussels, Belgium.ORCID 0000-0003-0332-8338
Wim VrankenInteruniversity Institute of Bioinformatics in Brussels, 1050 Brussels, Belgium.ORCID 0000-0001-7470-4324

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphorylations are the most common and extensively studied post-translational modification (PTM) of proteins in eukaryotes. They constitute a major regulatory mechanism, modulating protein function, protein-protein interactions, as well as subcellular localization. Phosphorylation sites are preferably located in intrinsically disordered regions and have been shown to trigger structural rearrangements and order-to-disorder transitions. They can therefore have a significant effect on protein backbone dynamics or conformation, but only sparse experimental data are available. To obtain a more general description of how and when phosphorylations have a significant effect on protein behavior, molecular dynamics (MD) currently provides the only suitable framework to study these effects at a large scale in atomistic detail. This study develops a systematic MD simulation framework to explore the influence of phosphorylations on the local backbone dynamics and conformational propensities of proteins. Through a series of glycine-backbone peptides, we studied the effects of amino acid residues including the three most common phosphorylations (Ser, Thr, and Tyr), on local backbone dynamics and conformational propensities. We further extended our study to investigate the interactions of all such residues between position

Indexed as

Molecular Dynamics SimulationProtein ConformationProteinsPeptidesPhosphorylationPeptidesProteins

Identifiers

PMID38830621
PMCPMC11210476

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.