Evidence map›Paper›PMID 22329658›Full record

ArticleThe journal of physical chemistry. B2012

Improved atomistic Monte Carlo simulations demonstrate that poly-L-proline adopts heterogeneous ensembles of conformations of semi-rigid segments interrupted by kinks.

Aditya Radhakrishnan, Andreas Vitalis, Albert H Mao, Adam T Steffen, Rohit V Pappu

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. An Unbound Proline-Rich Signaling Peptide Frequently SamplesFrontiers in molecular biosciences · 2021
    Article
  9. Article
  10. Amino acid homorepeats in proteins.Nature reviews. Chemistry · 2020
    Review
  11. Article
  12. Article
  13. The journal of physical chemistry. B · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  20. 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.

Aditya RadhakrishnanDepartment of Biomedical Engineering, Washington University in St. Louis, One Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130, USA.
Andreas Vitalis
Albert H Mao
Adam T Steffen
Rohit V Pappu

Funding

ROLE OF CHAIN LENGTH AND SEQUENCE CONTEXTS ON POLYGLUTAMINE OLIGOMERIZATIONR01NS056114 · NINDS · WASHINGTON UNIVERSITY · PI PAPPU, ROHIT V · 2007 to 2020
$4.4M
NINDS NIH HHS 5R01NS056114NINDS NIH HHS R01 NS056114
6 · The paper itself

Abstract

Poly-L-proline (PLP) polymers are useful mimics of biologically relevant proline-rich sequences. Biophysical and computational studies of PLP polymers in aqueous solutions are challenging because of the diversity of length scales and the slow time scales for conformational conversions. We describe an atomistic simulation approach that combines an improved ABSINTH implicit solvation model, with conformational sampling based on standard and novel Metropolis Monte Carlo moves. Refinements to forcefield parameters were guided by published experimental data for proline-rich systems. We assessed the validity of our simulation results through quantitative comparisons to experimental data that were not used in refining the forcefield parameters. Our analysis shows that PLP polymers form heterogeneous ensembles of conformations characterized by semirigid, rod-like segments interrupted by kinks, which result from a combination of internal cis peptide bonds, flexible backbone ψ angles, and the coupling between ring puckering and backbone degrees of freedom.

Indexed as

Molecular Dynamics SimulationMonte Carlo MethodPeptidesProtein ConformationPeptidespolyproline

Identifiers

PMID22329658
PMCPMC3376247

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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.