Evidence map›Paper›PMID 24759934›Full record

ReviewChemical Society reviews2014

The OPEP protein model: from single molecules, amyloid formation, crowding and hydrodynamics to DNA/RNA systems.

Fabio Sterpone, Simone Melchionna, Pierre Tuffery, Samuela Pasquali, Normand Mousseau, Tristan Cragnolini, Yassmine Chebaro, Jean-Francois St-Pierre, Maria Kalimeri, Alessandro Barducci and 5 more

Abstract readReview
In one paragraph

Review in Chemical Society reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Mapping the configurational landscape and aggregation phase behavior of the tau protein fragment PHF6.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Top-Down Machine Learning of Coarse-Grained Protein Force Fields.Journal of chemical theory and computation · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Article
  18. 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

15 authors.

Fabio SterponeLaboratoire de Biochimie Théorique, UPR 9080 CNRS, Université Paris Diderot, Sorbonne Paris Cité, IBPC, 13 rue Pierre et Marie Curie, 75005, Paris, France. Fabio.sterpone@ibpc.fr samuela.pasquali@ibpc.fr Tristan.cragnolini@ibpc.fr maria.kalimeri@ibpc.fr yoann.laurin@ibpc.fr marc.baaden@ibpc.fr phuong.nguyen@ibpc.fr.
Simone Melchionna
Pierre Tuffery
Samuela Pasquali
Normand Mousseau
Tristan Cragnolini
Yassmine Chebaro
Jean-Francois St-Pierre
Maria Kalimeri
Alessandro Barducci
Yoann Laurin
Alex Tek
Marc Baaden
Phuong Hoang Nguyen
Philippe Derreumaux

Funding

European Research Council 258748
6 · The paper itself

Abstract

The OPEP coarse-grained protein model has been applied to a wide range of applications since its first release 15 years ago. The model, which combines energetic and structural accuracy and chemical specificity, allows the study of single protein properties, DNA-RNA complexes, amyloid fibril formation and protein suspensions in a crowded environment. Here we first review the current state of the model and the most exciting applications using advanced conformational sampling methods. We then present the current limitations and a perspective on the ongoing developments.

Indexed as

Models, MolecularAmyloidDNAProteinsRNAAmyloidDNAProteinsRNA

Identifiers

PMID24759934
PMCPMC4426487

What OpenQuestion holds

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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.