Evidence map›Paper›PMID 20133683›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Capillarity theory for the fly-casting mechanism.

Emmanuel Trizac, Yaakov Levy, Peter G Wolynes

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. BAP1 is a novel regulator of HIF-1α.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Interplay of Affinity and Surface Tethering in Protein Recognition.The journal of physical chemistry letters · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016
    Review
  19. Article
  20. The new (dis)order in RNA regulation.Cell communication and signaling : CCS · 2016
    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

3 authors.

Emmanuel TrizacLaboratoire de Physique Théorique et Modéles Statistiques, Centre National de la Recherche Scientifique Unité Mixte de Recherche 8626, Université Paris-Sud, F-91405 Orsay Cedex, France.
Yaakov Levy
Peter G Wolynes

Funding

STRUCTURE AND STABILITY OF IKB/NF-KB COMPLEXESP01GM071862 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 2006 to 2016
$14.9M
NIGMS NIH HHS P01 GM071862NIGMS NIH HHS P01GM071862
6 · The paper itself

Abstract

Biomolecular folding and function are often coupled. During molecular recognition events, one of the binding partners may transiently or partially unfold, allowing more rapid access to a binding site. We describe a simple model for this fly-casting mechanism based on the capillarity approximation and polymer chain statistics. The model shows that fly casting is most effective when the protein unfolding barrier is small and the part of the chain which extends toward the target is relatively rigid. These features are often seen in known examples of fly casting in protein-DNA binding. Simulations of protein-DNA binding based on well-funneled native-topology models with electrostatic forces confirm the trends of the analytical theory.

Indexed as

Models, MolecularProtein BindingProtein FoldingBinding SitesCapillary ActionComputer SimulationDNAProteinsStatic ElectricityDNAProteins

Identifiers

PMID20133683
PMCPMC2840330

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.