Evidence map›Paper›PMID 19223165›Full record

ReviewCurrent opinion in cell biology2009

The structural dynamics of macromolecular processes.

Daniel Russel, Keren Lasker, Jeremy Phillips, Dina Schneidman-Duhovny, Javier A Velázquez-Muriel, Andrej Sali

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Tutorial on integrative spatiotemporal modeling by integrative modeling platform.Protein science : a publication of the Protein Society · 2025
    Article
  3. Integrative spatiotemporal modeling of biomolecular processes: Application to the assembly of the nuclear pore complex.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Entropic control of the free-energy landscape of an archetypal biomolecular machine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Integrative structure modeling with the Integrative Modeling Platform.Protein science : a publication of the Protein Society · 2018
    Article
  12. Review
  13. The interactome challenge.The Journal of cell biology · 2015
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

6 authors.

Daniel RusselDepartment of Bioengineering and Therapeutic Sciences, University of California at San Francisco, 1700 4th Street, San Francisco, CA 94158-2330, USA.
Keren Lasker
Jeremy Phillips
Dina Schneidman-Duhovny
Javier A Velázquez-Muriel
Andrej Sali

Funding

Center for Protein Folding Machinery (RMI)PN2EY016525 · NEI · BAYLOR COLLEGE OF MEDICINE · PI CHIU, WAH · 2005 to 2015
$33.6M
NEW TOOLS FOR EXPLORING THE DYNAMIC INTERACTOME(RMI)U54RR022220 · NCRR · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2005 to 2011
$19.3M
IMP: Software for Hybrid Determination of Macromolecular Assembly StructuresR01GM083960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2008 to 2024
$5.2M
NCRR NIH HHS U54 RR022220NEI NIH HHS PN2 EY016525NIGMS NIH HHS R01 GM083960
6 · The paper itself

Abstract

Dynamic processes involving macromolecular complexes are essential to cell function. These processes take place over a wide variety of length scales from nanometers to micrometers, and over time scales from nanoseconds to minutes. As a result, information from a variety of different experimental and computational approaches is required. We review the relevant sources of information and introduce a framework for integrating the data to produce representations of dynamic processes.

Indexed as

Cell Physiological PhenomenaComputer SimulationMacromolecular SubstancesModels, BiologicalMacromolecular Substances

Identifiers

PMID19223165
PMCPMC2774249

What OpenQuestion holds

Textmetadata
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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.