Evidence map›Paper›PMID 19836330›Full record

ReviewStructure (London, England : 1993)2009

Discovery through the computational microscope.

Eric H Lee, Jen Hsin, Marcos Sotomayor, Gemma Comellas, Klaus Schulten

Abstract readReview
In one paragraph

Review in Structure (London, England : 1993), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 137 papers.

0numbers the graph read from it
0cells of the map it votes in
137citing 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

137 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Illuminating ligand-induced dynamics in nuclear receptors through MD simulations.Biochimica et biophysica acta. Gene regulatory mechanisms · 2024
    Review
  18. Article
  19. Article
  20. Review

77 more citing papers are in PubMed but not listed here.

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.

Eric H LeeCenter for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Jen Hsin
Marcos Sotomayor
Gemma Comellas
Klaus Schulten

Funding

WHOLE CELL SIMULATIONP41RR005969 · NCRR · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI STONE, JOHN H · 1990 to 2011
$19.8M
Molecular Mechanisms of Cellular MechanicsR01GM073655 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SCHULTEN, KLAUS · 2006 to 2009
$1.0M
Howard Hughes Medical InstituteNCRR NIH HHS P41 RR005969NCRR NIH HHS P41 RR05969NIGMS NIH HHS 1R01 GM073655NIGMS NIH HHS R01 GM073655
6 · The paper itself

Abstract

All-atom molecular dynamics simulations have become increasingly popular as a tool to investigate protein function and dynamics. However, researchers are concerned about the short time scales covered by simulations, the apparent impossibility to model large and integral biomolecular systems, and the actual predictive power of the molecular dynamics methodology. Here we review simulations that were in the past both hotly disputed and considered key successes, namely of proteins with mainly mechanical functions (titin, fibrinogen, ankyrin, and cadherin). The simulation work covered shows how state-of-the-art modeling alleviates some of the prior concerns and how unrefuted discoveries are made through the "computational microscope."

Indexed as

AnimalsBinding SitesComputational BiologyHumansModels, MolecularProtein ConformationProteinsProteins

Identifiers

PMID19836330
PMCPMC2927212

What OpenQuestion holds

Textmetadata
LicenceTDM
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.