Evidence map›Paper›PMID 22494262›Full record

ArticleThe journal of physical chemistry. B2012

A comparison of multiscale methods for the analysis of molecular dynamics simulations.

Noah C Benson, Valerie Daggett

Abstract readComparative Study
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 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Theta-Defensin Proteins: Conformational Variability and Environmental Effects.Computational and structural biotechnology journal · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Pharmaceuticals (Basel, Switzerland) · 2025
    Article
  13. Article
  14. Enhanced multistress tolerance ofMicrobiology spectrum · 2025
    Article
  15. Article
  16. Article
  17. RSC advances · 2024
    Article
  18. Unveiling the Multifaceted Capabilities of EndophyticPharmaceuticals (Basel, Switzerland) · 2024
    Article
  19. Article
  20. Article

1 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

2 authors.

Noah C BensonDivision of Biomedical and Health Informatics, University of Washington, Seattle, Washington 98195-7240, United States.
Valerie Daggett

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR01GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 2000 to 2014
$3.9M
MOLECULAR DYNAMICS SIMULATIONS OF PROTEIN UNFOLDINGR29GM050789 · NIGMS · UNIVERSITY OF WASHINGTON · PI DAGGETT, VALERIE D · 1995 to 1999
–
NIGMS NIH HHS GM50789NIGMS NIH HHS R01 GM050789NIGMS NIH HHS R29 GM050789NLM NIH HHS 3 T15 LM007442-04S1NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

Molecular dynamics (MD) is the only technique available for obtaining dynamic protein data at atomic spatial resolution and picosecond or finer temporal resolution. In recent years, the cost of computational resources has decreased exponentially while the number of known protein structures, many of which are not characterized biochemically, has increased rapidly. These events have led to an increase in the use of MD in biological research, both to examine phenomena that cannot be resolved experimentally and to generate hypotheses that direct further experimental research. In fact, several databases of MD simulations have arisen in recent years. MD simulations, and especially MD simulation databases, contain massive amounts of data, yet interesting phenomena often occur over very short time periods and on the scale of only a few atoms. Analysis of such data must balance these fine-detail events with the global picture they create. Here, we address the multiscale nature of the problem by comparing several MD analysis methods to show their strengths and weaknesses at various scales using the wild-type and R282W mutant forms of the DNA-binding domain of protein p53. By leveraging these techniques together, we are able to pinpoint fine-detail and big picture differences between the protein's variants. Our analyses indicate that the R282W mutation of p53 destabilizes the L1 loop and loosens the H2 helix conformation, but the loosened L1 loop can be rescued by residue H115, preventing the R282W mutation from completely destabilizing the protein or abolishing activity.

Indexed as

Molecular Dynamics SimulationBinding SitesDNAHumansPoint MutationProtein ConformationProtein StabilityProtein Structure, SecondaryProtein Structure, TertiaryTumor Suppressor Protein p53DNATumor Suppressor Protein p53

Identifiers

PMID22494262
PMCPMC3406285

What OpenQuestion holds

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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.