Evidence map›Paper›PMID 25179558›Full record

ArticleScientific reports2014

High-resolution visualisation of the states and pathways sampled in molecular dynamics simulations.

Nicolas Blöchliger, Andreas Vitalis, Amedeo Caflisch

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A FAIR-Compliant Management Solution for Molecular Simulation Trajectories.Journal of chemical information and modeling · 2025
    Article
  2. Disrupting Dimeric β-Amyloid by Electric Fields.ACS physical chemistry Au · 2023
    Article
  3. Decrypting Integrins by Mixed-Solvent Molecular Dynamics Simulations.Journal of chemical information and modeling · 2023
    Article
  4. Molecular dynamics analysis of the structural properties of the transglutaminases ofComputational and structural biotechnology journal · 2022
    Article
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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.

Nicolas BlöchligerUniversity of Zurich, Department of Biochemistry, Winterthurerstrasse 190, CH-8057 Zurich.
Andreas VitalisUniversity of Zurich, Department of Biochemistry, Winterthurerstrasse 190, CH-8057 Zurich.
Amedeo CaflischUniversity of Zurich, Department of Biochemistry, Winterthurerstrasse 190, CH-8057 Zurich.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have recently developed a scalable algorithm for ordering the instantaneous observations of a dynamical system evolving continuously in time. Here, we apply the method to long molecular dynamics trajectories. The procedure requires only a pairwise, geometrical distance as input. Suitable annotations of both structural and kinetic nature reveal the free energy basins visited by biomolecules. The profile is supplemented by a trace of the temporal evolution of the system highlighting the sequence of events. We demonstrate that the resultant SAPPHIRE (States And Pathways Projected with HIgh REsolution) plots provide a comprehensive picture of the thermodynamics and kinetics of complex, molecular systems exhibiting dynamics covering a range of time and length scales. Information on pathways connecting states and the level of recurrence are quickly inferred from the visualisation. The considerable advantages of our approach are speed and resolution: the SAPPHIRE plot is scalable to very large data sets and represents every single snapshot. This minimizes the risk of missing states because of overlap or prior coarse-graining of the data.

Identifiers

PMID25179558
PMCPMC4151098

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Registered trials

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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.