Evidence map›Paper›PMID 41720904›Full record

ArticleScientific reports2026

High resolution mapping of protein motions in time and space with RMSX and Flipbook.

Finn Beruldsen, Martiela Vaz de Freitas, Dinler A Antunes

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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.

Finn BeruldsenCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Science and Engineering Research Center, 3517 Cullen Blvd bldg 545, Houston, TX, 77004, USA.ORCID http://orcid.org/0000-0002-1277-210X
Martiela Vaz de FreitasCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Science and Engineering Research Center, 3517 Cullen Blvd bldg 545, Houston, TX, 77004, USA.ORCID http://orcid.org/0000-0003-4178-6604
Dinler A AntunesCenter for Nuclear Receptors and Cell Signaling, Department of Biology and Biochemistry, University of Houston, Science and Engineering Research Center, 3517 Cullen Blvd bldg 545, Houston, TX, 77004, USA. dinler@uh.edu.ORCID http://orcid.org/0000-0001-7947-6455

Funding

NCI NIH HHS 1R21CA289333-01
6 · The paper itself

Abstract

Demonstrating when and where proteins undergo conformational rearrangement remains challenging in molecular dynamics (MD) analysis, particularly for transient and localized motions. We introduce RMSX, a time-series extension of root-mean-square fluctuation (RMSF), and Flipbook, a general-purpose method for mapping simulation metrics onto structural, atomistic snapshots. Unlike traditional RMSF values, RMSX is performed over partitions of the original simulation - not its entirety. This simple extension allows RMSX to pinpoint not only the degree of fluctuation but also isolate when a significant motion takes place for any amino acid residue. Flipbook provides an engine for transforming time-series, residue-level data into salient, colored 3D structures. Flipbook can take in RMSX values, or other user-provided values, to see how they vary with time, coloring and scaling the amino acids according to those values. We demonstrate these tools' utility on unbiased and steered MD simulations of ubiquitin, HIV-1 protease, and the bacterial adhesion protein SdrG. RMSX and Flipbook together form a streamlined, open-source suite for quantitative, high-resolution interrogation of biomolecular dynamics. RMSX and Flipbook are freely available at https://github.com/AntunesLab/rmsx .

Indexed as

Molecular Dynamics SimulationProteinsSoftwareHIV ProteaseMotionProtein ConformationUbiquitinHIV ProteaseProteinsUbiquitinMolecular dynamics (MD)RMSDRMSFTime-resolved fluctuationTrajectory visualization

Identifiers

PMID41720904
PMCPMC13022101

What OpenQuestion holds

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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.