Evidence map›Paper›PMID 40768497›Full record

ArticlePloS one2025

ProProtein: A platform for fully automated identification of 3D structure fluctuations in MD simulation trajectories.

Krzysztof Mularski, Dawid Makalowski, Marcin Okonek, Daria Glebowska, Mateusz Swiercz, Karol Kamel, Jacek Blazewicz, Maciej Antczak, Aleksandra Swiercz

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Krzysztof MularskiInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Dawid MakalowskiInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Marcin OkonekInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Daria GlebowskaInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Mateusz SwierczInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Karol KamelInstitute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Jacek BlazewiczInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Maciej AntczakInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.
Aleksandra SwierczInstitute of Computing Science, Poznan University of Technology, Poznan, Poland.ORCID https://orcid.org/0000-0002-5574-8222

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main goal of Molecular Dynamics (MD) is a simulation of a physical system motions in a fixed time period. This technique allows users to observe the dynamic evolution of the system but requires advanced force fields and is computationally intensive. Furthermore, finding desirable features in the results obtained is usually a time-consuming task. This motivates the need to implement a tool that visualizes the most flexible protein fragments. ProProtein platform is a sophisticated web server where, with a single click, the user can set up, configure, and run an MD simulation of the 3D structure of the peptide/protein. We perform the simulation using an open-source software suite developed for high-performance molecular dynamics named Gromacs. The resulting MD trajectory is then automatically analyzed within the dedicated heuristic algorithm to identify 3D fragments characterized by high instability in the context of the given (input) structure. These high-fluctuation substructures are presented next to the user with the Mol* package. They are visualized in colors on each frame covered by the considered trajectory. This tool can easily support the evaluation of the reliability of protein 3D structure predictions obtained computationally. The ProProtein platform is free and open to all users. It is publicly available at: https://proprotein.cs.put.poznan.pl/.

Indexed as

Molecular Dynamics SimulationProteinsSoftwareAlgorithmsProtein ConformationProteins

Identifiers

PMID40768497
PMCPMC12327591

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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.