Evidence map›Paper›PMID 41069156›Full record

ArticleJournal of chemical theory and computation2025

Topological Analysis Reveals Multiple Pathways in Molecular Dynamics.

Luca Donati, Surahit Chewle, Dominik St Pierre, Vijay Natarajan, Marcus Weber

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Luca DonatiFreie Universität Berlin, Department of Mathematics and Computer Science, Arnimallee 22, D-14195 Berlin, Germany.ORCID 0000-0002-6014-6875
Surahit ChewleZuse Institute Berlin, Takustr. 7, D-14195 Berlin, Germany.ORCID 0000-0002-1428-349X
Dominik St PierreZuse Institute Berlin, Takustr. 7, D-14195 Berlin, Germany.ORCID 0009-0009-3925-8467
Vijay NatarajanZuse Institute Berlin, Takustr. 7, D-14195 Berlin, Germany.
Marcus WeberZuse Institute Berlin, Takustr. 7, D-14195 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular Dynamics simulations are indispensable tools for comprehending the dynamic behavior of biomolecules, yet extracting meaningful molecular pathways from these simulations remains challenging due to the vast amount of high dimensional data. In this work, we present Molecular Kinetics via Topology (MoKiTo), a novel approach that combines the ISOKANN algorithm to determine the membership function of a molecular system with a topological analysis tool inspired by the Mapper algorithm. Our strategy efficiently identifies and characterizes distinct molecular pathways, enabling the detection and visualization of critical conformational transitions and rare events. This method offers deeper insights into molecular mechanisms, facilitating the design of targeted interventions in drug discovery and protein engineering.

Indexed as

Molecular Dynamics SimulationProteinsAlgorithmsKineticsProteins

Identifiers

PMID41069156
PMCPMC12573761

What OpenQuestion holds

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LicenceCC BY
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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.