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Topological analysis reveals multiple pathways in molecular dynamics

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  • 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.
Metadaten
Author:Luca DonatiORCiD, Surahit ChewleORCiD, Dominik St. Pierre, Vijay NatarajanORCiD, Marcus WeberORCiD
Document Type:Article
Parent Title (English):Journal of Chemical Theory and Computation
Volume:21
Issue:20
First Page:10385
Last Page:10397
Place of publication:J. Chem. Theory Comput.
Date of first Publication:2025/10/09
ArXiv Id:http://arxiv.org/abs/2412.20580
DOI:https://doi.org/10.1021/acs.jctc.5c00819
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