Automated clustering workflow for molecular simulation data and ubiquitin simulation datset

DOI

This dataset contains a Jupyter Notebook for the Automated Clustering Workflow (ACW), a clustering workflow for molecular simulation data that combines the dimensionality reduction algorithms cc_analysis and EncoderMap with the clustering algorithm HDBSCAN and a root mean square deviation-based sorting criterion. The ACW was applied on molecular dynamics simulation data of the protein ubiquitin, which is also included in this dataset.

Molecular Dynamics Simulations

Identifier
DOI https://doi.org/10.48606/1m5vegw5amn1rrz8
Related Identifier IsSupplementTo https://doi.org/10.1063/5.0325219
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.48606/1m5vegw5amn1rrz8
Provenance
Creator Paulus, Elena ORCID logo; Malcharek, Madlen ORCID logo
Publisher University of Konstanz
Contributor RADAR
Publication Year 2026
Funding Reference Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 ROR INST 37/935-1 FUGG ; Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 ROR INST 35/1597-1 FUGG
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Language English
Resource Type Jupyter Notebook, Simulation Data; Dataset
Format application/x-tar
Discipline Chemistry; Natural Sciences
Temporal Coverage 2023-2025