Molecular Dynamics Simulation Data and Analysis Workflow for Studying Bivalent Ligand Binding to the Guanidine-II Riboswitch

DOI

The underlying study focused on ligand binding of bivalent ligands to the guanidine-II riboswitch. The dataset was generated using MD simulations and Machine Learning (ML) algorithms and contains the following directories and data: 1. simulation_data: Molecular Dynamics (MD) simulation trajectory data to replicate the analysis presented in the associated publication. 2. processed_data: Python code, a Python coding environment file, and a processed data file to replicate the dimensionality reduction and clustering workflow used in the associated publication. 3. sim_prep_example: Setup data and force field files to replicate the corresponding MD simulation data. See the README file for a more detailed description of content and technical instructions for this dataset.

Molecular Dynamics Simulations

Identifier
DOI https://doi.org/10.48606/fTBvhsaGfoDmhOTV
Related Identifier IsSupplementTo https://doi.org/10.1093/nargab/lqae132
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.48606/fTBvhsaGfoDmhOTV
Provenance
Creator Steuer, Jakob ORCID logo
Publisher University of Konstanz
Contributor RADAR
Publication Year 2024
Funding Reference Deutsche Forschungsgemeinschaft https://ror.org/018mejw64 ROR 35/1134-1 FUGG ; Konstanz Research School Chemical Biology (KoRS-CB) Other
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Contact Peter, Christine (University of Konstanz)
Representation
Language English
Resource Type Simulation Setup Files, Simulation Data, Jupyter Notebook; Dataset
Format application/x-tar
Discipline Chemistry; Natural Sciences
Temporal Coverage 2021-2024