Molecular dynamics simulation data and analysis workflow for studying bivalent ligand binding to the guanidine-ii riboswitch

Abstract: 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.

Cite this as

Steuer, Jakob (2024). Dataset: Molecular dynamics simulation data and analysis workflow for studying bivalent ligand binding to the guanidine-ii riboswitch. https://doi.org/10.48606/fTBvhsaGfoDmhOTV

DOI retrieved: 2024

Additional Info

Field Value
Imported on November 28, 2024
Last update November 28, 2024
License CC BY 4.0 Attribution
Source https://doi.org/10.48606/fTBvhsaGfoDmhOTV
Author Steuer, Jakob
Given Name Jakob
Family Name Steuer
Source Creation 2024
Publishers
University of Konstanz
Production Year 2021-2024
Publication Year 2024
Resource Type Dataset - Simulation Setup Files, Simulation Data, Jupyter Notebook
Subject Areas
Name: Chemistry

Related Identifiers
Identifier: 10.1093/nargab/lqae132
Type: DOI
Relation: IsSupplementTo