Cardiff University
Browse
- No file added yet -

In silico studies of the interactions between propofol and fentanyl using gaussian accelerated molecular dynamics - data

Download (24.82 MB)
dataset
posted on 2024-09-18, 10:49 authored by Christopher FaulknerChristopher Faulkner, NH de Leeuw

The data presented here provides the basis for the results reported in the manuscript entitled "In silico studies of the interactions between propofol and fentanyl using gaussian accelerated molecular dynamics". This study utilises sophisticated GPU accelerated gaussian accelerated molecular dynamics simulations to study the interactions between the general anesthetic propofol, and the opioid anesthetic fentanyl, with the Gloeobacter violaceus ion channel (GLIC). Our results show a detailed pathway by which propofol physically blocks the ion conducting channel pore which has been predicited previously, but no pathway has previously been suggested. We also observe for the first time a direct interaction between propofol and fentanyl in which a fentanyl molecule stabilises propofol in an extracellular binding site. The structural results of propofol and fentanyl interacting at GLIC present a compelling case for the allosteric action of anesthetics and opioids at pentameric ligand-gated ion channels. 

The data here consists of Amber input files for the gaussian accelerated simulations, raw data for hydrogen-bonding and RMSD calculations, and scripts used to construct the 2D PMF plots from the re-weighted simulations.

Research results based upon these data are published at http://doi.org/10.1080/07391102.2020.1814415



Funding

A computational study exploring the molecular basis of anaesthesia (2018-04-02 - 2022-03-31); Faulkner, Christopher. Funder: Engineering and Physical Sciences Research Council

DTP 2018-19 Cardiff University (2018-10-01 - 2023-09-30); Phillips, Rhian. Funder: Engineering and Physical Sciences Research Council

History

Specialist software required to view data files

No specialist software required

Usage metrics

    School of Chemistry

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC