High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses

Name: High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses
Creator: Dr Nathan Boase
License: http://creativecommons.org/licenses/by-sa/4.0/
Keywords: Macromolecular and materials chemistry,Antivirals,Lipid monolayers,High-throughput polymerisation,research data,data collections,research project

Mengist, Hylemarian; Denman, Paul; Frost, Charlotte; Sng, Julian; Logan, Saskia; Barner, Leonie; Spann, Kirsten; Fairfull-Smith, Kathryn

doi:10.25912/RDF_1721879623130

High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses

Viewed: 256

This dataset includes characterisation data for copolymers synthesised by high throughput PET-RAFT photopolymerisation strategy, including NMR and SEC analysis of polymers, and raw results from immunoplaque and cytotoxicity assays used to evaluate antiviral activity. Polymer association with models of viral membranes by Langmuir lipid monolayers are also included. Python scripts used for analysis of data set are included as a Jupyter Notebook.

New antiviral polymers to deactivate eneveloped viruses were synthesised and evaluated by a high-throughput experimental workflow.

Geographical area of data collection

kmlPolyCoords

153.044839,-27.467359

Research areas

Macromolecular and materials chemistry

Antivirals

Lipid monolayers

High-throughput polymerisation

Cite this collection

Mengist, Hylemarian; Denman, Paul; Frost, Charlotte; Sng, Julian; Logan, Saskia; Barner, Leonie; Spann, Kirsten; Fairfull-Smith, Kathryn; (2024): High-Throughput Synthesis and Evaluation of Antiviral Copolymers to Target Enveloped Viruses. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1721879623130

Partner institution

School of Chemistry and Molecular Biosciences, University of Queensland https://scmb.uq.edu.au/

Access the data

https://data.researchdatafinder.qut.edu.au/dataset/high-throughput-synthesis-and

Data file types

An .xlsx file is provided to connect sample composition with data labels used during data acquisition. Collated NMR results are provided as .mnova files and can be opened by Mnova by Mestrelab. Exported GPC results are provided as .xlsx files. Raw results from immunoplaque assay and cytotoxicity testing are provided as .xlsx results. Raw results from Langmuir experiments are provided as .xlsx files. Python scripts are provided as Jupyter Notebook files.