Allen, Nyasha, White, Lisa J., Boles, Jessica E., Williams, George T., Chu, Dominique, Ellaby, Rebecca J., Shepherd, H.J., Ng, Kendrick K. L., Blackholly, Laura R., Wilson, B., and others. (2020) Predicting the antimicrobial efficacy of hydrogen bonded, self‐associating amphiphiles. ChemMedChem, . ISSN 1860-7179. (doi:10.1002/cmdc.202000533) (KAR id:82922)
|
PDF
Author's Accepted Manuscript
Language: English 
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
|
Download (1MB)
Preview
|
Preview |
|
This file may not be suitable for users of assistive technology.
Request an accessible format
|
|
|
PDF
Supplemental Material
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
|
Download (32MB)
Preview
|
Preview |
|
This file may not be suitable for users of assistive technology.
Request an accessible format
|
|
| Official URL https://doi.org/10.1002/cmdc.202000533 |
|
Abstract
Herein, we report 50 structurally related supramolecular self‐associating amphiphilic (SSA) salts and related compounds. These SSAs are shown to act as antimicrobial agents, active against model Gram‐positive (Methicillin‐Resistant Staphylococcus aureus ) and/or Gram‐negative ( Escherichia coli ) bacteria of clinical interest. Through a combination of solution state, gas phase, solid state and in silico measurements we determine 14 different physicochemical parameters for each of these 50 structurally related compounds. These parameter sets are then used to identify molecular structure – physicochemical property – antimicrobial activity relationships for our model Gram‐negative and Gram‐positive bacteria, while simultaneously providing insight towards the elucidation of SSA mode of antimicrobial action.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1002/cmdc.202000533 |
| Subjects: |
Q Science Q Science > QD Chemistry Q Science > QR Microbiology |
| Divisions: |
Divisions > Division of Natural Sciences > School of Biosciences Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing Divisions > Division of Natural Sciences > School of Physical Sciences |
| Depositing User: | Jennifer Hiscock |
| Date Deposited: | 15 Sep 2020 11:42 UTC |
| Last Modified: | 16 Feb 2021 14:14 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/82922 (The current URI for this page, for reference purposes) |
| Chu, Dominique: |  https://orcid.org/0000-0002-3706-2905 |
| Shepherd, H.J.: | https://orcid.org/0000-0003-0832-4475 |
| Mulvihill, Daniel P.: | https://orcid.org/0000-0003-2502-5274 |
| Hiscock, Jennifer R.: | https://orcid.org/0000-0002-1406-8802 |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):
Altmetric
Altmetric