Systematic comparison of activity and mechanism of antimicrobial peptides against nosocomial pathogens

B Lin; A Hung; R Li; A Barlow; W Singleton; T Matthyssen; MA Sani; MA Hossain; JD Wade; NM O'Brien-Simpson; W Li

Journal article

Systematic comparison of activity and mechanism of antimicrobial peptides against nosocomial pathogens

B Lin, A Hung, R Li, A Barlow, W Singleton, T Matthyssen, MA Sani, MA Hossain, JD Wade, NM O'Brien-Simpson, W Li

European Journal of Medicinal Chemistry | Published : 2022

DOI: 10.1016/j.ejmech.2022.114135

Abstract

The World Health Organisation has deemed several multi-drug resistant (MDR) nosocomial bacterial pathogens to be of significant threat to human health. A stark increase in morbidity, mortality and the burden to healthcare systems around the world can be attributed to the development of resistance in these bacteria. Accordingly, alternative antimicrobial agents have been sought as an attractive means to combat MDR pathogens, with one such example being antimicrobial peptides (AMPs). Given the reported activity of AMPs, including Pardaxin, MSI-78, dermaseptin-PC (DMPC) and Cecropin B, it is important to understand their activities and modes of action against bacteria for further AMP design. In..

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University of Melbourne Researchers

Anders Barlow Author

William Singleton Author

Marco Sani Author

Akhter Hossain Author

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Grants

Awarded by National Computational Infrastructure

Funding Acknowledgements

& nbsp;This work was supported by grants to W.L. (University of Mel-bourne Early Career Researcher Grant, Weary Dunlop Foundation Grant and Australian Dental Research Foundation Grant 2545-2020) ; to N.M.O-S NHMRC funding (APP1142472, APP1158841, APP1185426) , ARC funding (DP210102781, DP160101312, LE200100163) and Australian Dental Research Funding in antimi-crobial materials and research is supported by the Centre for Oral Health Research at The Melbourne Dental School. W.L. acknowl-edge the NHMRC funding (APP1185426) to support his salary. J.D.W. is an NHMRC Principal Research Fellow (APP1117483) . Computa-tional resources were provided by the National Computational Infrastructure (NCI) , which is supported by the Australian Gov-ernment, and the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. The authors would like to acknowledge Distinguished Professor Frances Separovic for access to her laboratory at the Bio21 Institute.