Editorial: Antimicrobial and Anticancer Peptides
@article{OBrienSimpson2018EditorialAA, title={Editorial: Antimicrobial and Anticancer Peptides}, author={Neil M. O’Brien-Simpson and Ralf Hoffmann and Cheng San Brian Chia and John D. Wade}, journal={Frontiers in Chemistry}, year={2018}, volume={6} }
Oral Health Cooperative Research Centre, Melbourne Dental School, University of Melbourne, Parkville, VIC, Australia, 2 Bio21 Institute, University of Melbourne, Parkville, VIC, Australia, 3 Faculty of Chemistry and Mineralogy, Institute of Bioanalytical Chemistry, Universität Leipzig, Leipzig, Germany, Center for Biotechnology and Biomedicine, Universität Leipzig, Leipzig, Germany, 5 Experimental Therapeutics Centre, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore, 6…
12 Citations
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The present review could further facilitate the design of ACPs and increase efficacious ACP therapy in the near future.
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Interestingly, beside strong antibacterial activities, the screening of a synthetic library based on the CPP sC18 detected activity in cancer cells, while non-cancerous cells remained unharmed, highlighting the new candidates, particularly those from generation 4, as a valuable and promising source for the development of future therapeutics with antibacterial activity and beyond.
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Current cancer treatment regimens such as chemotherapy and traditional chemical drugs have adverse side effects including the appearance of drug-resistant tumor cells. For these reasons, it is…
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This mini-review outlines some of the current and past work in combining AMPs with conventional antibiotics as strategies to address bacterial resistance.
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- 2022
This review will provide a framework for assessing anti-cancer peptides' structural and functional aspects and provide appropriate information on their mode of action to support and strengthen efforts to improve cancer prevention.
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- Biology, ChemistryJournal of Nanoparticle Research
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The findings confirm the significant potential of CM11 peptide against tumor cells and its delivery system in order to target these cells.
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The current state-of-the-art on the application of machine learning for studying the bioactivity of anticancer peptides along with future outlook of the field is summarized.
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