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Medientyp:
E-Artikel
Titel:
Antimicrobial Peptides: An Update on Classifications and Databases
Beteiligte:
Bin Hafeez, Ahmer;
Jiang, Xukai;
Bergen, Phillip J.;
Zhu, Yan
Erschienen:
MDPI AG, 2021
Erschienen in:
International Journal of Molecular Sciences, 22 (2021) 21, Seite 11691
Sprache:
Englisch
DOI:
10.3390/ijms222111691
ISSN:
1422-0067
Entstehung:
Anmerkungen:
Beschreibung:
Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an indispensable component of host defenses. They consist of predominantly short cationic peptides with a wide variety of structures and targets. Given the ever-emerging resistance of various pathogens to existing antimicrobial therapies, AMPs have recently attracted extensive interest as potential therapeutic agents. As the discovery of new AMPs has increased, many databases specializing in AMPs have been developed to collect both fundamental and pharmacological information. In this review, we summarize the sources, structures, modes of action, and classifications of AMPs. Additionally, we examine current AMP databases, compare valuable computational tools used to predict antimicrobial activity and mechanisms of action, and highlight new machine learning approaches that can be employed to improve AMP activity to combat global antimicrobial resistance.