Antimicrobial Peptides: An Update on Classifications and Databases

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 anti...

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Autores principales:	Ahmer Bin Hafeez, Xukai Jiang, Phillip J. Bergen, Yan Zhu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	antimicrobial peptide database structure mode of action machine learning HMM Biology (General) QH301-705.5 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/7a263697056241ecbaa41a5368679f4d
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id	oai:doaj.org-article:7a263697056241ecbaa41a5368679f4d
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spelling	oai:doaj.org-article:7a263697056241ecbaa41a5368679f4d2021-11-11T17:09:16ZAntimicrobial Peptides: An Update on Classifications and Databases10.3390/ijms2221116911422-00671661-6596https://doaj.org/article/7a263697056241ecbaa41a5368679f4d2021-10-01T00:00:00Zhttps://www.mdpi.com/1422-0067/22/21/11691https://doaj.org/toc/1661-6596https://doaj.org/toc/1422-0067Antimicrobial 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.Ahmer Bin HafeezXukai JiangPhillip J. BergenYan ZhuMDPI AGarticleantimicrobial peptidedatabasestructuremode of actionmachine learningHMMBiology (General)QH301-705.5ChemistryQD1-999ENInternational Journal of Molecular Sciences, Vol 22, Iss 11691, p 11691 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	antimicrobial peptide database structure mode of action machine learning HMM Biology (General) QH301-705.5 Chemistry QD1-999
spellingShingle	antimicrobial peptide database structure mode of action machine learning HMM Biology (General) QH301-705.5 Chemistry QD1-999 Ahmer Bin Hafeez Xukai Jiang Phillip J. Bergen Yan Zhu Antimicrobial Peptides: An Update on Classifications and Databases
description	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.
format	article
author	Ahmer Bin Hafeez Xukai Jiang Phillip J. Bergen Yan Zhu
author_facet	Ahmer Bin Hafeez Xukai Jiang Phillip J. Bergen Yan Zhu
author_sort	Ahmer Bin Hafeez
title	Antimicrobial Peptides: An Update on Classifications and Databases
title_short	Antimicrobial Peptides: An Update on Classifications and Databases
title_full	Antimicrobial Peptides: An Update on Classifications and Databases
title_fullStr	Antimicrobial Peptides: An Update on Classifications and Databases
title_full_unstemmed	Antimicrobial Peptides: An Update on Classifications and Databases
title_sort	antimicrobial peptides: an update on classifications and databases
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7a263697056241ecbaa41a5368679f4d
work_keys_str_mv	AT ahmerbinhafeez antimicrobialpeptidesanupdateonclassificationsanddatabases AT xukaijiang antimicrobialpeptidesanupdateonclassificationsanddatabases AT phillipjbergen antimicrobialpeptidesanupdateonclassificationsanddatabases AT yanzhu antimicrobialpeptidesanupdateonclassificationsanddatabases
_version_	1718432185385484288

Antimicrobial Peptides: An Update on Classifications and Databases

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