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Antimicrobial Compounds from Microorganisms
Antimicrobial resistance is an exigent public health concern owing to the emergence of novel strains of human resistant pathogens and the concurrent rise in multi-drug resistance. An influx of new antimicrobials is urgently required to improve the treatment outcomes of infectious diseases and save l...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944786/ https://www.ncbi.nlm.nih.gov/pubmed/35326749 http://dx.doi.org/10.3390/antibiotics11030285 |
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author | Amaning Danquah, Cynthia Minkah, Prince Amankwah Baffour Osei Duah Junior, Isaiah Amankwah, Kofi Bonsu Somuah, Samuel Owusu |
author_facet | Amaning Danquah, Cynthia Minkah, Prince Amankwah Baffour Osei Duah Junior, Isaiah Amankwah, Kofi Bonsu Somuah, Samuel Owusu |
author_sort | Amaning Danquah, Cynthia |
collection | PubMed |
description | Antimicrobial resistance is an exigent public health concern owing to the emergence of novel strains of human resistant pathogens and the concurrent rise in multi-drug resistance. An influx of new antimicrobials is urgently required to improve the treatment outcomes of infectious diseases and save lives. Plant metabolites and bioactive compounds from chemical synthesis have found their efficacy to be dwindling, despite some of them being developed as drugs and used to treat human infections for several decades. Microorganisms are considered untapped reservoirs for promising biomolecules with varying structural and functional antimicrobial activity. The advent of cost-effective and convenient model organisms, state-of-the-art molecular biology, omics technology, and machine learning has enhanced the bioprospecting of novel antimicrobial drugs and the identification of new drug targets. This review summarizes antimicrobial compounds isolated from microorganisms and reports on the modern tools and strategies for exploiting promising antimicrobial drug candidates. The investigation identified a plethora of novel compounds from microbial sources with excellent antimicrobial activity against disease-causing human pathogens. Researchers could maximize the use of novel model systems and advanced biomolecular and computational tools in exploiting lead antimicrobials, consequently ameliorating antimicrobial resistance. |
format | Online Article Text |
id | pubmed-8944786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89447862022-03-25 Antimicrobial Compounds from Microorganisms Amaning Danquah, Cynthia Minkah, Prince Amankwah Baffour Osei Duah Junior, Isaiah Amankwah, Kofi Bonsu Somuah, Samuel Owusu Antibiotics (Basel) Review Antimicrobial resistance is an exigent public health concern owing to the emergence of novel strains of human resistant pathogens and the concurrent rise in multi-drug resistance. An influx of new antimicrobials is urgently required to improve the treatment outcomes of infectious diseases and save lives. Plant metabolites and bioactive compounds from chemical synthesis have found their efficacy to be dwindling, despite some of them being developed as drugs and used to treat human infections for several decades. Microorganisms are considered untapped reservoirs for promising biomolecules with varying structural and functional antimicrobial activity. The advent of cost-effective and convenient model organisms, state-of-the-art molecular biology, omics technology, and machine learning has enhanced the bioprospecting of novel antimicrobial drugs and the identification of new drug targets. This review summarizes antimicrobial compounds isolated from microorganisms and reports on the modern tools and strategies for exploiting promising antimicrobial drug candidates. The investigation identified a plethora of novel compounds from microbial sources with excellent antimicrobial activity against disease-causing human pathogens. Researchers could maximize the use of novel model systems and advanced biomolecular and computational tools in exploiting lead antimicrobials, consequently ameliorating antimicrobial resistance. MDPI 2022-02-22 /pmc/articles/PMC8944786/ /pubmed/35326749 http://dx.doi.org/10.3390/antibiotics11030285 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Amaning Danquah, Cynthia Minkah, Prince Amankwah Baffour Osei Duah Junior, Isaiah Amankwah, Kofi Bonsu Somuah, Samuel Owusu Antimicrobial Compounds from Microorganisms |
title | Antimicrobial Compounds from Microorganisms |
title_full | Antimicrobial Compounds from Microorganisms |
title_fullStr | Antimicrobial Compounds from Microorganisms |
title_full_unstemmed | Antimicrobial Compounds from Microorganisms |
title_short | Antimicrobial Compounds from Microorganisms |
title_sort | antimicrobial compounds from microorganisms |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944786/ https://www.ncbi.nlm.nih.gov/pubmed/35326749 http://dx.doi.org/10.3390/antibiotics11030285 |
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