Artificial Intelligence and Antibiotic Discovery

Over recent decades, a new antibiotic crisis has been unfolding due to a decreased research in this domain, a low return of investment for the companies that developed the drug, a lengthy and difficult research process, a low success rate for candidate molecules, an increased use of antibiotics in f...

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Autores principales: Liliana David, Anca Monica Brata, Cristina Mogosan, Cristina Pop, Zoltan Czako, Lucian Muresan, Abdulrahman Ismaiel, Dinu Iuliu Dumitrascu, Daniel Corneliu Leucuta, Mihaela Fadygas Stanculete, Irina Iaru, Stefan Lucian Popa
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/e0df27f45d4c4adc833456fbf19d14d3
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spelling oai:doaj.org-article:e0df27f45d4c4adc833456fbf19d14d32021-11-25T16:24:16ZArtificial Intelligence and Antibiotic Discovery10.3390/antibiotics101113762079-6382https://doaj.org/article/e0df27f45d4c4adc833456fbf19d14d32021-11-01T00:00:00Zhttps://www.mdpi.com/2079-6382/10/11/1376https://doaj.org/toc/2079-6382Over recent decades, a new antibiotic crisis has been unfolding due to a decreased research in this domain, a low return of investment for the companies that developed the drug, a lengthy and difficult research process, a low success rate for candidate molecules, an increased use of antibiotics in farms and an overall inappropriate use of antibiotics. This has led to a series of pathogens developing antibiotic resistance, which poses severe threats to public health systems while also driving up the costs of hospitalization and treatment. Moreover, without proper action and collaboration between academic and health institutions, a catastrophic trend might develop, with the possibility of returning to a pre-antibiotic era. Nevertheless, new emerging AI-based technologies have started to enter the field of antibiotic and drug development, offering a new perspective to an ever-growing problem. Cheaper and faster research can be achieved through algorithms that identify hit compounds, thereby further accelerating the development of new antibiotics, which represents a vital step in solving the current antibiotic crisis. The aim of this review is to provide an extended overview of the current artificial intelligence-based technologies that are used for antibiotic discovery, together with their technological and economic impact on the industrial sector.Liliana DavidAnca Monica BrataCristina MogosanCristina PopZoltan CzakoLucian MuresanAbdulrahman IsmaielDinu Iuliu DumitrascuDaniel Corneliu LeucutaMihaela Fadygas StanculeteIrina IaruStefan Lucian PopaMDPI AGarticleantibiotic discoveryantibiotic developmentautomated antibiotic discoveryantibiotic resistancecomputer-aided drug designartificial intelligenceTherapeutics. PharmacologyRM1-950ENAntibiotics, Vol 10, Iss 1376, p 1376 (2021)
institution DOAJ
collection DOAJ
language EN
topic antibiotic discovery
antibiotic development
automated antibiotic discovery
antibiotic resistance
computer-aided drug design
artificial intelligence
Therapeutics. Pharmacology
RM1-950
spellingShingle antibiotic discovery
antibiotic development
automated antibiotic discovery
antibiotic resistance
computer-aided drug design
artificial intelligence
Therapeutics. Pharmacology
RM1-950
Liliana David
Anca Monica Brata
Cristina Mogosan
Cristina Pop
Zoltan Czako
Lucian Muresan
Abdulrahman Ismaiel
Dinu Iuliu Dumitrascu
Daniel Corneliu Leucuta
Mihaela Fadygas Stanculete
Irina Iaru
Stefan Lucian Popa
Artificial Intelligence and Antibiotic Discovery
description Over recent decades, a new antibiotic crisis has been unfolding due to a decreased research in this domain, a low return of investment for the companies that developed the drug, a lengthy and difficult research process, a low success rate for candidate molecules, an increased use of antibiotics in farms and an overall inappropriate use of antibiotics. This has led to a series of pathogens developing antibiotic resistance, which poses severe threats to public health systems while also driving up the costs of hospitalization and treatment. Moreover, without proper action and collaboration between academic and health institutions, a catastrophic trend might develop, with the possibility of returning to a pre-antibiotic era. Nevertheless, new emerging AI-based technologies have started to enter the field of antibiotic and drug development, offering a new perspective to an ever-growing problem. Cheaper and faster research can be achieved through algorithms that identify hit compounds, thereby further accelerating the development of new antibiotics, which represents a vital step in solving the current antibiotic crisis. The aim of this review is to provide an extended overview of the current artificial intelligence-based technologies that are used for antibiotic discovery, together with their technological and economic impact on the industrial sector.
format article
author Liliana David
Anca Monica Brata
Cristina Mogosan
Cristina Pop
Zoltan Czako
Lucian Muresan
Abdulrahman Ismaiel
Dinu Iuliu Dumitrascu
Daniel Corneliu Leucuta
Mihaela Fadygas Stanculete
Irina Iaru
Stefan Lucian Popa
author_facet Liliana David
Anca Monica Brata
Cristina Mogosan
Cristina Pop
Zoltan Czako
Lucian Muresan
Abdulrahman Ismaiel
Dinu Iuliu Dumitrascu
Daniel Corneliu Leucuta
Mihaela Fadygas Stanculete
Irina Iaru
Stefan Lucian Popa
author_sort Liliana David
title Artificial Intelligence and Antibiotic Discovery
title_short Artificial Intelligence and Antibiotic Discovery
title_full Artificial Intelligence and Antibiotic Discovery
title_fullStr Artificial Intelligence and Antibiotic Discovery
title_full_unstemmed Artificial Intelligence and Antibiotic Discovery
title_sort artificial intelligence and antibiotic discovery
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/e0df27f45d4c4adc833456fbf19d14d3
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