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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MDPI AG
2021
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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) |
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antibiotic discovery antibiotic development automated antibiotic discovery antibiotic resistance computer-aided drug design artificial intelligence Therapeutics. Pharmacology RM1-950 |
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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 |
work_keys_str_mv |
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