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Artificial Intelligence Technologies for COVID-19 De Novo Drug Design
The recent covid crisis has provided important lessons for academia and industry regarding digital reorganization. Among the fascinating lessons from these times is the huge potential of data analytics and artificial intelligence. The crisis exponentially accelerated the adoption of analytics and ar...
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/PMC8949797/ https://www.ncbi.nlm.nih.gov/pubmed/35328682 http://dx.doi.org/10.3390/ijms23063261 |
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author | Floresta, Giuseppe Zagni, Chiara Gentile, Davide Patamia, Vincenzo Rescifina, Antonio |
author_facet | Floresta, Giuseppe Zagni, Chiara Gentile, Davide Patamia, Vincenzo Rescifina, Antonio |
author_sort | Floresta, Giuseppe |
collection | PubMed |
description | The recent covid crisis has provided important lessons for academia and industry regarding digital reorganization. Among the fascinating lessons from these times is the huge potential of data analytics and artificial intelligence. The crisis exponentially accelerated the adoption of analytics and artificial intelligence, and this momentum is predicted to continue into the 2020s and beyond. Drug development is a costly and time-consuming business, and only a minority of approved drugs generate returns exceeding the research and development costs. As a result, there is a huge drive to make drug discovery cheaper and faster. With modern algorithms and hardware, it is not too surprising that the new technologies of artificial intelligence and other computational simulation tools can help drug developers. In only two years of covid research, many novel molecules have been designed/identified using artificial intelligence methods with astonishing results in terms of time and effectiveness. This paper reviews the most significant research on artificial intelligence in de novo drug design for COVID-19 pharmaceutical research. |
format | Online Article Text |
id | pubmed-8949797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89497972022-03-26 Artificial Intelligence Technologies for COVID-19 De Novo Drug Design Floresta, Giuseppe Zagni, Chiara Gentile, Davide Patamia, Vincenzo Rescifina, Antonio Int J Mol Sci Review The recent covid crisis has provided important lessons for academia and industry regarding digital reorganization. Among the fascinating lessons from these times is the huge potential of data analytics and artificial intelligence. The crisis exponentially accelerated the adoption of analytics and artificial intelligence, and this momentum is predicted to continue into the 2020s and beyond. Drug development is a costly and time-consuming business, and only a minority of approved drugs generate returns exceeding the research and development costs. As a result, there is a huge drive to make drug discovery cheaper and faster. With modern algorithms and hardware, it is not too surprising that the new technologies of artificial intelligence and other computational simulation tools can help drug developers. In only two years of covid research, many novel molecules have been designed/identified using artificial intelligence methods with astonishing results in terms of time and effectiveness. This paper reviews the most significant research on artificial intelligence in de novo drug design for COVID-19 pharmaceutical research. MDPI 2022-03-17 /pmc/articles/PMC8949797/ /pubmed/35328682 http://dx.doi.org/10.3390/ijms23063261 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 Floresta, Giuseppe Zagni, Chiara Gentile, Davide Patamia, Vincenzo Rescifina, Antonio Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title | Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title_full | Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title_fullStr | Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title_full_unstemmed | Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title_short | Artificial Intelligence Technologies for COVID-19 De Novo Drug Design |
title_sort | artificial intelligence technologies for covid-19 de novo drug design |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949797/ https://www.ncbi.nlm.nih.gov/pubmed/35328682 http://dx.doi.org/10.3390/ijms23063261 |
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