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Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data
‘Artificial Intelligence’ (AI) has recently had a profound impact on areas such as image and speech recognition, and this progress has already translated into practical applications. However, in the drug discovery field, such advances remains scarce, and one of the reasons is intrinsic to the data u...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132984/ https://www.ncbi.nlm.nih.gov/pubmed/33508423 http://dx.doi.org/10.1016/j.drudis.2020.11.037 |
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author | Bender, Andreas Cortes-Ciriano, Isidro |
author_facet | Bender, Andreas Cortes-Ciriano, Isidro |
author_sort | Bender, Andreas |
collection | PubMed |
description | ‘Artificial Intelligence’ (AI) has recently had a profound impact on areas such as image and speech recognition, and this progress has already translated into practical applications. However, in the drug discovery field, such advances remains scarce, and one of the reasons is intrinsic to the data used. In this review, we discuss aspects of, and differences in, data from different domains, namely the image, speech, chemical, and biological domains, the amounts of data available, and how relevant they are to drug discovery. Improvements in the future are needed with respect to our understanding of biological systems, and the subsequent generation of practically relevant data in sufficient quantities, to truly advance the field of AI in drug discovery, to enable the discovery of novel chemistry, with novel modes of action, which shows desirable efficacy and safety in the clinic. |
format | Online Article Text |
id | pubmed-8132984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution |
record_format | MEDLINE/PubMed |
spelling | pubmed-81329842021-05-24 Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data Bender, Andreas Cortes-Ciriano, Isidro Drug Discov Today Review ‘Artificial Intelligence’ (AI) has recently had a profound impact on areas such as image and speech recognition, and this progress has already translated into practical applications. However, in the drug discovery field, such advances remains scarce, and one of the reasons is intrinsic to the data used. In this review, we discuss aspects of, and differences in, data from different domains, namely the image, speech, chemical, and biological domains, the amounts of data available, and how relevant they are to drug discovery. Improvements in the future are needed with respect to our understanding of biological systems, and the subsequent generation of practically relevant data in sufficient quantities, to truly advance the field of AI in drug discovery, to enable the discovery of novel chemistry, with novel modes of action, which shows desirable efficacy and safety in the clinic. Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution 2021-04 /pmc/articles/PMC8132984/ /pubmed/33508423 http://dx.doi.org/10.1016/j.drudis.2020.11.037 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bender, Andreas Cortes-Ciriano, Isidro Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title | Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title_full | Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title_fullStr | Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title_full_unstemmed | Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title_short | Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 2: a discussion of chemical and biological data |
title_sort | artificial intelligence in drug discovery: what is realistic, what are illusions? part 2: a discussion of chemical and biological data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132984/ https://www.ncbi.nlm.nih.gov/pubmed/33508423 http://dx.doi.org/10.1016/j.drudis.2020.11.037 |
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