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Defining Levels of Automated Chemical Design
[Image: see text] One application area of computational methods in drug discovery is the automated design of small molecules. Despite the large number of publications describing methods and their application in both retrospective and prospective studies, there is a lack of agreement on terminology a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150065/ https://www.ncbi.nlm.nih.gov/pubmed/35511951 http://dx.doi.org/10.1021/acs.jmedchem.2c00334 |
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author | Goldman, Brian Kearnes, Steven Kramer, Trevor Riley, Patrick Walters, W. Patrick |
author_facet | Goldman, Brian Kearnes, Steven Kramer, Trevor Riley, Patrick Walters, W. Patrick |
author_sort | Goldman, Brian |
collection | PubMed |
description | [Image: see text] One application area of computational methods in drug discovery is the automated design of small molecules. Despite the large number of publications describing methods and their application in both retrospective and prospective studies, there is a lack of agreement on terminology and key attributes to distinguish these various systems. We introduce Automated Chemical Design (ACD) Levels to clearly define the level of autonomy along the axes of ideation and decision making. To fully illustrate this framework, we provide literature exemplars and place some notable methods and applications into the levels. The ACD framework provides a common language for describing automated small molecule design systems and enables medicinal chemists to better understand and evaluate such systems. |
format | Online Article Text |
id | pubmed-9150065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91500652022-05-31 Defining Levels of Automated Chemical Design Goldman, Brian Kearnes, Steven Kramer, Trevor Riley, Patrick Walters, W. Patrick J Med Chem [Image: see text] One application area of computational methods in drug discovery is the automated design of small molecules. Despite the large number of publications describing methods and their application in both retrospective and prospective studies, there is a lack of agreement on terminology and key attributes to distinguish these various systems. We introduce Automated Chemical Design (ACD) Levels to clearly define the level of autonomy along the axes of ideation and decision making. To fully illustrate this framework, we provide literature exemplars and place some notable methods and applications into the levels. The ACD framework provides a common language for describing automated small molecule design systems and enables medicinal chemists to better understand and evaluate such systems. American Chemical Society 2022-05-05 2022-05-26 /pmc/articles/PMC9150065/ /pubmed/35511951 http://dx.doi.org/10.1021/acs.jmedchem.2c00334 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Goldman, Brian Kearnes, Steven Kramer, Trevor Riley, Patrick Walters, W. Patrick Defining Levels of Automated Chemical Design |
title | Defining Levels
of Automated Chemical Design |
title_full | Defining Levels
of Automated Chemical Design |
title_fullStr | Defining Levels
of Automated Chemical Design |
title_full_unstemmed | Defining Levels
of Automated Chemical Design |
title_short | Defining Levels
of Automated Chemical Design |
title_sort | defining levels
of automated chemical design |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9150065/ https://www.ncbi.nlm.nih.gov/pubmed/35511951 http://dx.doi.org/10.1021/acs.jmedchem.2c00334 |
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