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Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction

[Image: see text] Artificial intelligence (AI) is a technology that builds an artificial system with certain intelligence and uses computer software and hardware to simulate intelligent human behavior. When combined with drug research and development, AI can considerably shorten this cycle, improve...

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Autores principales: Heng, Tianyu, Yang, Dezhi, Wang, Ruonan, Zhang, Li, Lu, Yang, Du, Guanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223226/
https://www.ncbi.nlm.nih.gov/pubmed/34179597
http://dx.doi.org/10.1021/acsomega.1c01330
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author Heng, Tianyu
Yang, Dezhi
Wang, Ruonan
Zhang, Li
Lu, Yang
Du, Guanhua
author_facet Heng, Tianyu
Yang, Dezhi
Wang, Ruonan
Zhang, Li
Lu, Yang
Du, Guanhua
author_sort Heng, Tianyu
collection PubMed
description [Image: see text] Artificial intelligence (AI) is a technology that builds an artificial system with certain intelligence and uses computer software and hardware to simulate intelligent human behavior. When combined with drug research and development, AI can considerably shorten this cycle, improve research efficiency, and minimize costs. The use of machine learning to discover novel materials and predict material properties has become a new research direction. On the basis of the current status of worldwide research on the combination of AI and crystal form and cocrystal, this mini-review analyzes and explores the application of AI in polymorphism prediction, crystal structure analysis, crystal property prediction, cocrystal former (CCF) screening, cocrystal composition prediction, and cocrystal formation prediction. This study provides insights into the future applications of AI in related fields.
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spelling pubmed-82232262021-06-25 Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction Heng, Tianyu Yang, Dezhi Wang, Ruonan Zhang, Li Lu, Yang Du, Guanhua ACS Omega [Image: see text] Artificial intelligence (AI) is a technology that builds an artificial system with certain intelligence and uses computer software and hardware to simulate intelligent human behavior. When combined with drug research and development, AI can considerably shorten this cycle, improve research efficiency, and minimize costs. The use of machine learning to discover novel materials and predict material properties has become a new research direction. On the basis of the current status of worldwide research on the combination of AI and crystal form and cocrystal, this mini-review analyzes and explores the application of AI in polymorphism prediction, crystal structure analysis, crystal property prediction, cocrystal former (CCF) screening, cocrystal composition prediction, and cocrystal formation prediction. This study provides insights into the future applications of AI in related fields. American Chemical Society 2021-06-11 /pmc/articles/PMC8223226/ /pubmed/34179597 http://dx.doi.org/10.1021/acsomega.1c01330 Text en © 2021 The Authors. Published by American Chemical Society 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 Heng, Tianyu
Yang, Dezhi
Wang, Ruonan
Zhang, Li
Lu, Yang
Du, Guanhua
Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title_full Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title_fullStr Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title_full_unstemmed Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title_short Progress in Research on Artificial Intelligence Applied to Polymorphism and Cocrystal Prediction
title_sort progress in research on artificial intelligence applied to polymorphism and cocrystal prediction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223226/
https://www.ncbi.nlm.nih.gov/pubmed/34179597
http://dx.doi.org/10.1021/acsomega.1c01330
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