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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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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. |
format | Online Article Text |
id | pubmed-8223226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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