Artificial intelligence approach fighting COVID-19 with repurposing drugs
Background: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the current pandemic situation before it could become...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-08-01
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| Series: | Biomedical Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2319417020300494 |
| _version_ | 1811212657760403456 |
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| author | Yi-Yu Ke Tzu-Ting Peng Teng-Kuang Yeh Wen-Zheng Huang Shao-En Chang Szu-Huei Wu Hui-Chen Hung Tsu-An Hsu Shiow-Ju Lee Jeng-Shin Song Wen-Hsing Lin Tung-Jung Chiang Jiunn-Horng Lin Huey-Kang Sytwu Chiung-Tong Chen |
| author_facet | Yi-Yu Ke Tzu-Ting Peng Teng-Kuang Yeh Wen-Zheng Huang Shao-En Chang Szu-Huei Wu Hui-Chen Hung Tsu-An Hsu Shiow-Ju Lee Jeng-Shin Song Wen-Hsing Lin Tung-Jung Chiang Jiunn-Horng Lin Huey-Kang Sytwu Chiung-Tong Chen |
| author_sort | Yi-Yu Ke |
| collection | DOAJ |
| description | Background: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the current pandemic situation before it could become worsening. Artificial intelligence (AI) technology is hereby applied to identify the marketed drugs with potential for treating COVID-19. Methods: An AI platform was established to identify potential old drugs with anti-coronavirus activities by using two different learning databases; one consisted of the compounds reported or proven active against SARS-CoV, SARS-CoV-2, human immunodeficiency virus, influenza virus, and the other one containing the known 3C-like protease inhibitors. All AI predicted drugs were then tested for activities against a feline coronavirus in in vitro cell-based assay. These assay results were feedbacks to the AI system for relearning and thus to generate a modified AI model to search for old drugs again. Results: After a few runs of AI learning and prediction processes, the AI system identified 80 marketed drugs with potential. Among them, 8 drugs (bedaquiline, brequinar, celecoxib, clofazimine, conivaptan, gemcitabine, tolcapone, and vismodegib) showed in vitro activities against the proliferation of a feline infectious peritonitis (FIP) virus in Fcwf-4 cells. In addition, 5 other drugs (boceprevir, chloroquine, homoharringtonine, tilorone, and salinomycin) were also found active during the exercises of AI approaches. Conclusion: Having taken advantages of AI, we identified old drugs with activities against FIP coronavirus. Further studies are underway to demonstrate their activities against SARS-CoV-2 in vitro and in vivo at clinically achievable concentrations and doses. With prior use experiences in patients, these old drugs if proven active against SARS-CoV-2 can readily be applied for fighting COVID-19 pandemic. |
| first_indexed | 2024-04-12T05:32:48Z |
| format | Article |
| id | doaj.art-e5864b93b800488594d8308add042b7b |
| institution | Directory Open Access Journal |
| issn | 2319-4170 |
| language | English |
| last_indexed | 2024-04-12T05:32:48Z |
| publishDate | 2020-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomedical Journal |
| spelling | doaj.art-e5864b93b800488594d8308add042b7b2022-12-22T03:45:59ZengElsevierBiomedical Journal2319-41702020-08-01434355362Artificial intelligence approach fighting COVID-19 with repurposing drugsYi-Yu Ke0Tzu-Ting Peng1Teng-Kuang Yeh2Wen-Zheng Huang3Shao-En Chang4Szu-Huei Wu5Hui-Chen Hung6Tsu-An Hsu7Shiow-Ju Lee8Jeng-Shin Song9Wen-Hsing Lin10Tung-Jung Chiang11Jiunn-Horng Lin12Huey-Kang Sytwu13Chiung-Tong Chen14Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, Taiwan; Corresponding author. Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, 35 Keyan Rd., Zhunan, Miaoli 35053, Taiwan.Animal Technology Laboratories, Agricultural Technology Research Institute, Hsinchu, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanAnimal Technology Laboratories, Agricultural Technology Research Institute, Hsinchu, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, TaiwanOffice of Environment, Safety, and Health, National Health Research Institutes, Miaoli, TaiwanAnimal Technology Laboratories, Agricultural Technology Research Institute, Hsinchu, TaiwanNational Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, TaiwanInstitute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, Zhunan, Taiwan; Corresponding author. Institute of Biotechnology and Pharmaceutical Research, National Health Research Institutes, 35 Keyan Rd., Zhunan, Miaoli 35053, Taiwan.Background: The ongoing COVID-19 pandemic has caused more than 193,825 deaths during the past few months. A quick-to-be-identified cure for the disease will be a therapeutic medicine that has prior use experiences in patients in order to resolve the current pandemic situation before it could become worsening. Artificial intelligence (AI) technology is hereby applied to identify the marketed drugs with potential for treating COVID-19. Methods: An AI platform was established to identify potential old drugs with anti-coronavirus activities by using two different learning databases; one consisted of the compounds reported or proven active against SARS-CoV, SARS-CoV-2, human immunodeficiency virus, influenza virus, and the other one containing the known 3C-like protease inhibitors. All AI predicted drugs were then tested for activities against a feline coronavirus in in vitro cell-based assay. These assay results were feedbacks to the AI system for relearning and thus to generate a modified AI model to search for old drugs again. Results: After a few runs of AI learning and prediction processes, the AI system identified 80 marketed drugs with potential. Among them, 8 drugs (bedaquiline, brequinar, celecoxib, clofazimine, conivaptan, gemcitabine, tolcapone, and vismodegib) showed in vitro activities against the proliferation of a feline infectious peritonitis (FIP) virus in Fcwf-4 cells. In addition, 5 other drugs (boceprevir, chloroquine, homoharringtonine, tilorone, and salinomycin) were also found active during the exercises of AI approaches. Conclusion: Having taken advantages of AI, we identified old drugs with activities against FIP coronavirus. Further studies are underway to demonstrate their activities against SARS-CoV-2 in vitro and in vivo at clinically achievable concentrations and doses. With prior use experiences in patients, these old drugs if proven active against SARS-CoV-2 can readily be applied for fighting COVID-19 pandemic.http://www.sciencedirect.com/science/article/pii/S2319417020300494AIDNNCOVID-19SARS-CoV-2Feline coronavirusDrug repurposing |
| spellingShingle | Yi-Yu Ke Tzu-Ting Peng Teng-Kuang Yeh Wen-Zheng Huang Shao-En Chang Szu-Huei Wu Hui-Chen Hung Tsu-An Hsu Shiow-Ju Lee Jeng-Shin Song Wen-Hsing Lin Tung-Jung Chiang Jiunn-Horng Lin Huey-Kang Sytwu Chiung-Tong Chen Artificial intelligence approach fighting COVID-19 with repurposing drugs Biomedical Journal AI DNN COVID-19 SARS-CoV-2 Feline coronavirus Drug repurposing |
| title | Artificial intelligence approach fighting COVID-19 with repurposing drugs |
| title_full | Artificial intelligence approach fighting COVID-19 with repurposing drugs |
| title_fullStr | Artificial intelligence approach fighting COVID-19 with repurposing drugs |
| title_full_unstemmed | Artificial intelligence approach fighting COVID-19 with repurposing drugs |
| title_short | Artificial intelligence approach fighting COVID-19 with repurposing drugs |
| title_sort | artificial intelligence approach fighting covid 19 with repurposing drugs |
| topic | AI DNN COVID-19 SARS-CoV-2 Feline coronavirus Drug repurposing |
| url | http://www.sciencedirect.com/science/article/pii/S2319417020300494 |
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