About: Artificial intelligence approach fighting COVID-19 with repurposing drugs

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Artificial intelligence approach fighting COVID-19 with repurposing drugs
Creator	Lee, Shiow-Ju Yeh, Teng-Kuang Hung, Hui-Chen Lin, Jiunn-Horng Sytwu, Huey-Kang »more»
source	Elsevier; Medline; PMC
abstract	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. MATERIAL AND 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.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1016/j.bj.2020.05.001
bibo:pmid	32426387
has license	no-cc
sha1sum (hex)	6e8e38f33035fd67b4e603ff02814ef1c112375d
schema:url	https://doi.org/10.1016/j.bj.2020.05.001
resource representing a document's title	Artificial intelligence approach fighting COVID-19 with repurposing drugs
has PubMed Central identifier	PMC7227517
has PubMed identifier	32426387
schema:publication	Biomed J
resource representing a document's body	covid:6e8e38f33035fd67b4e603ff02814ef1c112375d#body_text
is schema:about of	named entity 'repurposing' named entity 'cytotoxicity' named entity 'FIP' named entity 'ethanol' named entity 'COVID-19' »more»

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