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About:
IDentif.AI: Artificial Intelligence Pinpoints Remdesivir in Combination with Ritonavir and Lopinavir as an Optimal Regimen Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
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An Entity of Type :
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covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
IDentif.AI: Artificial Intelligence Pinpoints Remdesivir in Combination with Ritonavir and Lopinavir as an Optimal Regimen Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
Creator
Ding, Xianting
Hanson, Brendon
Le, Nguyen
Chan, Conrad
Blasiak, Agata
Desai, Rishi
Ho, Dean
Hooi, Lissa
Kee, Theodore
Truong, Anh
Gek, Shirley
Seah, Kheng
Chow, Kai-Hua
Chye, De
Lim, Jhin
Remus, Alexandria
Wong, San
Source
MedRxiv
abstract
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) has led to the rapid initiation of urgently needed clinical trials of repurposed drug combinations and monotherapies. These regimens were primarily relying on mechanism-of-action based selection of drugs, many of which have yielded positive in vitro but largely negative clinical outcomes. To overcome this challenge, we report the use of IDentif.AI, a platform that rapidly optimizes infectious disease (ID) combination therapy design using artificial intelligence (AI). In this study, IDentif.AI was implemented on a 12-drug candidate therapy search set representing over 530,000 possible drug combinations. IDentif.AI demonstrated that the optimal combination therapy against SARS-CoV-2 was comprised of remdesivir, ritonavir, and lopinavir, which mediated a 6.5-fold improvement in efficacy over remdesivir alone. Additionally, IDentif.AI showed hydroxychloroquine and azithromycin to be relatively ineffective. The identification of a clinically actionable optimal drug combination was completed within two weeks, with a 3-order of magnitude reduction in the number of tests typically needed. IDentif.AI analysis was also able to independently confirm clinical trial outcomes to date without requiring any data from these trials. The robustness of the IDentif.AI platform suggests that it may be applicable towards rapid development of optimal drug regimens to address current and future outbreaks.
has issue date
2020-05-08
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.04.20088104
has license
medrxiv
sha1sum (hex)
d1a5f5601ec8e1e2b04ffb93d461ae6c842e6ded
schema:url
https://doi.org/10.1101/2020.05.04.20088104
resource representing a document's title
IDentif.AI: Artificial Intelligence Pinpoints Remdesivir in Combination with Ritonavir and Lopinavir as an Optimal Regimen Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)
resource representing a document's body
covid:d1a5f5601ec8e1e2b04ffb93d461ae6c842e6ded#body_text
is
schema:about
of
named entity 'coronavirus disease 2019'
covid:arg/d1a5f5601ec8e1e2b04ffb93d461ae6c842e6ded
named entity 'repurposed'
named entity 'optimizes'
named entity 'initiation'
named entity 'selection'
named entity 'severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)'
named entity 'emergence'
named entity 'Artificial Intelligence'
named entity 'Remdesivir'
named entity 'SARS-CoV-2'
named entity 'lopinavir'
named entity 'combination therapy'
named entity 'Lopinavir'
named entity 'Remdesivir'
named entity 'COVID-19'
named entity 'clinical investigation'
named entity 'drug interactions'
named entity 'LPV'
named entity 'Vero E6'
named entity 'virus'
named entity 'preprint'
named entity 'azithromycin'
named entity 'MOA'
named entity 'peer review'
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named entity 'United States Food and Drug Administration'
named entity 'standard of care'
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named entity 'lopinavir'
named entity 'ritonavir'
named entity 'cytotoxicity'
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named entity 'antiviral activity'
named entity 'P-values'
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named entity 'Singapore'
named entity 'peer review'
named entity 'ritonavir'
named entity 'D.H.'
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named entity 'critical role'
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named entity 'preprint'
named entity 'preclinical'
named entity 'remdesivir'
named entity 'potential treatments'
named entity 'clinical trials'
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