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About:
Screening and evaluation of potential clinically significant HIV drug combinations against SARS-CoV-2 virus
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
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
Screening and evaluation of potential clinically significant HIV drug combinations against SARS-CoV-2 virus
Creator
Davidović, Davor
Janđel, Vladimir
Lipić, Tomislav
Medved Rogina, Branka
Mesarić, Josip
Milković Periša, Marija
Petrik, Jozsef
Pirkić, Boris
Rezeli, Melinda
Skala, Karolj
Szasz, Attila
Tomić, Draško
Vrca, Vesna
Source
ArXiv
abstract
In this study, we investigated the inhibition of SARS-CoV-2 spike glycoprotein with HIV drugs and their combinations. This glycoprotein is essential for the reproduction of the SARS-COV-2 virus, so its inhibition opens new avenues for the treatment of patients with COVID-19 disease. In doing so, we used the VINI in silico model of cancer, whose high accuracy in finding effective drugs and their combinations was confirmed in vitro by comparison with existing results from NCI-60 bases, and in vivo by comparison with existing clinical trial results. In the first step, the VINI model calculated the inhibition efficiency of SARS-CoV-2 spike glycoprotein with 44 FDA-approved antiviral drugs. Of these drugs, HIV drugs have been shown to be effective, while others mainly have shown weak or no efficiency. Subsequently, the VINI model calculated the inhibition efficiency of all possible double and triple HIV drug combinations, and among them identified ten with the highest inhibition efficiency. These ten combinations were analyzed by Medscape drug-drug interaction software and LexiComp Drug Interactions. All combinations except the combination of cobicistat_abacavir_rilpivirine appear to have serious interactions (risk rating category D) when dosage adjustments/reductions are required for possible toxicity. Finally, the VINI model compared the inhibition efficiency of cobicistat_abacivir_rilpivirine combination with cocktails and individual drugs already used or planned to be tested against SARS-CoV-2. Combination cobicistat_abacivir_rilpivirine demonstrated the highest inhibition of SARS-CoV-2 spike glycoprotein over others. Thus, this combination seems to be a promising candidate for the further in vitro testing and clinical trials.
has issue date
2020-07-31
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xsd:dateTime
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has license
arxiv
sha1sum (hex)
7151dfcff77f3a1d6df7a1ee60bf24dfb2781848
resource representing a document's title
Screening and evaluation of potential clinically significant HIV drug combinations against SARS-CoV-2 virus
resource representing a document's body
covid:7151dfcff77f3a1d6df7a1ee60bf24dfb2781848#body_text
is
schema:about
of
named entity 'glycoprotein'
named entity 'combination'
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named entity 'essential'
named entity 'combination'
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named entity 'interactions'
named entity 'compared'
named entity 'inhibition'
named entity 'ESSENTIAL'
named entity 'REQUIRED'
named entity 'REPRODUCTION'
named entity 'MODEL OF'
named entity 'SOFTWARE'
named entity 'CATEGORY'
named entity 'BASES'
named entity 'software'
named entity 'cocktails'
named entity 'SARS-CoV-2'
named entity 'effective'
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named entity 'patients'
named entity 'combinations'
named entity 'calculated'
named entity 'promising'
named entity 'These'
named entity 'investigated'
named entity 'drug-drug interaction'
named entity 'disease'
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named entity 'SARS-CoV-2'
named entity 'glycoprotein'
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named entity 'HIV'
named entity 'SARS-CoV-2'
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named entity 'HIV drug'
named entity 'umifenovir'
named entity 'ACE2'
named entity 'SARS-CoV-2'
named entity 'lopinavir/ritonavir'
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named entity 'glycoprotein'
named entity 'hepatitis B virus'
named entity 'indinavir'
named entity 'bacterial infections'
named entity 'Croatia'
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named entity 'RSV'
named entity 'remdesivir'
named entity 'COVID-19'
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named entity 'clinical trials'
named entity 'Kaletra'
named entity 'glycoprotein'
named entity 'virtual screening'
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