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1.
Sci Rep ; 11(1): 23315, 2021 12 02.
Article in English | MEDLINE | ID: covidwho-1550334

ABSTRACT

The COVID-19 pandemic has highlighted the urgent need for the identification of new antiviral drug therapies for a variety of diseases. COVID-19 is caused by infection with the human coronavirus SARS-CoV-2, while other related human coronaviruses cause diseases ranging from severe respiratory infections to the common cold. We developed a computational approach to identify new antiviral drug targets and repurpose clinically-relevant drug compounds for the treatment of a range of human coronavirus diseases. Our approach is based on graph convolutional networks (GCN) and involves multiscale host-virus interactome analysis coupled to off-target drug predictions. Cell-based experimental assessment reveals several clinically-relevant drug repurposing candidates predicted by the in silico analyses to have antiviral activity against human coronavirus infection. In particular, we identify the MET inhibitor capmatinib as having potent and broad antiviral activity against several coronaviruses in a MET-independent manner, as well as novel roles for host cell proteins such as IRAK1/4 in supporting human coronavirus infection, which can inform further drug discovery studies.


Subject(s)
Antiviral Agents/pharmacology , Coronavirus/drug effects , Coronavirus/metabolism , Drug Development/methods , Drug Repositioning/methods , Benzamides/pharmacology , COVID-19/drug therapy , Cell Line , Computer Simulation , Coronavirus/chemistry , Databases, Pharmaceutical , Drug Discovery/methods , Host-Pathogen Interactions , Humans , Imidazoles/pharmacology , Interleukin-1 Receptor-Associated Kinases/metabolism , SARS-CoV-2/chemistry , SARS-CoV-2/drug effects , SARS-CoV-2/metabolism , SARS-CoV-2/physiology , Triazines/pharmacology
2.
J Med Virol ; 2021 Jan 06.
Article in English | MEDLINE | ID: covidwho-1217396

ABSTRACT

SARS CoV -2 infection is rapidly evolving as a serious global pandemic. The present study describes the clinical characteristics of SARS CoV-2 infection patients. The Samples were subjected to RT - PCR or Rapid Antigen test for diagnosis of SARS CoV- 2. A cohort of 3745 patients with confirmed diagnosis of SARS CoV -2 infection in a tertiary care center in New Delhi, India were included in this study. Data was collected from offline and online medical records over a period of six months. Amongst 3745 SARS CoV -2 infected patients, 2245 (60%) were symptomatic and 1500 (40%) were asymptomatic. Most common presenting symptom was cough (49.3%) followed febrile episodes (47.1%), breathlessness (42.7%) and sore throat (35.1%). Cough along with breathlessness (24.1) was the most common combination of symptoms followed by fever with cough (22.7). The most common comorbidity found among symptomatic group was diabetes (42.5%) followed by hypertension (21.4%) and chronic kidney disease (18%). Comorbidities like diabetes mellitus, chronic diseases of lungs, heart and kidneys were found to be common in symptomatic group and this was found to be statistically significant (p<0.05). COVID-19 is an evolving disease and data from our study help in understanding the clinic-epidemiological profile of patients. This article is protected by copyright. All rights reserved.

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