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Using X-ray images and deep learning for automated detection of coronavirus disease
Taylor & Francis Verlag | 2021| -
In-silico homology assisted identification of inhibitor of RNA binding against 2019-nCoV N-protein (N terminal domain)
Taylor & Francis Verlag | 2021| -
Discovery of potential multi-target-directed ligands by targeting host-specific SARS-CoV-2 structurally conserved main protease
Taylor & Francis Verlag | 2021| -
Identification of chymotrypsin-like protease inhibitors of SARS-CoV-2 via integrated computational approach
Taylor & Francis Verlag | 2021| -
Moroccan Medicinal plants as inhibitors against SARS-CoV-2 main protease: Computational investigations
Taylor & Francis Verlag | 2021| -
Reverse vaccinology approach to design a novel multi-epitope vaccine candidate against COVID-19: an in silico study
Taylor & Francis Verlag | 2021| -
Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatics approach
Taylor & Francis Verlag | 2022| -
Stilbene-based natural compounds as promising drug candidates against COVID-19
Taylor & Francis Verlag | 2021| -
In-silico approaches to detect inhibitors of the human severe acute respiratory syndrome coronavirus envelope protein ion channel
Taylor & Francis Verlag | 2021| -
Repurposing approved drugs as inhibitors of SARS-CoV-2 S-protein from molecular modeling and virtual screening
Taylor & Francis Verlag | 2021| -
Novel 2019 coronavirus structure, mechanism of action, antiviral drug promises and rule out against its treatment
Taylor & Francis Verlag | 2021|
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