Advances in the computational landscape for repurposed drugs against COVID-19.

Aronskyy, Illya; Masoudi-Sobhanzadeh, Yosef; Cappuccio, Antonio; Zaslavsky, Elena

Aronskyy, Illya; Masoudi-Sobhanzadeh, Yosef; Cappuccio, Antonio; Zaslavsky, Elena.

Affiliation

Aronskyy I; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Masoudi-Sobhanzadeh Y; Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Cappuccio A; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: antonio.cappuccio@mssm.edu.
Zaslavsky E; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: elena.zaslavsky@mssm.edu.

Drug Discov Today ; 26(12): 2800-2815, 2021 12.

Article in En | MEDLINE | ID: mdl-34339864

Subject(s)

Antiviral Agents/therapeutic use; COVID-19 Drug Treatment; Computational Biology; Drug Repositioning/methods; Computer Simulation; Databases, Factual; Drug Repositioning/trends; Humans; Machine Learning; Molecular Docking Simulation

Key words

COVID-19; Computational drug repurposing; Docking and molecular dynamics; SARS-CoV-2; Structure-guided machine learning; Virushost interaction network analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Antiviral Agents / Computational Biology / Drug Repositioning / COVID-19 Drug Treatment Type of study: Prognostic_studies Limits: Humans Language: En Journal: Drug Discov Today Journal subject: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2021 Document type: Article Affiliation country: United States Country of publication: United kingdom

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