Prediction of potential inhibitors against SARS-CoV-2 endoribonuclease: RNA immunity sensing.

Al-Rashedi, Nihad A M; Munahi, Murad G; Ah ALObaidi, Laith

Al-Rashedi, Nihad A M; Munahi, Murad G; Ah ALObaidi, Laith.

Affiliation

Al-Rashedi NAM; Department of Biology, College of Science, Al-Muthanna University, Samawah, Iraq.
Munahi MG; Department of Chemistry, College of Science, Al-Muthanna University, Samawah, Iraq.
Ah ALObaidi L; Department of Biology, College of Science, Al-Muthanna University, Samawah, Iraq.

J Biomol Struct Dyn ; 40(11): 4879-4892, 2022 07.

Article in En | MEDLINE | ID: mdl-33357040

Subject(s)

Antiviral Agents; Endoribonucleases; SARS-CoV-2; Viral Nonstructural Proteins; Antiviral Agents/chemistry; Antiviral Agents/pharmacology; Endoribonucleases/antagonists & inhibitors; Endoribonucleases/chemistry; Humans; Molecular Docking Simulation; Molecular Dynamics Simulation; RNA, Viral; SARS-CoV-2/drug effects; Viral Nonstructural Proteins/antagonists & inhibitors; Viral Nonstructural Proteins/chemistry; COVID-19 Drug Treatment

Key words

COVID-19; Nsp15 endoribonuclease; SARS-CoV-2; drug repurposing; molecular dynamics; virtual screening/molecular docking

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Antiviral Agents / Viral Nonstructural Proteins / Endoribonucleases / SARS-CoV-2 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biomol Struct Dyn Year: 2022 Document type: Article Affiliation country: Iraq Country of publication: United kingdom

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