Author: Prussia, Andrew J.; Chennamadhavuni, Spandan
                    Title: Biostructural Models for the Binding of Nucleoside Analogs to SARS-CoV-2 RNA-Dependent RNA Polymerase  Cord-id: u2ypywn3  Document date: 2021_3_3
                    ID: u2ypywn3
                    
                    Snippet: [Image: see text] SARS-CoV-2 is a positive-sense RNA virus that requires an RNA-dependent RNA polymerase (RdRp) for replication of its viral genome. Nucleoside analogs such as Remdesivir and β-d-N(4)-hydroxycytidine are antiviral candidates and may function as chain terminators or induce viral mutations, thus impairing RdRp function. Recently disclosed Cryo-EM structures of apo, RNA-bound, and inhibitor-bound SARS-CoV-2 RdRp provided insight into the inhibitor-bound structure by capturing the e
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: [Image: see text] SARS-CoV-2 is a positive-sense RNA virus that requires an RNA-dependent RNA polymerase (RdRp) for replication of its viral genome. Nucleoside analogs such as Remdesivir and β-d-N(4)-hydroxycytidine are antiviral candidates and may function as chain terminators or induce viral mutations, thus impairing RdRp function. Recently disclosed Cryo-EM structures of apo, RNA-bound, and inhibitor-bound SARS-CoV-2 RdRp provided insight into the inhibitor-bound structure by capturing the enzyme with its reaction product: Remdesivir covalently bound to the RNA primer strand. To gain a structural understanding of the binding of this and several other nucleoside analogs in the precatalytic state, molecular models were developed that predict the noncovalent interactions to a complex of SARS-CoV-2 RdRp, RNA, and catalytic metal cations. MM-GBSA evaluation of these interactions is consistent with resistance-conferring mutations and existing structure–activity relationship (SAR) data. Therefore, this approach may yield insights into antiviral mechanisms and guide the development of experimental drugs for COVID-19 treatment.
 
  Search related documents: 
                                Co phrase  search for related documents- active form and low energy: 1, 2
 
                                Co phrase  search for related documents, hyperlinks ordered by date