Molecular characterization of interactions between the D614G variant of SARS-CoV-2 S-protein and neutralizing antibodies: A computational approach.

The D614G variant of SARS-CoV-2 S-protein emerged in early 2020 and quickly became the dominant circulating strain in Europe and its environs. The variant was characterized by the higher viral load, which is not associated with disease severity, higher incorporation into the virion, and high cell entry via ACE-2 and TMPRSS2. Previous strains of the coronavirus and the current SARS-CoV-2 have demonstrated the selection of mutations as a mechanism of escaping immune responses. In this study, we used molecular dynamics simulation and MM-PBSA binding energy analysis to provide insights into the behaviour of the D614G S-protein at the molecular level and describe the neutralization mechanism of this variant. Our results show that the D614G S-protein adopts distinct conformational dynamics which is skewed towards the open-state conformation more than the closed-state conformation of the wild-type S-protein. Residue-specific variation of amino acid flexibility and domain-specific RMSD suggest that the mutation causes an allosteric conformational change in the RBD. Evaluation of the interaction energies between the S-protein and neutralizing antibodies show that the mutation may enhance, reduce or not affect the neutralizing interactions depending on the neutralizing antibody, especially if it targets the RBD. The results of this study have shed insights into the behaviour of the D614G S-protein at the molecular level and provided a glimpse of the neutralization mechanism of this variant.

Targeting the SARS-CoV2 nucleocapsid protein for potential therapeutics using immuno-informatics and structure-based drug discovery techniques.

The occurrence of the SARS-CoV2 infection has become a worldwide threat and the urgent need to discover therapeutic interventions remains paramount. The primary roles of the coronavirus nucleocapsid (N) protein are to interact with the viral genome and pack them into ribonucleoprotein complex. It also plays critical roles at many stages of the viral life cycle. Herein, we explore the N protein of SARS-CoV2 to identify promising epitope-based vaccine candidates and target the N-terminal domain of SARS-CoV2 N-protein for potential inhibitors using an integrative bioinformatics approach. We identified B-cell epitopes and T-cell epitopes that are non-toxic, non-allergenic, capable of inducing IFN-γ and structurally stable with high global population coverage of response. The 404SKQLQQSMSSADS416 and 92RRIRGGDGKMKDL104 sequences of N-protein were identified to induce B-cell immunity. We also identified 79SSPDDQIGY87 and 305AQFAPSASAFFGMSR319 as potential T-cell epitopes that form stable structures with human leucocyte antigens. We have also identified zidovudine triphosphate, an anti-HIV agent, as a potential inhibitor of the N-terminal domain of SARS-CoV2 N-protein based on docking and simulation analysis and should be considered for experimental validations. The findings of this study can help fast-track the discovery of therapeutic options to combat COVID-19.