Virtual screening-driven drug discovery of SARS-CoV2 enzyme inhibitors targeting viral attachment, replication, post-translational modification and host immunity evasion infection mechanisms.

The novel coronavirus SARS-CoV2, the causative agent of the pandemic disease COVID-19, emerged in December 2019 forcing lockdown of communities in many countries. The absence of specific drugs and vaccines, the rapid transmission of the virus, and the increasing number of deaths worldwide necessitated the discovery of new substances for anti-COVID-19 drug development. With the aid of bioinformatics and computational modelling, ninety seven antiviral secondary metabolites from fungi were docked onto five SARS-CoV2 enzymes involved in viral attachment, replication, post-translational modification, and host immunity evasion infection mechanisms followed by molecular dynamics simulation and in silico ADMET prediction (absorption, distribution, metabolism, excretion and toxicity) of the hit compounds. Thus, three fumiquinazoline alkaloids scedapin C (15), quinadoline B (19) and norquinadoline A (20), the polyketide isochaetochromin D1 (8), and the terpenoid 11a-dehydroxyisoterreulactone A (11) exhibited high binding affinities on the target proteins, papain-like protease (PLpro), chymotrypsin-like protease (3CLpro), RNA-directed RNA polymerase (RdRp), non-structural protein 15 (nsp15), and the spike binding domain to GRP78. Molecular dynamics simulation was performed to optimize the interaction and investigate the stability of the top-scoring ligands in complex with the five target proteins. All tested complexes were found to have dynamic stability. Of the five top-scoring metabolites, quinadoline B (19) was predicted to confer favorable ADMET values, high gastrointestinal absorptive probability and poor blood-brain barrier crossing capacities.Communicated by Ramaswamy H. Sarma.

Anti-HIV reverse transcriptase plant polyphenolic natural products with in silico inhibitory properties on seven non-structural proteins vital in SARS-CoV-2 pathogenesis.

BACKGROUND: Accessing COVID-19 vaccines is a challenge despite successful clinical trials. This burdens the COVID-19 treatment gap, thereby requiring accelerated discovery of anti-SARS-CoV-2 agents. This study explored the potential of anti-HIV reverse transcriptase (RT) phytochemicals as inhibitors of SARS-CoV-2 non-structural proteins (nsps) by targeting in silico key sites in the structures of SARS-CoV-2 nsps. One hundred four anti-HIV phytochemicals were subjected to molecular docking with nsp3, 5, 10, 12, 13, 15, and 16. Top compounds in complex with the nsps were investigated further through molecular dynamics. The drug-likeness and ADME (absorption, distribution, metabolism, and excretion) properties of the top compounds were also predicted using SwissADME. Their toxicity was likewise determined using OSIRIS Property Explorer. RESULTS: Among the top-scoring compounds, the polyphenolic functionalized natural products comprised of biflavones 1, 4, 11, 13, 14, 15; ellagitannin 9; and bisisoquinoline alkaloid 19 were multi-targeting and exhibited strongest binding affinities to at least two nsps (binding energy = - 7.7 to - 10.8 kcal/mol). The top ligands were stable in complex with their target nsps as determined by molecular dynamics. Several top-binding compounds were computationally druggable, showed good gastrointestinal absorptive property, and were also predicted to be non-toxic. CONCLUSIONS: Twenty anti-HIV RT phytochemicals showed multi-targeting inhibitory potential against SARS-CoV-2 non-structural proteins 3, 5, 10, 12, 13, 15, and 16. Our results highlight the importance of polyhydroxylated aromatic substructures for effective attachment in the binding/catalytic sites of nsps involved in post-translational mechanism pathways. As such with the nsps playing vital roles in viral pathogenesis, our findings provide inspiration for the design and discovery of novel anti-COVID-19 drug prototypes.