SARS-CoV-2, a deadly coronavirus sparked COVID-19 pandemic around the globe. With an increased mutation rate, this infectious agent is highly transmissible inducing an escalated rate of infections and death everywhere. Hence, the discovery of a viable antiviral therapy option is urgent. Computational approaches have offered a revolutionary framework to identify novel antimicrobial treatment regimens and allow a quicker, cost-effective, and productive conversion into the health center by evaluating preliminary and safety investigations. The primary purpose of this research was to find plausible plant-derived antiviral small molecules to halt the viral entrance into individuals by clogging the adherence of Spike protein with human ACE2 receptor and to suppress their genome replication by obstructing the activity of Nsp3 (Nonstructural protein 3) and 3CLpro (main protease). An in-house library of 1163 phytochemicals were selected from the NPASS and PubChem databases for downstream analysis. Preliminary analysis with SwissADME and pkCSM revealed 149 finest small molecules from the large dataset. Virtual screening using the molecular docking scoring and the MM-GBSA data analysis revealed that three candidate ligands CHEMBL503 (Lovastatin), CHEMBL490355 (Sulfuretin), and CHEMBL4216332 (Grayanoside A) successfully formed docked complex within the active site of human ACE2 receptor, Nsp3, and 3CLpro, respectively. Dual method molecular dynamics (MD) simulation and post-MD MM-GBSA further confirmed efficient binding and stable interaction between the ligands and target proteins. Furthermore, biological activity spectra and molecular target analysis revealed that all three preselected phytochemicals were biologically active and safe for human use. Throughout the adopted methodology, all three therapeutic candidates significantly outperformed the control drugs (Molnupiravir and Paxlovid). Finally, our research implies that these SARS-CoV-2 protein antagonists might be viable therapeutic options. At the same time, enough wet lab evaluations would be needed to ensure the therapeutic potency of the recommended drug candidates for SARS-CoV-2.

This comprehensive study focuses on a checklist survey of wild mushrooms and documents their morphological variability and diversity at Jahangirnagar University, a natural and social forest area in Bangladesh. Through field studies on the campus grounds from June to October 2021, 60 samples were collected from which 40 species were identified by morphological characters, belonging to 33 genera, 26 families, and 10 orders. Most species were identified from the order Agaricales and the highest frequency (83.33%) from the orders Polyporales and Agaricales. The highest species abundance was 83.33% for Ganoderma spp., Crepidotus applanatus and the density was 70% for Marasmiellus candidus. The dominant species were Ganoderma spp., Coprinus disseminates, Marasmius spp., Schizophyllum commune, Calvulina coralloides. The wild mushrooms were prevalent in the natural forest areas of the Jahangirnagar University campus. As far as we are aware, this report is the very first work on wild mushrooms or macro-fungi on the campus of Jahangirnagar University. This survey shows that the campus grounds are enriched with a wide variety of wild mushrooms. Jahangirnagar University J. Biol. Sci. 11(1 & 2): 41-67, 2022 (June & December)