The present-day world is severely suffering from the recently emerged SARS-CoV-2. The lack of prescribed drugs for the deadly virus has stressed the likely need to identify novel inhibitors to alleviate and stop the pandemic. In the present high throughput virtual screening study, we used in silico techniques like receptor-ligand docking, Molecular dynamic (MD), and ADME properties to screen natural compounds. It has been documented that many natural compounds display antiviral activities, including anti-SARS-CoV effect. The present study deals with compounds of Natural Product Activity and Species Source (NPASS) database with known biological activity that probably impedes the activity of six essential enzymes of the virus. Promising drug-like compounds were identified, demonstrating better docking score and binding energy for each druggable targets. After an extensive screening analysis, three novel multi-target natural compounds were predicted to subdue the activity of three/ more major drug targets simultaneously. Concerning the utility of natural compounds in the formulation of many therapies, we propose these compounds as excellent lead candidates for the development of therapeutic drugs against SARS-CoV-2.
Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
The Zika virus is a rapidly spreading Aedes mosquito-borne sickness, which creates an unanticipated linkage birth deformity and neurological turmoil.This study represents the use of the combinatorial immunoinformatics approach to develop a multiepitope subunit vaccine using the structural and nonstructural proteins of the Zika virus. The designed subunit vaccine consists of cytotoxic T-lymphocyte and helper T-lymphocyte epitopes accompanied by suitable adjuvant and linkers. The presence of humoral immune response specific B-cell epitopes was also confirmed by B-cell epitope mapping among vaccine protein. Further, the vaccine protein was characterized for its allergenicity, antigenicity, and physiochemical parameters and found to be safe and immunogenic. Molecular docking and molecular dynamics studies of the vaccine protein with the toll-like receptor-3 were performed to ensure the binding affinity and stability of their complex. Finally, in silico cloning was performed for the effective expression of vaccine construct in the microbial system (Escherichia coli K12 strain). Aforementioned approaches result in the multiepitope subunit vaccine which may have the ability to induce cellular as well as humoral immune response. Moreover, this study needs the experimental validation to prove the immunogenic and protective behavior of the developed subunit vaccine. K E Y W O R D S adjuvant, epitope, subunit vaccine, vaccine, Zika virus (ZKV)
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.