Computational Drug Discovery Approach for Drug Design against Zika Virus

摘要

High Throughput Virtual Screening of various candidate molecules to predict the possibility for acting as inhibitors against NS5 protein of Zika Virus is done in this work. The ontology of NS5 protein of ZIKV is to replicate its viral RNA by enzyme RNA Dependent RNA polymerase and mechanize its viral RNA modification functionality by methyltransferase. Objective of the current study is to screen out potential inhibitor and design drug against NS5 protein which is largely encoded with above 600 amino acids having two subunits. This work will present a valuable opportunity to scientific community for the prediction of efficient novel therapeutic remedies for controlling Zika. The screened ligand could be used as a potential inhibitor against ZIKV.