Computational methods play a central role in modern drug discovery process. It includes the design and management of small molecule libraries, initial hit identification through virtual screening, optimization of the affinity as well as selectivity of hits and improving the physicochemical properties of the lead compounds. In this review article, computational drug designing approaches have been elucidated and discussed. The key considerations and guidelines for virtual chemical library design and whole drug discovery process. Traditional approach for discovery of a new drug is a costly and time consuming affair besides not being so productive. A number of potential reasons witness choosing the In-silico method of drug design to be a more wise and productive approach. There is a general perception that applied science has not kept pace with the advances of basic science. Therefore, there is a need for the use of alternative tools to get answers on efficacy and safety faster, with more certainty and at lower cost. In-silico drug design can play a significant role in all stages of drug development from the initial lead designing to final stage clinical development.
Non Structural protein 3 (NS3) constitute protease, helicase and polymerase that are essential for dengue virus replication. The aim of the present study is to block the replication of the virus by targeting the NS3 Protein. The retrieved sequences of NS3 protein from National Centre for Biotechnology information (NCBI) shows that the antigenic sites of the protein are highly variable in all the four serotypes of dengue virus (DENV) i.e. DENV I, DENV II, DENV III and DENV IV. DENV III found to be most distantly related serotype among all the serotypes studied using UPGMA method. The 3D structure of NS3 protein was modeled using homology modeling by MODELLER 9v8. Evaluation of the constructed NS3 protein models were done by PROCHECK, WhatIf using Exome Horizon. The derived compounds of mycophenolic acid and ribavirin were docked as ligands to the constructed models of NS3 protein using Autodock 4.2 for Protein-ligand interaction study.
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