Background: A knowledge of the pathology of asthma, a chronic disease of childhood, women and aged personnel and its curative measures have been developed and the rate of morbidity, mortality caused by the disease is at an alarmingly elevated level. Objective: The aim of this project is to focus on the generation of possible templates for the treatment of asthmatic conditions by using an in-silico biological analog method i.e. virtual screening technique following the de-novo ligand based drug design principles so as to synthesize, to analyze and to help decide which compounds to screen experimentally.Method: In this contemporary work, RCSB-PDB data bank -3D protein domains; PROTPARAM-primary structure analysis; SOPMA-seondary structure analysis; CASTp-Protein surface analysis; PROSITE-Motif identification; UNIPROT-Subcellular location; ACCELERY’S DISCOVERY STUDIO 2.1 softwares were used as platforms to perform the protein purification and minimization, docking, active site identification, combinatorial library creation, hydrogen bond screening, ADMETox screening respectively. Results and Conclusion: All these frameworks assist to provide data about the effectiveness of drug-receptor interactions for asthmatic therapy.