Drug discovery is highly technology-intensive and interdisciplinary process which integrates the various scientific fields such as chemistry, biology, pharmacology, pharmaceutics, and computational sciences. Since the drug discovery process requires much time and resources, it would be very beneficial to find efficient ways to reduce the cost. Molecular modeling and Computer-Aided Drug Design (CADD) are the interdisciplinary fields which could accelerate the entire process and save time, money, and efforts. As field of bioinformatics gets expanded, computational technologies are playing more and more important roles in various fields of drug discovery. It has been utilized throughout the entire steps of drug discovery including target identification, target validation, lead discovery, lead optimization, and in silico ADME/Tox prediction. This talk will cover our recent applications for drug design and discovery of therapeutically important enzyme, GPCR, ion channel and other membrane proteins based on the integrated state-of-the-art technologies. In addition to the drug design and data analysis using target-structure based drug design, ligand-based design, and cheminformatics, applications of novel approaches will be presented such as multiple receptor conformations and network analysis of the protein structures.