In the field of pharmaceutical sciences, the drug discovery is an interdisciplinary approach by which new potential drug candidates are discovered. Traditionally, new drug molecules were discovered through identifying the active principles from natural sources or by serendipitous discovery. But it was time consuming and expensive. As a result, in the last few years there has been a technological switch in the methodology of drug design from synthetic approach to new computer-aided drug design (CADD) methods that expedite the drug discovery process and generate more accurate, viable lead compounds. In CADD process so many computational tools are used such as over viewing tools, homology modelling, and homology modelling programs, molecular dynamics, molecular docking and QSAR descriptors. The objective of this review article is to shed light on the role of computer aided drug design in drug discovery process.

1. Bharath, E. N. , S. N Manjula, A. Vijaychand, 2011: In Silico Drug Design Tool For Overcoming The Innovation Deficit In The Drug Discovery Process. International Journal of Pharmacy and Pharmaceutical Sciences, Vol 3, Issue 2,.
2. Choudhary L. K. , Shukla A. , Zade S. , Charde R. , 2011: (C. A. D. D. ) - A New - Modern Software Based Approach In Drug Design And Discovery. IJPC1
3. , 10?20.
4. Jorgensen, W. L. (2004): The many roles of computation in drug discovery. Science 303, 813–1818.
5. Kapetanovic IM. 2008:Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach. Chem Biol Interact. ; 171: 165- 176.
6. Luis Fernando Saraiva Macedo Timmers et al. 2009: Molecularmodeling, dynamics and docking studies of Purine Nucleoside Phosphorylase from Streptococcus Pyogenes Biophysical Chemistry 142, 7–16. Perdo and Hui lei, 2010. A systematic review on CADD: Docking and Scoring. JMPI. Page 47-51.
7. Perun T J, Propst C L. 1989: Computer-aided drug design: methods and applications. Marcel Dekker, INC. , New York, USA. : 2-15.
8. Pramo dkumar P Gupta, 2014: Computer Aided Drug Design and Discovery - An Economical Approach to Drug Discovery Industry. Austin J Biotechnol Bioeng. (4): 2.
9. Pranita P. Kore, Madhavi M. Mutha, Rishikesh V. Antre, Rajesh J. Oswal, Sandip S. Kshirsagar, 2012: Computer-Aided Drug Design: An Innovative Tool for Modelling. Open Journal of Medicinal Chemistry, 2, 139-148.
10. Qian Yang et al. 2008: Modelling the binding modes of Kv1. 5 potassium channel and blockers Journal of Molecular Graphics and Modelling 27, 178–187.
11. Rahman, M. M. , Md. Rezaul Karim, Md. Qamrul Ahsan, Abul Bashar Ripon Khalipha, Mohammed Raihan Chowdhury and Md Saifuzzaman, September 2012. Volume 1, Issue 2, Serial 5. D
12. Werner J. Geldenhuys et al. 2006: Optimizing the use of open-source software applications in drug discovery, Volume 11, Number 3/4 February.

Lead Compounds Homology Modelling Molecular Docking Qsar Descriptors.