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Computer Aided Drug Design: A Promising Approach for Drug Discovery

IJCA Proceedings on National Conference on Advances in Computing Applications
© 2016 by IJCA Journal
NCACA 2016 - Number 1
Year of Publication: 2016
Sharma B.
Sharma S.

Sharma B. and Sharma S.. Article: Computer Aided Drug Design: A Promising Approach for Drug Discovery. IJCA Proceedings on National Conference on Advances in Computing Applications NCACA 2016(1):1-3, September 2016. Full text available. BibTeX

	author = {Sharma B. and Sharma S.},
	title = {Article: Computer Aided Drug Design: A Promising Approach for Drug Discovery},
	journal = {IJCA Proceedings on National Conference on Advances in Computing Applications},
	year = {2016},
	volume = {NCACA 2016},
	number = {1},
	pages = {1-3},
	month = {September},
	note = {Full text available}


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.


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