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The process of Drug discovery and design (DDD) research is challenging, time consuming and expensive task which critically depends on a computerized mathematical systems, databases and novel disciplines. Computational methods can be used to assist and speed up the drug design and discovery process. Computer based DDD (CDDD) tools can act as a simulated shortcut, supporting in the expedition of this long process and theoretically reducing the cost of research and development. Moreover, cumulative information of organic structures, as well as increasing computer power have made it possible to  use  computational  methods excellently in various phases of the drug discovery and development pipeline. This article focuses a brief overview of classical techniques in DDD with their limitations, and outlines current soft computing based techniques in drug design and discovery.



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