Combating Diseases with Computational Strategies Used for Drug Design and Discovery

Author(s): Farahnaz R. Makhouri, Jahan B. Ghasemi*

Journal Name: Current Topics in Medicinal Chemistry

Volume 18 , Issue 32 , 2018

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Graphical Abstract:


Computer-aided drug discovery (CADD) tools have provided an effective way in the drug discovery pipeline for expediting of this long process and economizing the cost of research and development. Due to the dramatic increase in the availability of human proteins as drug targets and small molecule information due to the advances in bioinformatics, cheminformatics, genomics, proteomics, and structural information, the applicability of in silico drug discovery has been extended. Computational approaches have been used at almost all stages in the drug discovery pipeline including target identification and validation, lead discovery and optimization, and pharmacokinetic and toxicity profiles prediction. As each area covers a variety of computational methods, it is unmanageable to assess comprehensively all areas of CADD applications or every aspect of an area in one review article. However, in this article, we tried to present an overview of computational methods used in almost all the areas concerned with drug design and highlight some of the recent successes.

Keywords: Target identification, Lead discovery and optimization, Virtual screening, Virtual docking, QSAR, Pharmacophore mapping, In silico ADMET/PBPK prediction.

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Article Details

Year: 2018
Published on: 21 January, 2019
Page: [2743 - 2773]
Pages: 31
DOI: 10.2174/1568026619666190121125106
Price: $65

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