Recent Advances in the Development of Antiviral Agents Using Computer-aided Structure Based Approaches

Author(s): Vikash Kumar, Sharat Chandra, Mohammad Imran Siddiqi.

Journal Name: Current Pharmaceutical Design

Volume 20 , Issue 21 , 2014

Abstract:

Viral diseases have been affecting the human race since ancient times. Currently, a long list of diseases caused by the viruses is available and extensive research in this area has resulted in understanding the finest details of the molecular mechanism of pathogenesis caused by these pathogens. Side by side, efforts have been made towards the search and design of antiviral agents that could interfere with viral pathogenesis. As a result of these efforts a number of effective antiviral agents have been developed and are available in the market. However, the high cost and lengthy protocol of the drug discovery process are some of the major limiting factors in the development of new and more effective antiviral agents. Considering the above fact, presently the research community is trying to integrate short and cost effective techniques in the modern drug discovery process for the identification and design of novel antiviral agents. Computeraided drug design (CADD), which comprises of various techniques like molecular docking, virtual screening, three dimensional quantitative structure activity relationship (3D-QSAR) studies and many more, has the capability to speed up the antiviral drug development process. Successful design of antiviral drugs like Relenza, Saquinavir and Tamiflu have validated application of these techniques and holds a bright future in drug discovery protocol. This review explores the role of CADD in antiviral drug development and highlights the recent advances in antiviral drug research using computer-aided structure based approaches.

Keywords: Viral diseases, CADD, molecular docking, virtual screening.

Rights & PermissionsPrintExport Cite as

Article Details

VOLUME: 20
ISSUE: 21
Year: 2014
Page: [3488 - 3499]
Pages: 12
DOI: 10.2174/13816128113199990636
Price: $58

Article Metrics

PDF: 28