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Title
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Lead expansion and virtual screening of Indinavir derivate HIV-1 protease inhibitors using pharmacophoric - shape similarity scoring function
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Authors
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Sergey Shityakov*, Thomas Dandekar
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Affiliation |
Department of Bioinformatics, Biocenter of the University of Würzburg, 97074 Würzburg, Germany
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Article Type
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Hypothesis | |
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Date
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Received October 16, 2009; Revised November 07, 2009; Accepted November 16, 2009; Published January 20, 2010
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Abstract |
Indinavir (Crivaxan®) is a potent inhibitor of the HIV (human immunodeficiency virus) protease. This enzyme has an important role in viral replication and is considered to be very attractive target for new antiretroviral drugs. However, it becomes less effective due to highly resistant new viral strains of HIV, which have multiple mutations in their proteases. For this reason, we used a lead expansion method to create a new set of compounds with a new mode of action to protease binding site. 1300 compounds chemically diverse from the initial hit were generated and screened to determine their ability to interact with protease and establish their QSAR properties. Further computational analyses revealed one unique compound with different protease binding ability from the initial hit and its role for possible new class of protease inhibitors is discussed in this report.
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Keywords |
protease; Indinavir; lead expansion; docking; pharmacophore
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Citation
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Shityakov & Dandekar, Bioinformation 4(7): 295-299 (2010) | |
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Edited by
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P. Kangueane
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ISSN
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0973-2063
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Publisher
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Biomedical Informatics
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License
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This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |