Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease: an overview
- PMID: 17620050
- DOI: 10.1586/14737159.7.4.435
Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease: an overview
Abstract
HIV-1 protease has a broad and complex substrate specificity, which hitherto has escaped a simple comprehensive definition. This, and the relatively high mutation rate of the retroviral protease, makes it challenging to design effective protease inhibitors. Several attempts have been made during the last two decades to elucidate the enigmatic cleavage specificity of HIV-1 protease and to predict cleavage of novel substrates using bioinformatic analysis methods. This review describes the methods that have been utilized to date to address this important problem and the results achieved. The data sets used are also reviewed and important aspects of these are highlighted.
Comment in
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The importance of physicochemical characteristics and nonlinear classifiers in determining HIV-1 protease specificity.Bioengineered. 2016 Apr 2;7(2):65-78. doi: 10.1080/21655979.2016.1149271. Bioengineered. 2016. PMID: 27212259 Free PMC article.
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