Difference between revisions of "Publications:Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease : an overview"

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(Created page with "<div style='display: none'> == Do not edit this section == </div> {{PublicationSetupTemplate|Author=Thorsteinn Rögnvaldsson, Liwen You, Daniel Garwicz |PID=239220 |Name=Rögn...")
 
 
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|Name=Rögnvaldsson, Thorsteinn [denni] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905], Halmstad Embedded and Intelligent Systems Research (EIS) [3938]);You, Liwen [liyo] (Högskolan i Halmstad [2804], Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) [3905]);Garwicz, Daniel (Karolinska Institutet, Department of Molecular Medicine and Surgery, Karolinska University Hospital, SE-17176, Stockholm, Sweden)
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|Name=Rögnvaldsson, Thorsteinn (denni) (0000-0001-5163-2997) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));You, Liwen (liyo) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905));Garwicz, Daniel (Karolinska Institutet, Department of Molecular Medicine and Surgery, Karolinska University Hospital, SE-17176, Stockholm, Sweden)
 
|Title=Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease : an overview
 
|Title=Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease : an overview
 
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Latest revision as of 21:41, 30 September 2016

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Title Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease : an overview
Author
Year 2007
PublicationType Journal Paper
Journal Expert Review of Molecular Diagnostics
HostPublication
Conference
DOI http://dx.doi.org/10.1586/14737159.7.4.435
Diva url http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239220
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.