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  • 1.
    Rögnvaldsson, Thorsteinn
    et al.
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
    You, Liwen
    Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
    Garwicz, Daniel
    Karolinska Institutet, Department of Molecular Medicine and Surgery, Karolinska University Hospital, SE-17176, Stockholm, Sweden.
    Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease: an overview2007In: Expert Review of Molecular Diagnostics, ISSN 1473-7159, E-ISSN 1744-8352, E-ISSN 1744-8352, Vol. 7, no 4, p. 435-451Article in journal (Refereed)
    Abstract [en]

    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.

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