State of the art prediction of HIV-1 protease cleavage sites | Zendy

Thorsteinn Rögnvaldsson | Zendy; Liwen You | Zendy; Daniel Garwicz | Zendy

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State of the art prediction of HIV-1 protease cleavage sites

Author(s) -

Thorsteinn Rögnvaldsson,

Liwen You,

Daniel Garwicz

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu810

Subject(s) - protease , cleavage (geology) , hiv 1 protease , human immunodeficiency virus (hiv) , computer science , computational biology , substrate specificity , artificial intelligence , machine learning , classification scheme , protease inhibitor (pharmacology) , data mining , biology , virology , antiretroviral therapy , biochemistry , enzyme , viral load , paleontology , fracture (geology)

Understanding the substrate specificity of human immunodeficiency virus (HIV)-1 protease is important when designing effective HIV-1 protease inhibitors. Furthermore, characterizing and predicting the cleavage profile of HIV-1 protease is essential to generate and test hypotheses of how HIV-1 affects proteins of the human host. Currently available tools for predicting cleavage by HIV-1 protease can be improved.

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