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Bioinformatic approaches for modeling the substrate specificity of HIV-1 protease: an overview
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. (Inflammation)
2007 (English)In: Expert Review of Molecular Diagnostics, ISSN 1473-7159, E-ISSN 1744-8352, Vol. 7, no 4, p. 435-451Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
2007. Vol. 7, no 4, p. 435-451
Keywords [en]
Computational Biology/*methods/*trends, HIV-1/*enzymology, Humans, Models; Chemical, Peptide Hydrolases/*chemistry/*metabolism, Substrate Specificity/physiology
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-16940DOI: 10.1586/14737159.7.4.435PubMedID: 17620050OAI: oai:DiVA.org:uu-16940DiVA, id: diva2:44711
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Publikation från annat universitet

Available from: 2008-06-10 Created: 2008-06-10 Last updated: 2017-12-08

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Publisher's full textPubMedhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Retrieve&list_uids=17620050&dopt=Citation

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Garwicz, Daniel

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