Title |
Natural polymorphisms and unusual mutations in HIV-1 protease with potential antiretroviral resistance: a bioinformatic analysis
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Published in |
BMC Bioinformatics, March 2014
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DOI | 10.1186/1471-2105-15-72 |
Pubmed ID | |
Authors |
Carlos Mata-Munguía, Martha Escoto-Delgadillo, Blanca Torres-Mendoza, Mario Flores-Soto, Mildred Vázquez-Torres, Francisco Gálvez-Gastelum, Arturo Viniegra-Osorio, Marcelo Castillero-Manzano, Eduardo Vázquez-Valls |
Abstract |
The correlations of genotypic and phenotypic tests with treatment, clinical history and the significance of mutations in viruses of HIV-infected patients are used to establish resistance mutations to protease inhibitors (PIs). Emerging mutations in human immunodeficiency virus type 1 (HIV-1) protease confer resistance to PIs by inducing structural changes at the ligand interaction site. The aim of this study was to establish an in silico structural relationship between natural HIV-1 polymorphisms and unusual HIV-1 mutations that confer resistance to PIs. |
X Demographics
Geographical breakdown
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Russia | 1 | 20% |
Norway | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
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Italy | 1 | 2% |
Canada | 1 | 2% |
Unknown | 46 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 10 | 21% |
Student > Master | 8 | 17% |
Student > Doctoral Student | 7 | 15% |
Student > Bachelor | 4 | 8% |
Student > Ph. D. Student | 3 | 6% |
Other | 6 | 13% |
Unknown | 10 | 21% |
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Chemistry | 5 | 10% |
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Nursing and Health Professions | 3 | 6% |
Other | 8 | 17% |
Unknown | 9 | 19% |