Cargando…
Computational Analysis of Molecular Interaction Networks Underlying Change of HIV-1 Resistance to Selected Reverse Transcriptase Inhibitors
MOTIVATION: Despite more than two decades of research, HIV resistance to drugs remains a serious obstacle in developing efficient AIDS treatments. Several computational methods have been developed to predict resistance level from the sequence of viral proteins such as reverse transcriptase (RT) or p...
Autores principales: | Kierczak, Marcin, Dramiński, Michał, Koronacki, Jacek, Komorowski, Jan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3020081/ https://www.ncbi.nlm.nih.gov/pubmed/21234299 http://dx.doi.org/10.4137/BBI.S6247 |
Ejemplares similares
-
A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome
por: Kierczak, Marcin, et al.
Publicado: (2009) -
Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival
por: Dabrowski, Michal J., et al.
Publicado: (2018) -
Rapid Screening of HIV Reverse Transcriptase and Integrase Inhibitors
por: Smith, Steven J., et al.
Publicado: (2014) -
Approved HIV reverse transcriptase inhibitors in the past decade
por: Li, Guangdi, et al.
Publicado: (2022) -
APOBEC3 selects V179I in HIV-1 reverse transcriptase to provide selective advantage for non-nucleoside reverse transcriptase inhibitor-resistant mutants
por: Dwivedi, Richa, et al.
Publicado: (2022)