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A phylogenetic and Markov model approach for the reconstruction of mutational pathways of drug resistance
Author(s) -
Patricia Buendia,
Brice Cadwallader,
Victor DeGruttola
Publication year - 2009
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/btp466
Subject(s) - biology , phylogenetic tree , computational biology , drug resistance , genetics , viral evolution , hepatitis b virus , mutation , genome , virus , virology , gene
Modern HIV-1, hepatitis B virus and hepatitis C virus antiviral therapies have been successful at keeping viruses suppressed for prolonged periods of time, but therapy failures attributable to the emergence of drug resistant mutations continue to be a distressing reminder that no therapy can fully eradicate these viruses from their host organisms. To better understand the emergence of drug resistance, we combined phylogenetic and statistical models of viral evolution in a 2-phase computational approach that reconstructs mutational pathways of drug resistance.

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