Accurate prediction of HIV-1 drug response from the reverse transcriptase and protease amino acid sequences using sparse models created by convex optimization

Bioinformatics

Volumn 22, Issue 5, 2006, Pages 541-549

  Rabinowitz, Matthew ^a,b   Myers, Lance ^c   Banjevic, Milena ^a   Chan, Albert ^a   Sweetkind Singer, Joshua ^a,b   Haberer, Jessica ^a   McCann, Kelly ^a,d   Wolkowicz, Roland ^a,d  

^a Gene Security Network   (United States)

^b STANFORD UNIVERSITY   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d STANFORD UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABACAVIR; AMINO ACID; AMPRENAVIR; ANTIRETROVIRUS AGENT; ATAZANAVIR; DIDANOSINE; EFAVIRENZ; INDINAVIR; LAMIVUDINE; LOPINAVIR; NELFINAVIR; NEVIRAPINE; PROTEINASE; PROTEINASE INHIBITOR; RITONAVIR; RNA DIRECTED DNA POLYMERASE; RNA DIRECTED DNA POLYMERASE INHIBITOR; SAQUINAVIR; STAVUDINE; TENOFOVIR; ZALCITABINE; ZIDOVUDINE;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; DRUG RESPONSE; DRUG SENSITIVITY; GENOTYPE PHENOTYPE CORRELATION; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN IMMUNODEFICIENCY VIRUS 1; IN VITRO STUDY; MEDICAL DECISION MAKING; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RELIABILITY; SEQUENCE ANALYSIS; STATISTICAL MODEL; VIRAL GENETICS;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 33644855246     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btk011     Document Type: Article

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