A combined sequence-structure approach for predicting resistance to the non-nucleoside HIV-1 reverse transcriptase inhibitor Nevirapine

Biophysical Chemistry

Volumn 153, Issue 2-3, 2011, Pages 168-172

  Ravich, Vadim L ^a   Masso, Majid ^a   Vaisman, Iosif I ^a  

^a GEORGE MASON UNIVERSITY   (United States)

Author keywords

Computational mutagenesis; Delaunay tessellation; HIV 1 drug resistance; Knowledge based statistical potential; Machine learning; Prediction

Indexed keywords

NEVIRAPINE; RNA DIRECTED DNA POLYMERASE; VIRUS VECTOR;

ALGORITHM; ANTIVIRAL RESISTANCE; ARTICLE; DRUG SENSITIVITY; GENE SEQUENCE; MATHEMATICAL MODEL; MUTAGENESIS; PHENOTYPE; PRIORITY JOURNAL; PROTEIN ISOLATION; PROTEIN STRUCTURE; SUPPORT VECTOR MACHINE; TASK PERFORMANCE;

DRUG RESISTANCE, VIRAL; GENETIC TESTING; GENETIC VECTORS; HIV INFECTIONS; HIV REVERSE TRANSCRIPTASE; HIV-1; HUMANS; MODELS, GENETIC; MUTATION; NEVIRAPINE; REVERSE TRANSCRIPTASE INHIBITORS;

HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 78651112937     PISSN: 03014622     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bpc.2010.11.004     Document Type: Article

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