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Volumn , Issue , 2010, Pages 1836-1839
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A signal processing-based Bioinformatics approach to assessing drug resistance: Human Immunodeficiency Virus as a case study
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Author keywords
[No Author keywords available]
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Indexed keywords
BIOINFORMATICS METHODS;
BIOMEDICAL DATA;
DIGITAL SIGNALS;
DRUG RESISTANCE;
EXPERIMENTAL ANALYSIS;
EXPERIMENTAL PROCEDURE;
HIV/AIDS;
HUMAN IMMUNODEFICIENCY VIRUS;
PEAK AMPLITUDE;
PROTEIN RESIDUES;
RESISTANT STRAINS;
SPECTRUM METHOD;
THERAPEUTIC AGENTS;
TRANSMEMBRANE GLYCOPROTEINS;
AMINO ACIDS;
BIOINFORMATICS;
BIOLOGY;
DISEASES;
EXPERIMENTS;
LABORATORIES;
PROTEINS;
SIGNAL PROCESSING;
VIRUSES;
ANTI HUMAN IMMUNODEFICIENCY VIRUS AGENT;
DARUSENTAN;
ENFUVIRTIDE;
GLYCOPROTEIN GP 41;
LAMIVUDINE;
PEPTIDE FRAGMENT;
PHENYLPROPIONIC ACID DERIVATIVE;
PYRIMIDINE DERIVATIVE;
AMINO ACID SEQUENCE;
ARTICLE;
BIOLOGY;
DRUG RESISTANCE;
HUMAN;
HUMAN IMMUNODEFICIENCY VIRUS;
HUMAN IMMUNODEFICIENCY VIRUS INFECTION;
METABOLISM;
METHODOLOGY;
MOLECULAR GENETICS;
MUTATION;
SIGNAL PROCESSING;
AMINO ACID SEQUENCE;
ANTI-HIV AGENTS;
COMPUTATIONAL BIOLOGY;
DRUG RESISTANCE;
HIV;
HIV ENVELOPE PROTEIN GP41;
HIV INFECTIONS;
HUMANS;
LAMIVUDINE;
MOLECULAR SEQUENCE DATA;
MUTATION;
PEPTIDE FRAGMENTS;
PHENYLPROPIONATES;
PYRIMIDINES;
SIGNAL PROCESSING, COMPUTER-ASSISTED;
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EID: 78650817470
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/IEMBS.2010.5626439 Document Type: Conference Paper |
Times cited : (4)
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References (20)
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