Bioinformatics prediction of HIV coreceptor usage

As sequencing technology and prediction algorithms improve, HIV genotyping and coreceptor usage prediction are likely to play an increasingly important role in guiding patient prognosis and treatment selection.

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Bibliographic Details
Published in:Nature biotechnology 2007-12, Vol.25 (12), p.1407-1410
Main Authors: Lengauer, Thomas, Sander, Oliver, Sierra, Saleta, Thielen, Alexander, Kaiser, Rolf
Format: Article
Language:English
Subjects:
Antiviral Agents - administration & dosage
Antiviral drugs
Binding Sites
Bioinformatics
Biological and medical sciences
Biotechnology
Computational Biology - trends
Drug Design
Fundamental and applied biological sciences. Psychology
General aspects
Health. Pharmaceutical industry
HIV - drug effects
HIV - physiology
Human immunodeficiency virus
Industrial applications and implications. Economical aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Miscellaneous
Pharmaceutical industry
Protein Binding
R&D
Receptors, HIV - drug effects
Receptors, HIV - genetics
Receptors, HIV - metabolism
Research & development
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Description
Summary:As sequencing technology and prediction algorithms improve, HIV genotyping and coreceptor usage prediction are likely to play an increasingly important role in guiding patient prognosis and treatment selection.
ISSN:1087-0156
1546-1696
DOI:10.1038/nbt1371