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Bioinformatics prediction of HIV coreceptor usage.
Author(s):
Alexander Thielen
,
Rolf Kaiser
,
Oliver Sander
,
Thomas Lengauer
,
Saleta Sierra
Publication date:
2007-11-30
Journal:
Nature biotechnology
Keywords:
Antiviral Agents
,
administration & dosage
,
Binding Sites
,
Computational Biology
,
trends
,
Drug Design
,
HIV
,
drug effects
,
physiology
,
Protein Binding
,
Receptors, HIV
,
genetics
,
metabolism
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There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
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Author and article information
Journal
PubMed ID::
18066037
DOI::
10.1038/nbt1371
ScienceOpen disciplines:
Chemistry
Keywords:
Antiviral Agents
,
administration & dosage
,
Binding Sites
,
Computational Biology
,
trends
,
Drug Design
,
HIV
,
drug effects
,
physiology
,
Protein Binding
,
Receptors, HIV
,
genetics
,
metabolism
Data availability:
ScienceOpen disciplines:
Chemistry
Keywords:
Antiviral Agents
,
administration & dosage
,
Binding Sites
,
Computational Biology
,
trends
,
Drug Design
,
HIV
,
drug effects
,
physiology
,
Protein Binding
,
Receptors, HIV
,
genetics
,
metabolism
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