Commentary


Nature Biotechnology 25, 1407 - 1410 (2007)
doi:10.1038/nbt1371

Bioinformatics prediction of HIV coreceptor usage

Thomas Lengauer1, Oliver Sander1, Saleta Sierra2, Alexander Thielen1 & Rolf Kaiser2


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.

Top
  1. Thomas Lengauer, Oliver Sander and Alexander Thielen are at the Max Planck Institute for Informatics, Computational Biology and Applied Bioinformatics, Campus E1 4, 66123 Saarbrücken, Germany. e-mail: lengauer@mpi-inf.mpg.de
  2. Saleta Sierra and Rolf Kaiser are at the Institute for Virology, University of Cologne, Fürst-Pückler-Strasse 56, 50935 Cologne, Germany


MORE ARTICLES LIKE THIS

These links to content published by NPG are automatically generated.

NEWS AND VIEWS

Evolution of the fittest ends in tragedy

Nature Medicine News and Views (01 May 1999)

HIV-1 entry inhibitors: Evading the issue

Nature Medicine News and Views (01 Jul 1999)

A chemokine trap for HIV co-receptors

Nature Medicine News and Views (01 Oct 1997)

Chemokine genes?beating the odds

Nature Medicine News and Views (01 Mar 1998)


Extra navigation

Subscribe to Nature Biotechnology

Subscribe

natureproducts


ADVERTISEMENT