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Bioinformatics prediction of HIV coreceptor usage

Nature Biotechnology volume 25, pages 1407–1410 (2007)Cite this article

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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Figure 1: Structural schema of the proposed molecular interaction between viral gp120 and human CCR5.

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Acknowledgements

We thank three anonymous reviewers for helpful comments on an earlier draft of this manuscript.

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Authors and Affiliations

  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. lengauer@mpi-inf.mpg.de,

    Thomas Lengauer, Oliver Sander & Alexander Thielen

  2. Saleta Sierra and Rolf Kaiser are at the Institute for Virology, University of Cologne, Fürst-Pückler-Strasse 56, 50935 Cologne, Germany,

    Saleta Sierra & Rolf Kaiser

Authors
  1. Thomas Lengauer
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Lengauer, T., Sander, O., Sierra, S. et al. Bioinformatics prediction of HIV coreceptor usage. Nat Biotechnol 25, 1407–1410 (2007). https://doi.org/10.1038/nbt1371

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