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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References
Lengauer, T. & Sing, L. Nat. Rev. Microbiol. 4, 790–797 (2006).
Opar, A. Nat. Rev. Drug Discov. 6, 258–259 (2007).
Cahn, P. & Sued, O. Lancet 369, 1235–1236 (2007).
Berger, E.A., Murphy, P.M. & Farber, J.M. Annu. Rev. Immunol. 17, 657–700 (1999).
Wolinsky, S.M. et al. Science 255, 1134–1137 (1992).
Novembre, J., Galvani, A.P. & Slatkin, M. PLoS Biol. 3, e339 (2005).
Regoes, R.R. & Bonhoeffer, S. Trends Microbiol. 13, 269–277 (2005).
Westby, M. & van der Ryst, E. Antivir. Chem. Chemother. 16, 339–354 (2005).
Rusconi, S. et al. Curr. Top. Med. Chem. 7, 1273–1289 (2007).
Dorr, P. et al. Antimicrob. Agents Chemother. 49, 4721–4732 (2005).
Moore, J.P. et al. AIDS Res. Hum. Retroviruses 20, 111–126 (2004).
Mori, J. et al. Antivir. Ther. 12, S12 (2007).
Schuitemaker, H. et al. J. Virol. 66, 1354–1360 (1992).
Trouplin, V. et al. J. Virol. 75, 251–259 (2001).
Coakley, E., Petropoulos, C.J. & Whitcomb, J.M. Curr. Opin. Infect. Dis. 18, 9–15 (2005).
Skrabal, K. et al. J. Clin. Microbiol. 45, 279–284 (2007).
Jensen, M.A. & van't Wout, A.B. AIDS Rev. 5, 104–112 (2003).
Lehmann, C. et al. J. Clin. Virol. 37, 300–304 (2006).
Pastore, C. et al. J. Virol. 80, 750–758 (2006).
Sing, T., Beerenwinkel, N. & Lengauer, T. in Proceedings of the 1st International Workshop on ROC Analysis in Artificial Intelligence (ROCAI 2004) (eds. Hernández-Orallo, J. et al.) 89–96 (IOS Press, Amsterdam, 2004).
Pillai, S. et al. AIDS Res. Hum. Retroviruses 19, 145–149 (2003).
Jensen, M.A. et al. J. Virol. 77, 13376–13388 (2003).
Poveda, E. et al. AIDS 21, 1487–1490 (2007).
Sing, T. et al. Antivir. Ther. 12, 1097–1106 (2007).
Low, A.J. et al. AIDS 21, F17–F24 (2007).
Sander, O. et al. PLoS Comput.Biol. 3, e58 (2007).
Wilkin, T.J. et al. Clin. Infect. Dis. 44, 591–595 (2007).
Brumme, Z.L. et al. J. Infect. Dis. 192, 466–474 (2005).
Lewis, M. et al. Antivir. Ther. 12, S65 (2007).
Huang, C.C. et al. Science 310, 1025–1028 (2005).
Liu, S., Fan, S. & Sun, Z. J. Mol. Model. 9, 329–336 (2003).
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We thank three anonymous reviewers for helpful comments on an earlier draft of this manuscript.
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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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DOI: https://doi.org/10.1038/nbt1371
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