@article{WestbrookHenkelWestbrooketal.1998,
  author    = {Westbrook, N. and Henkel, Carsten and Westbrook, C. I. and Landragin, A. and Labeyrie, G. and Cognet, L. and Savalli, V. and Horvath, G. and Aspect, Alain and Moelmer, Klaus and Courtois, J.-Y. and Phillips, W. D. and Kaiser, Rolf and Bagnato, V.},
  title     = {New physics with evanescent wave atomic mirrors : the van der Waals force and atomic diffraction},
  year      = {1998},
  abstract  = {After a brief introduction to the field of atom optics and to atomic mirrors, we present experimental results obtained in our group during the last two years while studying the reflection of rubidium atoms by an evanescent wave. These involve the first measurement of the van der Waals force between an atom in its ground state and a dielectric wall, as well as the demonstration of a reflection grating for atoms at normal incidence. We also consider the influence of quantum reflection and tunnelling phenomena. Further studies using the atomic mirror as a probe of the van der Waals interaction, and of very small surface roughness are briefly discussed.},
  language  = {en}
}
@article{BeerenwinkelSingLengaueretal.2005,
  author    = {Beerenwinkel, Niko and Sing, Tobias and Lengauer, Thomas and Rahnenfuhrer, Joerg and Roomp, Kirsten and Savenkov, Igor and Fischer, Roman and Hoffmann, Daniel and Selbig, Joachim and Korn, Klaus and Walter, Hauke and Berg, Thomas and Braun, Patrick and Faetkenheuer, Gerd and Oette, Mark and Rockstroh, Juergen and Kupfer, Bernd and Kaiser, Rolf and Daeumer, Martin},
  title     = {Computational methods for the design of effective therapies against drug resistant HIV strains},
  year      = {2005},
  abstract  = {The development of drug resistance is a major obstacle to successful treatment of HIV infection. The extraordinary replication dynamics of HIV facilitates its escape from selective pressure exerted by the human immune system and by combination drug therapy. We have developed several computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genomic data},
  language  = {en}
}
@article{CordesKaiserSelbig2006,
  author    = {Cordes, Frank and Kaiser, Rolf and Selbig, Joachim},
  title     = {Bioinformatics approach to predicting HIV drug resistance},
  issn      = {1473-7159},
  doi       = {10.1586/14737159.6.2.207},
  year      = {2006},
  abstract  = {The emergence of drug resistance remains one of the most challenging issues in the treatment of HIV-1 infection. The extreme replication dynamics of HIV facilitates its escape from the selective pressure exerted by the human immune system and by the applied combination drug therapy. This article reviews computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genotypic and phenotypic data. Genotypic assays are based on the analysis of mutations associated with reduced drug susceptibility, but are difficult to interpret due to the numerous mutations and mutational patterns that confer drug resistance. Phenotypic resistance or susceptibility can be experimentally evaluated by measuring the inhibition of the viral replication in cell culture assays. However, this procedure is expensive and time consuming},
  language  = {en}
}