TY - JOUR A1 - Westbrook, N. A1 - Henkel, Carsten A1 - Westbrook, C. I. A1 - Landragin, A. A1 - Labeyrie, G. A1 - Cognet, L. A1 - Savalli, V. A1 - Horvath, G. A1 - Aspect, Alain A1 - Moelmer, Klaus A1 - Courtois, J.-Y. A1 - Phillips, W. D. A1 - Kaiser, Rolf A1 - Bagnato, V. T1 - New physics with evanescent wave atomic mirrors : the van der Waals force and atomic diffraction N2 - 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. Y1 - 1998 ER - TY - JOUR A1 - Beerenwinkel, Niko A1 - Sing, Tobias A1 - Lengauer, Thomas A1 - Rahnenfuhrer, Joerg A1 - Roomp, Kirsten A1 - Savenkov, Igor A1 - Fischer, Roman A1 - Hoffmann, Daniel A1 - Selbig, Joachim A1 - Korn, Klaus A1 - Walter, Hauke A1 - Berg, Thomas A1 - Braun, Patrick A1 - Faetkenheuer, Gerd A1 - Oette, Mark A1 - Rockstroh, Juergen A1 - Kupfer, Bernd A1 - Kaiser, Rolf A1 - Daeumer, Martin T1 - Computational methods for the design of effective therapies against drug resistant HIV strains N2 - 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 Y1 - 2005 ER - TY - JOUR A1 - Cordes, Frank A1 - Kaiser, Rolf A1 - Selbig, Joachim T1 - Bioinformatics approach to predicting HIV drug resistance N2 - 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 Y1 - 2006 UR - http://www.expert-reviews.com/loi/erm U6 - https://doi.org/10.1586/14737159.6.2.207 SN - 1473-7159 ER -