Beerenwinkel Niko, Sing Tobias, Lengauer Thomas, Rahnenführer Jörg, Roomp Kirsten, Savenkov Igor, Fischer Roman, Hoffmann Daniel, Selbig Joachim, Korn Klaus, Walter Hauke, Berg Thomas, Braun Patrick, Fätkenheuer Gerd, Oette Mark, Rockstroh Jürgen, Kupfer Bernd, Kaiser Rolf, Däumer Martin
Department of Mathematics, University of California, Berkeley, CA, USA.
Bioinformatics. 2005 Nov 1;21(21):3943-50. doi: 10.1093/bioinformatics/bti654. Epub 2005 Sep 6.
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.
耐药性的产生是成功治疗HIV感染的主要障碍。HIV异常的复制动态使其能够逃避人体免疫系统和联合药物疗法所施加的选择压力。我们已经开发了几种计算方法，联合使用这些方法能够为基于病毒基因组数据设计最佳抗逆转录病毒疗法提供支持。
