Novel Computational Approach for Identification of Highly Mutated Integrated HIV Genomes

K. Khanipov, L. Albayrak, G. Golovko, M. Pimenova, Ioannis T. Pavlidis, Y. Fofanov, K. Khanipov
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Abstract

More than 70 million people have been infected with the human immunodeficiency virus (HIV). There is no cure for HIV and modern treatment is only effective at delaying the onset of acquired immunodeficiency syndrome. Incorporated HIV serves as a reservoir for constant release of virions. Knowing the locations and quantity of HIV in the reservoirs can help guide development of complete treatment. Patient/Organ-specific HIV genome reconstruction allows to significantly improve detection of sequences originating from HIV. In this paper, we present a novel personalized medicine approach based on the reconstruction of patient/organ-specific HIV genome sequences in latent reservoirs.
一种新的计算方法用于鉴定高度突变的HIV整合基因组
7 000多万人感染了人类免疫缺陷病毒(艾滋病毒)。目前还没有治愈艾滋病毒的方法,现代治疗只能有效地延缓获得性免疫缺陷综合征的发病。合并的HIV作为病毒粒子不断释放的储存库。了解储层中HIV的位置和数量有助于指导全面治疗的开发。患者/器官特异性HIV基因组重建可以显著提高源自HIV的序列的检测。在本文中,我们提出了一种基于在潜伏库中重建患者/器官特异性HIV基因组序列的新型个性化医疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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