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利用 RNA 干扰 (RNAi) 技术对抗 HIV-1 的抗病毒策略。

Antiviral Stratagems Against HIV-1 Using RNA Interference (RNAi) Technology.

机构信息

Bioinformatics and Medical Informatics Team, Biomedical Research Foundation, Academy of Athens, Athens, Greece.

出版信息

Evol Bioinform Online. 2013 May 16;9:203-13. doi: 10.4137/EBO.S11412. Print 2013.

Abstract

The versatility of human immunodeficiency virus (HIV)-1 and its evolutionary potential to elude antiretroviral agents by mutating may be its most invincible weapon. Viruses, including HIV, in order to adapt and survive in their environment evolve at extremely fast rates. Given that conventional approaches which have been applied against HIV have failed, novel and more promising approaches must be employed. Recent studies advocate RNA interference (RNAi) as a promising therapeutic tool against HIV. In this regard, targeting multiple HIV sites in the context of a combinatorial RNAi-based approach may efficiently stop viral propagation at an early stage. Moreover, large high-throughput RNAi screens are widely used in the fields of drug development and reverse genetics. Computer-based algorithms, bioinformatics, and biostatistical approaches have been employed in traditional medicinal chemistry discovery protocols for low molecular weight compounds. However, the diversity and complexity of RNAi screens cannot be efficiently addressed by these outdated approaches. Herein, a series of novel workflows for both wet- and dry-lab strategies are presented in an effort to provide an updated review of state-of-the-art RNAi technologies, which may enable adequate progress in the fight against the HIV-1 virus.

摘要

人类免疫缺陷病毒 (HIV)-1 的多功能性及其通过突变逃避抗逆转录病毒药物的进化潜力可能是其最强大的武器。病毒,包括 HIV,为了适应和在其环境中生存而以极快的速度进化。鉴于针对 HIV 应用的传统方法已经失败,必须采用新的、更有前途的方法。最近的研究提倡 RNA 干扰 (RNAi) 作为一种有前途的治疗 HIV 的工具。在这方面,针对组合 RNAi 方法背景下的多个 HIV 位点可能会在早期有效地阻止病毒的传播。此外,高通量 RNAi 筛选在药物开发和反向遗传学领域得到了广泛应用。基于计算机的算法、生物信息学和生物统计学方法已在传统药物化学发现方案中用于小分子化合物。然而,这些过时的方法无法有效地解决 RNAi 筛选的多样性和复杂性。在此,提出了一系列用于湿实验和干实验策略的新工作流程,努力提供对最先进的 RNAi 技术的最新综述,这可能会促进对抗 HIV-1 病毒的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa1d/3662398/c744eee33fb7/ebo-9-2013-203f1.jpg

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