Suppr超能文献

CavitOmiX 药物发现:用于虫媒病毒病的广谱增强型和副作用降低型抗病毒药物的工程设计。

CavitOmiX Drug Discovery: Engineering Antivirals with Enhanced Spectrum and Reduced Side Effects for Arboviral Diseases.

机构信息

Innophore GmbH, 8010 Graz, Austria.

Institute of Molecular Biosciences, University of Graz, 8010 Graz, Austria.

出版信息

Viruses. 2024 Jul 24;16(8):1186. doi: 10.3390/v16081186.

Abstract

Advancing climate change increases the risk of future infectious disease outbreaks, particularly of zoonotic diseases, by affecting the abundance and spread of viral vectors. Concerningly, there are currently no approved drugs for some relevant diseases, such as the arboviral diseases chikungunya, dengue or zika. The development of novel inhibitors takes 10-15 years to reach the market and faces critical challenges in preclinical and clinical trials, with approximately 30% of trials failing due to side effects. As an early response to emerging infectious diseases, CavitOmiX allows for a rapid computational screening of databases containing 3D point-clouds representing binding sites of approved drugs to identify candidates for off-label use. This process, known as drug repurposing, reduces the time and cost of regulatory approval. Here, we present potential approved drug candidates for off-label use, targeting the ADP-ribose binding site of non-structural protein 3. Additionally, we demonstrate a novel in silico drug design approach, considering potential side effects at the earliest stages of drug development. We use a genetic algorithm to iteratively refine potential inhibitors for (i) reduced off-target activity and (ii) improved binding to different viral variants or across related viral species, to provide broad-spectrum and safe antivirals for the future.

摘要

气候变化的加剧增加了未来传染病爆发的风险,特别是人畜共患病,这是通过影响病毒载体的丰度和传播来实现的。令人担忧的是,目前尚无针对某些相关疾病(如虫媒病毒病、登革热或寨卡病毒)的批准药物。新型抑制剂的开发需要 10-15 年才能进入市场,并在临床试验中面临关键挑战,大约 30%的试验因副作用而失败。作为对新发传染病的早期反应,CavitOmiX 允许对包含代表已批准药物结合位点的 3D 点云的数据库进行快速计算筛选,以识别用于标签外使用的候选药物。这个过程被称为药物重定位,它可以减少监管审批的时间和成本。在这里,我们提出了针对非结构蛋白 3 的 ADP-核糖结合位点的标签外使用的潜在批准药物候选物。此外,我们展示了一种新的计算药物设计方法,在药物开发的最早阶段考虑潜在的副作用。我们使用遗传算法来迭代改进潜在抑制剂,以实现(i)降低脱靶活性和(ii)改善与不同病毒变体或相关病毒种属的结合,为未来提供广谱和安全的抗病毒药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/478f/11360613/cd6164217dfa/viruses-16-01186-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验