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一种具有高吞吐量能力的适应性、针对性强的筛选方法,用于确定抗疟化合物的作用速度和阶段特异性。

An adaptable, fit-for-purpose screening approach with high-throughput capability to determine speed of action and stage specificity of anti-malarial compounds.

机构信息

Discovery Biology, School of Environment and Science, Griffith University, Griffith, Australia.

The Walter and Eliza Hall Institute of Medical Research, The University of Melbourne, Parkville, Australia.

出版信息

Antimicrob Agents Chemother. 2024 Oct 8;68(10):e0074624. doi: 10.1128/aac.00746-24. Epub 2024 Sep 12.

Abstract

A revamped compound identification and activity profiling approach is required to meet the large unmet need for new anti-malarial drugs to combat parasite drug resistance. Although compound hit identification utilizing high-throughput screening of large compound libraries is well established, the ability to rapidly prioritize such large numbers for further development is limited. Determining the speed of action of anti-malarial drug candidates is a vital component of malaria drug discovery, which currently occurs predominantly in lead optimization and development. This is due in part to the capacity of current methods which have low throughput due to the complexity and labor intensity of the approaches. Here, we provide an adaptable screening paradigm utilizing automated high content imaging, including the development of an automated schizont maturation assay, which collectively can identify anti-malarial compounds, classify activity into fast and slow acting, and provide an indication of the parasite stage specificity, with high-throughput capability. By frontloading these critical biological parameters much earlier in the drug discovery pipeline, it has the potential to reduce lead compound attrition rates later in the development process. The capability of the approach in its alternative formats is demonstrated using three Medicines for Malaria Venture open access compound "boxes," namely Pathogen Box (malaria set-125 compounds), Global Health Priority Box [Malaria Box 2 (80 compounds) and zoonotic neglected diseases (80 compounds)], and the Pandemic Response Box (400 compounds). From a total of 685 compounds tested, 79 were identified as having fast ring-stage-specific activity comparable to that of artemisinin and therefore of high priority for further consideration and development.

摘要

需要一种经过改进的化合物鉴定和活性分析方法,以满足对抗寄生虫药物耐药性的新型抗疟药物的巨大未满足需求。虽然利用高通量筛选大型化合物库进行化合物命中鉴定已经得到很好的建立,但快速确定这些大量化合物以供进一步开发的能力有限。确定候选抗疟药物的作用速度是疟疾药物发现的一个重要组成部分,目前主要发生在先导优化和开发中。部分原因是由于当前方法的通量低,因为这些方法的复杂性和劳动强度高。在这里,我们提供了一种利用自动化高内涵成像的适应性筛选范式,包括开发自动化裂殖体成熟测定法,这两者共同可以识别抗疟化合物,将活性分类为快速和缓慢作用,并提供寄生虫阶段特异性的指示,具有高通量能力。通过在药物发现管道中更早地加载这些关键的生物学参数,有可能降低后期开发过程中先导化合物的损耗率。该方法的替代格式的能力通过三种疟疾药物风险投资公司开放获取化合物“盒子”进行了演示,即病原体盒子(疟疾集 125 种化合物)、全球健康优先盒子[疟疾盒子 2(80 种化合物)和人畜共患被忽视的疾病(80 种化合物)]和大流行应对盒子(400 种化合物)。在总共测试的 685 种化合物中,有 79 种被鉴定为具有快速环阶段特异性活性,与青蒿素相当,因此具有很高的进一步考虑和开发的优先级。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2471/11459970/b37b5c7ad4e1/aac.00746-24.f001.jpg

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