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arXiv 2602.16616stat.AP
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高通量筛选中池化设计与分析策略:应用于寻找新抗微生物药物

Design and Analysis Strategies for Pooling in High Throughput Screening: Application to the Search for a New Anti-Microbial

Michigan State University(密歇根州立大学);Henry Ford Health(亨利福特医疗);The Ohio State University(俄亥俄州立大学)

Byran Smucker, Benjamin Brennan, Emily Rego, Meng Wu, Zhihong Lin, Brian Ahmer, Blake Peterson

AI总结:

本文提出高通量筛选中池化设计与分析策略,应用于寻找新型抗微生物药物,探讨了多种池化方法并评估其效果。

摘要:

细菌对抗生素耐药性的增加是公共卫生领域的一个重大问题。应对这一需求的重要部分是发现和开发新的抗微生物策略。这些需要筛选潜在的新药,通常通过高通量筛选(HTS)来完成。传统上,HTS是通过每个孔检查一个化合物进行的,但更有效的方法是每个孔中合并多个化合物。在本工作中,我们研究了几种最近提出的池化构造方法以及多种池化高通量筛选分析方法,以指导从业者选择合适的方法。这是在将这些方法应用于寻找对抗细菌感染新药物的应用背景下进行的。我们讨论了广泛的试点研究以及小型筛选活动,并突显了池化方法的成功与挑战。

英文摘要:

A major public health issue is the growing resistance of bacteria to antibiotics. An important part of the needed response is the discovery and development of new antimicrobial strategies. These require the screening of potential new drugs, typically accomplished using high-throughput screening (HTS). Traditionally, HTS is performed by examining one compound per well, but a more efficient strategy pools multiple compounds per well. In this work, we study several recently proposed pooling construction methods, as well as a variety of pooled high-throughput screening analysis methods, in order to provide guidance to practitioners on which methods to use. This is done in the context of an application of the methods to the search for new drugs to combat bacterial infection. We discuss both an extensive pilot study as well as a small screening campaign, and highlight both the successes and challenges of the pooling approach.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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