Genetic and chemical knockdown: a complementary strategy for evaluating an anti-infective target.

Q2 Biochemistry, Genetics and Molecular Biology
Vasanthi Ramachandran, Ragini Singh, Xiaoyu Yang, Ragadeepthi Tunduguru, Subrat Mohapatra, Swati Khandelwal, Sanjana Patel, Santanu Datta
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引用次数: 10

Abstract

The equity of a drug target is principally evaluated by its genetic vulnerability with tools ranging from antisense- and microRNA-driven knockdowns to induced expression of the target protein. In order to upgrade the process of antibacterial target identification and discern its most effective type of inhibition, an in silico toolbox that evaluates its genetic and chemical vulnerability leading either to stasis or cidal outcome was constructed and validated. By precise simulation and careful experimentation using enolpyruvyl shikimate-3-phosphate synthase and its specific inhibitor glyphosate, it was shown that genetic knockdown is distinct from chemical knockdown. It was also observed that depending on the particular mechanism of inhibition, viz competitive, uncompetitive, and noncompetitive, the antimicrobial potency of an inhibitor could be orders of magnitude different. Susceptibility of Escherichia coli to glyphosate and the lack of it in Mycobacterium tuberculosis could be predicted by the in silico platform. Finally, as predicted and simulated in the in silico platform, the translation of growth inhibition to a cidal effect was able to be demonstrated experimentally by altering the carbon source from sorbitol to glucose.

Abstract Image

Abstract Image

Abstract Image

基因和化学敲除:评估抗感染靶标的互补策略。
药物靶标的公平性主要是通过其遗传易感性来评估的,工具包括反义和微rna驱动的敲除以及诱导靶蛋白的表达。为了提升抗菌靶点鉴定的过程,识别其最有效的抑制类型,构建并验证了一个计算机工具箱,用于评估其导致停滞或杀死结果的遗传和化学脆弱性。通过使用烯醇丙酮酰莽草酸-3-磷酸合成酶及其特异性抑制剂草甘膦进行精确的模拟和仔细的实验,表明基因敲低不同于化学敲低。还观察到,根据特定的抑制机制,即竞争性,非竞争性和非竞争性,抑制剂的抗菌效力可能是数量级不同。利用计算机平台可以预测大肠杆菌对草甘膦的敏感性和结核分枝杆菌对草甘膦的缺乏性。最后,正如在硅平台上预测和模拟的那样,通过将碳源从山梨醇改为葡萄糖,可以在实验中证明生长抑制转化为杀灭效果。
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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来源期刊
Advances and Applications in Bioinformatics and Chemistry
Advances and Applications in Bioinformatics and Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
6.50
自引率
0.00%
发文量
7
审稿时长
16 weeks
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