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对反感性寡核酸抗生素的in-silico研究

Erica S Chen¹, Eric S Ho¹

¹Biology, Lafayette College, Easton, PA, United States.

|November 29, 2023

概括

一个新的生物信息学管道确定了对抗药物耐药细菌的反感性寡核酸 (ASO) 抗生素的潜在目标. 这种方法加速了对无法治疗的感染的新疗法的开发.

科学领域:

计算生物学计算生物学
抗微生物药物发现抗微生物药物发现
基因组学就是基因组学.

背景情况:

抗生素耐药性是一个日益严重的全球卫生危机,导致无法治疗的感染.
新抗生素的开发受到细菌蛋白质结构的确定耗时过程的阻碍.
反感性寡核酸 (ASO) 为抗生素开发提供了一个新的基于RNA的治疗平台.

研究的目的:

开发一种生物信息学管道,用于识别重要细菌基因中的强有力的反感性寡核酸 (ASO) 标.
通过简化标识,促进新抗生素候选物的发现.

主要方法:

分析了来自 *P. gingivalis*, *H. influenzae* 和 *S. aureus* 的重要细菌基因.
一个生物信息学管道过了基因的特异性和可访问性,产生了ASO候选者.
ASO候选人根据杂交分数,化温度和操作位置进行排名.

主要成果:

该管道确定了1117个可谓的ASO目标在P. gingivalis*,847在H. influenzae*,和7061在S. aureus*.
已识别的点与关键细菌过程 (如翻译和细胞分裂) 有关.
开发的管道成功确定了关键细菌病原体中的独特和可访问的ASO目标.

结论:

生物信息学管道是发现针对有问题的细菌物种的新型ASO目标的有效工具.
这种方法可以加速开发新的反感性寡核酸 (ASO) 抗生素,以对抗抗菌素耐药性.

关键词:

抗生素抗生素是一种抗生素.抗生素耐药性抗生素耐药性这是一种反意义的寡核酸.生物信息学是一种生物信息学.

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