基于计算支持的结构的发现,用于小分子aptamers的强大的结合剂
Qingtong Zhou1,2,3, Zheng Zhang4, Ling Gao5
1Research Center for Medicinal Structural Biology, National Research Center for Translational Medicine at Shanghai, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Journal of chemical theory and computation
|March 3, 2025
概括
阿普塔默对意想不到的分子表现出令人惊的结合亲和力,挑战了特异性假设. 计算方法揭示了新的结合潜力,并提供了调整药物发现的aptamer特异性的策略.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 药物发现 药物发现 药物发现
背景情况:
- 胺是基于核酸的结合剂,具有高度的亲和力和特异性.
- 目前用于阿普坦特异性表征的方法有限.
- 探索阿普坦结合剂的化学空间对于实际应用至关重要.
研究的目的:
- 开发一个计算框架来识别aptamer结合剂.
- 系统地探索aptamer结合的化学空间.
- 为了揭示aptamer的多功能性和增强目标的特异性.
主要方法:
- 高通量,基于三级结构的计算框架.
- 鉴定两种模型体的有力结合剂.
- 皮囊突变研究调整了阿普坦特异性.
主要成果:
- 一种与l-阿尔吉尼纳胺 (L-Arm) 结合的阿胺体对复原体伴侣R55.5的亲和力比较高31倍.
- 诺弗洛克萨和迪弗洛克萨对一种与OTA结合的阿胺酶的亲和力比OTA高10倍.
- 口袋突变改变了对L-Arm和norfloxacin的阿帕特马结合亲和力.
结论:
- 计算框架有效地识别了强有力的阿巴胺结合剂.
- 吸收剂-标相互作用比以前假设的更具多样性.
- 这些发现推动了对核酸向药物的发现和aptamer特异性调整.
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