NADPHnet:通过基于网络的方法预测用于调节NADPH代谢的化合物的新策略
Fei Pan1, Cheng-Nuo Wang1, Zhuo-Hang Yu1
1Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
Acta pharmacologica Sinica
|June 20, 2024
概括
基于网络的新策略NADPHnet识别了关键蛋白质和药物标,用于调节尼古丁胺胺二核酸 (NADPH) 代谢. 这种方法有助于发现天然化合物,如氧化,用于治疗糖尿病和癌症等复杂疾病.
科学领域:
- 生物化学 生化学
- 系统生物学 系统生物学
- 药理学 药理学是指药理学的学科.
背景情况:
- 调节NADPH代谢对于理解和治疗复杂疾病至关重要.
- NADPH代谢的复杂性质对治疗干预提出了重大挑战.
- 目前的方法往往集中在单个蛋白质上,限制了全面的分析.
研究的目的:
- 介绍NADPHnet,一种基于网络的新策略,用于预测NADPH代谢中的关键蛋白质和药物向相互作用.
- 为选调节NADPH代谢的化合物提供全面的方法.
- 通过准NADPH代谢来确定具有复杂疾病治疗潜力的天然产品.
主要方法:
- 利用基于网络的方法来识别NADPH代谢中的关键调节蛋白.
- 开发了一个综合得分,NADPH-Score,以描述天然产品的影响.
- 使用NADPHnet与分子对接结合,以选一个自然产品库.
主要成果:
- 在外部验证中,NADPHnet表现出更好的准确性和更广泛的适用性领域.
- 从自然产品库中确定了27种化合物,其中6种化合物对细胞NADPH水平具有度依赖的影响.
- 氧基柏林在10μM时表现出显著的效果,这表明糖尿病和癌症的潜在治疗机制.
结论:
- NADPHnet提供了一种有希望和全面的方法来预测NADPH代谢的调节剂.
- 这项研究通过提供一种新的查策略,促进了复杂疾病的药物发现.
- 氧基柏林 (Oxyberberine) 成为一种潜在的治疗剂,对代谢和瘤疾病有影响.
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