自动设计的联结物到多药学资料的联结物
Jérémy Besnard1, Gian Filippo Ruda, Vincent Setola
1Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK.
Nature
|December 14, 2012
概括
设计具有特定多目标配置文件的药物具有挑战性. 本研究提出了一种自动化方法,用于设计对多种药物标的配体,在预测中达到75%的准确性,并证明体内目标参与.
科学领域:
- 计算化学和药物发现
- 药理学和药物化学 药理学和药物化学
背景情况:
- 药物的有效性和安全性取决于全蛋白质组的活动概况.
- 针对多种蛋白质的药物的合理设计是复杂和困难的.
- 需要先验设计药物设计方法,根据多个目标配置文件.
研究的目的:
- 引入一种新的方法,用于对抗多种药物标的连接体的自动设计.
- 证明该方法在将现有药物演变为具有所需多药学或选择性概况的新型配体中的实用性.
主要方法:
- 开发了一种自动化的计算方法,用于设计针对多目标配置文件的联体.
- 将该方法应用于已批准的乙胆酶抑制剂.
- 药物进化为可以穿透大脑的配体,具有特定的多药理或对G蛋白结合受体的选择性.
主要成果:
- 通过实验测试了800个前性设计的配体,达到75%的预测准确度.
- 在体内成功地证明了设计带的目标参与.
- 成功进化了具有量身定制的多药理学和选择性概况的配体.
结论:
- 自动化连接体设计方法对于创建具有所需多目标配置文件的药物是有效的.
- 这种方法可以加速药物发现,特别是对于需要多药理或高选择性的疾病.
- 这种方法为复杂的治疗需求提供了宝贵的药物线索来源.
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