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计算机辅助识别和设计用于多目标抑制分子急性髓性白血病网络的配体

Seyedeh Sadaf Asfa^1,2,3,4, Reza Arshinchi Bonab^1,2,3,4, Onur Önder^1,2

¹Izmir Biomedicine and Genome Center, 35340 Balçova, İzmir, Türkiye.

|November 9, 2024

概括

这项研究引入了一种基于网络的方法来对抗急性髓性白血病 (AML),通过设计多向药物组合和新型药物来克服治疗耐药性并实现缓解.

科学领域:

计算生物学计算生物学
药理学药理学是指药理学的学科.
在瘤学瘤学.

背景情况:

由于治疗失败和复发,急性髓性白血病 (AML) 存在挑战.
耐药性源于网络重新布线,需要多重准策略.

研究的目的:

开发基于网络的计算机辅助策略,用于设计针对AML的多向药物.
确定协同作用的药物组合和新型药物,以克服AML耐药性.

主要方法:

重建了AML细胞信号网络,以识别关键蛋白质枢纽.
采用一个贪的算法来选择针对多个中心的药物组合.
利用基于结构的de novo药物设计来开发新药剂.

主要成果:

已识别的药物组合 (阿米奥达龙,阿特尼莫尔等) 针对3-8个AML蛋白质中心.
在DNMT3A.上阐明的普罗卡因的作用机制.
设计了一种新型的三重向化合物 (C15H15NO5),用于以前没有向的环素 (A1,D2,E1).

结论:

开发了两个互补的策略:可重复使用的药物组合和一种新的新药.
这些策略旨在消灭AML网络以实现完全缓解.
这些发现支持在AML精准医学中优先进行临床前和临床测试.

关键词:

在 DNMT3A 中.急性骨髓性白血病 (AML) 是一种急性骨髓性白血病.骑行者是骑自行车的人.药物重用是为了改变药物的用途.药物设计是多个目标的药物设计.网络重新布线网络重新布线

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