通过层次结构信息和分子动力学模拟,发现了高度生物活性
Shu Li1, Lu Peng2,3,4, Liuqing Chen5
1Centre of Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao SAR 999078, China.
Journal of chemical information and modeling
|October 28, 2024
概括
我们开发了PepHiRe,这是一种用于设计类药物的新计算方法. 这种方法有效地产生潜在的抑制剂,在实验测试中显示出对癌症相关蛋白质的高活性.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 生物信息学是一种生物信息学.
背景情况:
- 类药物设计面临着计算成本,数据需求和可解释性方面的挑战.
- 像分子对接,MD模拟和深度学习这样的现有方法都有局限性.
- 骨髓细胞白血病-1 (MCL-1) 是一种与癌症相关的蛋白质,用于治疗干预.
研究的目的:
- 介绍PepHiRe,这是一个创新的计算方法,用于高效的类药物设计.
- 将PepHiRe应用于开发针对MCL-1的新型BH3类抑制剂.
- 克服传统体设计方法的局限性.
主要方法:
- 在序列中利用层次结构信息.
- 采用基于算法信息理论的梯子路策略.
- 应用分子动力学 (MD) 模拟用于查和体外试验.
主要成果:
- PepHiRe成功地从八个已知的BH3中获得了次序.
- 产生了针对MCL-1的新型BH3类.
- 合成的五种体显示出高的抑制活性 (IC50:28.13167.42 nM).
结论:
- PepHiRe提供了一个高效和可解释的白盒模型用于酸设计.
- 结构化选管道有助于识别生物活性.
- 这种方法对开发用于癌症的新疗法具有前景.
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