通过分子降解器中的绑定自由能量来量化合作性
Balint Dudas1,2, Christina Athanasiou3, Juan Carlos Mobarec3
1Department of Physics and Astronomy, University College London, London WC1E 6BT, U.K.
Journal of chemical theory and computation
|May 6, 2025
概括
我们开发了一种计算方法来发现稳定蛋白质-蛋白质相互作用 (PPI) 的分子. 这种方法准确地预测了针对蛋白质降解疗法的新药候选者.
科学领域:
- 生物化学 生化学
- 计算化学的计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 分子是一种新的治疗策略,可以稳定蛋白质-蛋白质相互作用 (PPI).
- 这使得能够准以前被认为是无毒的蛋白质.
- 了解合作结合是设计有效分子合物的关键.
研究的目的:
- 开发和验证一个用于选分子粘剂的计算协议.
- 准确评估三元复合体中的配体的合作结合.
- 为了识别针对蛋白质降解的强有力的分子降解剂.
主要方法:
- 独立于路径的免费能源计算以评估合作性.
- 组合联体和蛋白质自由能量扰动 (FEP) 用于三元结合分析.
- 大分子图书馆的高通量虚拟选.
主要成果:
- 计算协议准确地预测了联体诱导的PPI和降解潜力.
- 与大脑 (CRBN) - 伊卡罗斯复合物的实验数据进行比较证实了高准确度.
- 确定L4和L5是性能最高的分子,通过选发现了新的候选物.
结论:
- 开发的计算协议是有效的识别强大的分子粘剂.
- 这种方法推进了针对性蛋白质降解策略.
- 这些发现为分子在药物发现中的更广泛应用铺平了道路.
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