药物设计中的IMHB介导的化物:关注结构相关的PROTACs
Diego Garcia Jimenez1, Matteo Rossi Sebastiano1, Maura Vallaro1
1Molecular Biotechnology and Health Sciences Department, CASSMedChem, University of Torino, Via Nizza 44 Bis, Torino 10126, Italy.
由分子内键 (IMHBs) 驱动的分子象性可以改善药物特性. 本研究介绍了计算方法和预测指数 (cChameCS),用于在早期药物发现中设计更好的PROTAC.
科学领域:
- 药用化学 医学化学
- 计算机化药物设计技术
- 分子药理学分子药理学
背景情况:
- 像PROTACs这样的复杂分子通常具有较差的ADME特性.
- 分子黑性提供了一种克服这些局限性的策略.
- 针对BET蛋白的基于CRBN的PROTAC是一种相关的复杂分子类.
研究的目的:
- 开发和验证用于将黑性纳入药物设计中的"in silico"策略.
- 为了研究分子内键 (IMHBs) 在分子黑性中的作用.
- 创建用于评估药物候选物中黑猩猩的预测工具.
主要方法:
- 在基于CRBN的PROTAC中实验验证化物性.
- 开发用于 camaleonicity 评估的计算工具.
- 使用构造性采样和分子动力学模拟.
- 基于IMHBs.定义一个嵌合体性预测指数 (cChameCS).
主要成果:
- 证实IMHB形成是分子黑性的主要驱动因素.
- 使用实验数据验证了新的计算策略.
- 开发了cChameCS,这是一个用于早期风性预测的快速索引.
- 鉴定出了IMHB的动态模式,这些动态模式对混沌至关重要.
结论:
- 分子黑性可以通过计算预测,并在药物设计中加以利用.
- 开发的策略和cChameCS指数有助于优化PROTAC的物理化学特性.
- 拟议的工作流程有助于设计混沌的PROTAC,以优化线.
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