通过应用AlphaFold结构和生成模型发现新型和选择性SIK2抑制剂
Wei Zhu1, Xiaosong Liu1, Qi Li1
1Insilico Medicine Shanghai Ltd., Shanghai 201203, China.
Bioorganic & medicinal chemistry
|July 19, 2023
概括
研究人员确定了一种新型化合物,8g,向盐诱导酶2 (SIK2) 作为潜在的抗癌和抗炎疗法. 这种高效和选择性抑制剂是使用人工智能驱动的药物设计和合成发现的.
科学领域:
- 药用化学 医学化学
- 药物发现 药物发现 药物发现
- 生物化学 生物化学
背景情况:
- 盐诱导性激酶2 (SIK2) 是一种被公认的炎症和癌症治疗点.
- 现有的抑制剂为结构-活性关系 (SAR) 研究提供了基础.
研究的目的:
- 发现新型SIK2抑制剂,其强度和选择性得到改善.
- 探索人工智能驱动的方法用于酶抑制剂的发现.
主要方法:
- 利用AI生成模型 (Chemistry42) 来设计基于AlphaFold结构的链核心支架.
- 执行分子对接,化学合成和生成化合物的生物评估.
- 进行SAR勘探以优化化合物.
主要成果:
- 确定了一种针对SIK2的新型击中分子 (7f).
- 与现有抑制剂相比,化合物8g显示出对SIK2的更强效.
- 化合物8g对其他AMPK激酶具有很高的选择性,并且在体外呈现出有利的ADMET概况.
结论:
- 该研究提出了一种成功的AI驱动策略,用于发现强效和选择性激酶抑制剂.
- 化合物8g代表了进一步开发抗炎和抗癌疗法的有希望的候选者.
- 这种方法为新酶抑制剂的发现提供了替代途径.
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