一个结构引导的激酶转录因子互动原子图谱揭示了基因组的对接景观
Ah-Ram Kim1, Kerui Huang1, Jared L Johnson2,3
1Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
这项研究使用AlphaFold-Multimer绘制蛋白激酶相互作用的地图,揭示了新的对接点和潜在的药物点. 该资源有助于理解细胞信号传递和设计酶调节器.
科学领域:
- *分子生物学和结构生物学.
- * 计算生物学和生物信息学.
- * 细胞信号传递和激酶功能.
背景情况:
- *蛋白激酶通过酸化调节细胞功能,但它们的结合伙伴相互作用在结构上尚不清楚.
- * 了解这些相互作用对于破译复杂的细胞信号网络至关重要.
研究的目的:
- * 创建一个结构导向的人类和Drosophila基因组图谱.
- * 为了确定新的蛋白质-蛋白质相互作用和全热点.
- * 为设计向激酶抑制剂提供资源.
主要方法:
- *使用AlphaFold-Multimer来预测蛋白质复杂结构.
- * 应用了一个界面意识的评分框架 (iLIS) 来分析预测.
- * 综合结构数据,已知生物相互作用和功能测定.
主要成果:
- * 创建了一个关于激酶相互作用的全面地图,证实已知的和发现新的相互作用.
- * 确定了与基性激酶相互作用的宿主体转录因子上的保存对接模式.
- *绘制了全热点,并证明了它们在抑制酶活性方面的潜力.
- * 在脂质代谢中发现了一种新的Sgg/GSK3和Hnf4调节机制.
结论:
- * 基因组图谱为了解酶介导信号提供了宝贵的资源.
- *已确定的对接图案和全位为药物发现提供了新的途径.
- * 这项工作有助于合理设计特定的激酶调节器.
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