细胞间通信指导细胞内基因调节关系的预测
Zhecheng Zhou1,2, Zhen Li3, Yunfei Xie1
1School of Data Science and Artificial Intelligence, Wenzhou University of Technology, 325027 Wenzhou, China.
Journal of chemical information and modeling
|January 6, 2026
概括
这项研究引入了一个计算框架,通过整合细胞通信和基因网络来预测基因调节. 它将细胞外信号模拟为基因表达,增强生物洞察力.
科学领域:
- 计算生物学是一种计算生物学.
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 通过连接体受体信号传递进行细胞通信对于基因表达和细胞功能至关重要.
- 现有的方法无法捕捉细胞通信和基因调节网络之间的协同相互作用.
- 目前的方法无法构建完整的蜂通信网络,限制了生物解释.
研究的目的:
- 开发一个用于预测细胞内基因调节关系的计算框架.
- 构建全面的蜂通信网络.
- 解决目前用于建模细胞通信和基因调节的方法的局限性.
主要方法:
- 一个端到端的计算框架,整合了联体受体相互作用,信号通路和转录因子网络.
- 深度学习模型用于准确预测受体介导的调节关系.
- 适用于各种空间转录基因数据集.
主要成果:
- 该框架成功地预测了受体介导的基因调节关系.
- 在各种空间转录基因数据中证明了效率.
- 为揭示生物过程提供了宝贵的工具.
结论:
- 拟议的框架增强了对由细胞通信驱动的细胞内机制的理解.
- 它提供了一个更完整和可解释的蜂通信网络模型.
- 这种方法推进了对生物系统中基因调节的研究.
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