使用Netflux进行基于逻辑的生物网络建模
Alexander P Clark1, Mukti Chowkwale1, Alexander Paap1
1Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States of America.
bioRxiv : the preprint server for biology
|January 31, 2024
概括
Netflux是一个用户友好的,无需编程的工具,用于模拟复杂的分子网络. 本教程指导用户构建网络模型并预测细胞对干扰的反应.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 分子信号传输的方法
背景情况:
- 分子信号网络控制关键的细胞决策,如增殖和亡.
- 这些网络涉及数百个相互连接的蛋白质,基因和生物过程.
- 计算建模有助于理解,但通常需要高级编程技能.
研究的目的:
- 推出Netflux,一个用户友好的,无需编程的网络模拟工具.
- 为构建网络模型和模拟对干扰的响应提供一个教程.
- 授权研究人员构建和利用预测网络模型.
主要方法:
- 描述Netflux软件工具及其功能.
- 在Netflux中构建网络模型的逐步教程.
- 关于模拟网络动态和对遗传或蛋白质干扰的反应的指导.
主要成果:
- Netflux可以在没有编程的情况下构建预测网络模型.
- 该教程有助于理解扰动如何通过信号和基因调节网络传播.
- 十多年来,Netflux在推动细胞决策的理解方面发挥了重要作用.
结论:
- 网流使生物网络的计算建模民主化.
- 该工具和教程使研究人员能够探索复杂的分子相互作用.
- 这种方法可以深入了解细胞决策过程.
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