在代谢流量分析和流量平衡分析中的模型验证和选择
Joshua A M Kaste1,2, Yair Shachar-Hill2
1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, USA.
Biotechnology progress
|November 24, 2023
概括
本研究审查了13C-代谢流量分析 (13C-MFA) 和流量平衡分析 (FBA) 的验证和模型选择. 它提出了一个新的框架,以提高生物和生物技术研究中的代谢模型的可靠性.
科学领域:
- 生物化学 生物化学
- 系统生物学 系统生物学
- 代谢工程是代谢工程.
背景情况:
- 13C-代谢流量分析 (13C-MFA) 和流量平衡分析 (FBA) 对于研究生化网络至关重要.
- 这些基于约束的方法在稳定状态下模拟新陈代谢,以估计或预测体内代谢流量.
- 虽然这些方法被广泛使用,但这些方法的验证和模型选择方法需要进一步开发.
研究的目的:
- 审查基于约束的代谢模型的验证和模型选择的当前状态.
- 讨论现有方法的局限性,特别是13C-MFA中的千平方合适性测试.
- 在13C-MFA中提出一种新的,用于模型验证和选择的综合框架.
主要方法:
- 审查有关代谢模型验证和选择的现有文献.
- 对13C-MFA的基平方适合性测试的分析.
- 开发一个新的验证和选择框架,包括代谢物池大小信息.
主要成果:
- 对代谢模型的现有验证和模型选择方法被低估了.
- 奇二测试在13C-MFA的定量验证和选择方面存在局限性.
- 结合代谢物池大小信息的新框架提供了改进的验证和选择.
结论:
- 强大的验证和选择程序对于提高对基于约束的代谢建模的信心至关重要.
- 拟议的框架可以提高13C-MFA的可靠性.
- 加强验证将促进流量平衡分析在生物技术中的更广泛应用.
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