将建模和模拟可信度标准调整为计算系统生物学
Lillian T Tatka1, Lucian P Smith2, Joseph L Hellerstein3
1Department of Bioengineering, University of Washington, Seattle, WA, USA. ltatka@uw.edu.
Journal of translational medicine
|July 26, 2023
概括
计算模型对于科学和医学的决策至关重要. 本研究审查了系统生物学模型的可信度标准,并提出了一个新的,关键的评估系统.
科学领域:
- 在科学,工程和医学领域进行计算建模和模拟.
- 计算模型在高风险决策过程中的应用.
- 为科学模型制定可信度标准.
背景情况:
- 计算模型越来越多地被NASA,FDA和EMA等组织用于复杂的实验和监管批准.
- 由于评估范围广泛,计算模型的现有可信度标准往往是定性的.
- 系统生物学建模是一个具有现有标准的专业领域,面临越来越多的复杂性和影响.
研究的目的:
- 审查系统生物学中现有的可信度标准.
- 检查在其他科学,工程和医疗领域使用的可信度标准.
- 为系统生物学模型提出开发一个特定的可信度评估系统.
主要方法:
- 对当前系统生物学建模标准的文献综述.
- 分析美国宇航局,FDA和EMA使用的可信度评估框架.
- 对模型可信度的定性和定量方法的比较研究.
主要成果:
- 识别系统生物学中现有的可信度标准,尽管是定性标准.
- 在更广泛的科学和监管领域承认多样化,通常是定性化的可信度标准.
- 强调需要一个更明确的可信度评估系统,适合系统生物学.
结论:
- 可信度评估对于在高风险决策中可靠使用计算模型至关重要.
- 现有的质量标准需要为系统生物学开发一个更具体,更强大的系统.
- 建议为系统生物学模型制定专门的可信度标准,以提高其可信度和影响.
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