这篇研究介绍了一种可供人类解读的假设语法，用于编码多细胞系统生物学模型，从而实现虚拟细胞实验室的民主化。这种框架将复杂的多细胞动力学以通俗易懂的语言进行编码，并可用于数字化模拟肿瘤微环境和神经发育等过程。作者们提供了多个应用实例，包括模拟肿瘤细胞对环境的反应以及脑部发育的分层形成，并展示了如何利用多组学数据来个性化、参数化和验证这些虚拟实验。这种方法旨在通过在体外（in silico）假设检验将理论与数据联系起来，加速生物学发现，并使得数学建模更易于生物学界和临床研究人员使用，以预测多细胞系统的演变行为。References: Johnson J A I, Bergman D R, Rocha H L, et al. Human interpretable grammar encodes multicellular systems biology models to democratize virtual cell laboratories[J]. Cell, 2025, 188(17): 4711-4733. e37.
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