Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension"

This study couples a Finite Element model for arterial mechanics to an Agent-Based model for mechanosensitive Notch signaling among vascular smooth muscle cells to predict the phenotype of these cells under hypertension, a loss of residual stresses in the artery, and manipulations of the Notch signaling pathway. This dataset contains the codes for the Finite Element model, the Agent-Based model and the coupling between them, as well as the raw data generated by these models.

本研究将用于动脉力学分析的有限元模型（Finite Element model），与用于模拟血管平滑肌细胞间机械敏感Notch信号通路（Notch signaling pathway）的基于智能体的模型（Agent-Based model）进行耦合，旨在预测三类场景下此类细胞的表型：高血压状态、动脉残余应力缺失状态，以及对Notch信号通路进行操控的场景。本数据集包含上述有限元模型、基于智能体的模型及其耦合代码，以及这些模型生成的原始数据。