In order to better understand and predict the release of proteins from bioerodible microspheres or nanospheres, it is important to know the influences of different initial factors on the release mechanisms, though often it is difficult to assess what exactly is at the origin of a certain dissolution profile. We propose here a new class of fine-grained multi-agent models built to incorporate increasing complexity, permitting the exploration of the role of different parameters, especially that of the internal morphology of the spheres, in the exhibited release profile. This approach, based on Monte Carlo (MC) and cellular automata (CA) techniques, has permitted the testing of various assumptions and hypotheses about several experimental systems of nanospheres encapsulating proteins. Results have confirmed that this modelling approach has increased the resolution over the complexity involved, opening promising perspectives for future developments, especially complementing in vitro experimentation.

中文翻译：

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用于从具有复杂内部形态的 PLGA 球形颗粒释放蛋白质的 3D 多代理模型。

为了更好地理解和预测蛋白质从可生物侵蚀的微球或纳米球中的释放，了解不同初始因素对释放机制的影响很重要，尽管通常很难评估特定溶解的起源究竟是什么轮廓。我们在此提出了一类新的细粒度多代理模型，以结合日益增加的复杂性，允许探索不同参数的作用，尤其是球体内部形态的作用，在所展示的释放曲线中。这种基于蒙特卡罗 (MC) 和元胞自动机 (CA) 技术的方法已允许测试关于封装蛋白质的几个纳米球实验系统的各种假设和假设。