Laboratory of Complex Systems Simulation, A.P. Ershov Institute of Informatics Systems, Acad. Lavrentiev ave. 6, 630090 Novosibirsk, Russia
Laboratory of Structural Bioinformatics and Molecular Modeling, Novosibirsk State University, Pirogova str. 2, 630090 Novosibirsk, Russia.
Philos Trans R Soc Lond B Biol Sci. 2018 Sep 10;373(1758):20170376. doi: 10.1098/rstb.2017.0376.
To better understand how a nervous system controls the movements of an organism, we have created a three-dimensional computational biomechanical model of the body based on real anatomical structure. The body model is created with a particle system-based simulation engine known as Sibernetic, which implements the smoothed particle-hydrodynamics algorithm. The model includes an elastic body-wall cuticle subject to hydrostatic pressure. This cuticle is then driven by body-wall muscle cells that contract and relax, whose positions and shape are mapped from anatomy, and determined from light microscopy and electron micrograph data. We show that by using different muscle activation patterns, this model is capable of producing -like behaviours, including crawling and swimming locomotion in environments with different viscosities, while fitting multiple additional known biomechanical properties of the animal. This article is part of a discussion meeting issue 'Connectome to behaviour: modelling at cellular resolution'.
为了更好地理解神经系统如何控制生物体的运动,我们根据真实的解剖结构创建了一个基于身体的三维计算生物力学模型。该模型使用了一种称为 Sibernetic 的基于粒子系统的模拟引擎,它实现了平滑粒子流体动力学算法。该模型包括一个受静水压力作用的弹性体壁外皮。然后,由收缩和放松的体壁肌肉细胞驱动外皮运动,其位置和形状是从解剖学映射而来,并根据光镜和电子显微镜数据确定。我们表明,通过使用不同的肌肉激活模式,该模型能够产生类似的行为,包括在不同粘度的环境中爬行和游泳运动,同时还适应了动物的多个其他已知生物力学特性。本文是讨论文章“从连接组到行为:在细胞分辨率下进行建模”的一部分。