Real-Time 3D Microtubule Gliding Simulation

Real-Time 3D Microtubule Gliding Simulation
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DOI:
10.1007/978-3-662-45283-7_2
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发表时间:
2014-09
期刊:
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影响因子:
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通讯作者:
G. Gutmann;Daisuke Inoue;A. Kakugo;A. Konagaya
G. Gutmann;Daisuke Inoue;A. Kakugo;A. Konagaya
中科院分区:
其他
文献类型:
--
作者:
G. Gutmann;Daisuke Inoue;A. Kakugo;A. Konagaya

文献摘要

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微管滑动试验是一种生物学实验,观察固定在玻璃表面上的马达蛋白驱动的微管的动力学。当适当的微管相互作用建立在滑动试验实验,微管往往组织和创建更高层次的动态,如环和束结构。为了在计算机上重现这种更高层次的动态,我们一直专注于制作实时3D微管模拟。这种实时3D微管模拟使我们能够通过实时调整模拟参数来获得有关微管动力学及其群运动的更多知识。在创建实时3D仿真时的技术挑战之一是平衡3D渲染和计算性能。GPU编程在平衡数百万任务方面发挥着至关重要的作用,并使这种实时3D模拟成为可能。通过使用GPGPU编程,我们能够以大规模并行的方式运行模拟,即使在处理微管之间更复杂的相互作用时,如覆盖和依偎。
A microtubule gliding assay is a biological experiment observing the dynamics of microtubules driven by motor proteins fixed on a glass surface. When appropriate microtubule interactions are set up on gliding assay experiments, microtubules often organize and create higher-level dynamics such as ring and bundle structures. In order to reproduce such higher-level dynamicsin silico, we have been focusing on making a real-time 3D microtubule simulation. This real-time 3D microtubule simulation enables us to gain more knowledge on microtubule dynamics and their swarm movements by means of adjusting simulation parameters in a real-time fashion. One of technical challenges when creating a real-time 3D simulation is balancing the 3D rendering and the computing performance. GPU programming plays an essential role in balancing the millions of tasks, and makes this real-time 3D simulation possible. By the use of GPGPU programming we are able to run the simulation in a massively parallel fashion, even when dealing with more complex interactions between microtubules such as overriding and snuggling.