Abstract
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 dynamics in 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.
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References
Murata, S., Konagaya, A., Kobayashi, S., Saito, H., Hagiya, M.: Molecular Robotics: A New Paradigm for Artifacts. New Generation Computing 31(1), 27–45 (2013)
Howard, J., Hudspeth, A.J., Vale, R.D.: Movement of microtubules by single kinesin molecules. Nature 342, 154–158 (1989)
Bohm, K.J., Stracke, R., Muhlig, P., Unger, E.: Nanotechnology 12, 238–244 (2001)
Fischer, T., Agarwal, A., Hess, H.: A smart dust biosensor powered by kinesin motors. Nat. Nanotech. 4, 162–166 (2009)
Akira, K., Jian, P.G., et al.: Formation of ring-shaped assembly of microtubules with a narrow size distribution at an air–buffer interface. Soft Matter 8, 10863–10867 (2012)
Inoue, D., Kabir, A.M.R., Mayama, H., Gong, J.P., Sada, K., Kakugo, A.: Growth of ring-shaped microtubule assemblies through stepwise active self-organisation. Soft Matter 9, 7061–7068 (2013)
Kraikivski, P., Lipowsky, R., Kierfeld, J.: Enhanced Ordering of Interacting Filaments by Molecular Motors, Phys. Rev. Lett. 96, 258103 (2009)
Kong, K.Y., Marcus, A.I., Giannakakou, P., Alberti, C., Wang, M.D.: A Two Dimensional Simulation of Microtubule Dynamics. In: Proc. of the 5th Inter. Conf. on Information Technology and Application in Biomedicine, pp. 461–462 (2008)
Sherrod, A., Wendy, J.: Beginning DirectX 11 Game Programming, Boston: Course Technology PTR, Print (2011)
Luna, F.D., Dulles, V.A.: Introduction to 3D Game Programming with DirectX 11, Mercury Learning & Information (2012, Print)
Kabir, A.M.R., Inoue, D., Kakugo, A., Kamei, A., Gong, G.P.: Prolongation of the Active Lifetime of a Biomolecular Motor for in Vitro Motility Assay by Using an Inert Atmosphere. Langmuir 27(22), 13659–13668 (2011)
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Gutmann, G., Inoue, D., Kakugo, A., Konagaya, A. (2014). Real-Time 3D Microtubule Gliding Simulation. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_2
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DOI: https://doi.org/10.1007/978-3-662-45283-7_2
Publisher Name: Springer, Berlin, Heidelberg
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