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作 者:谢可为 汪骞 Kewei Xie;Qian Wang(Department of Physics,University of Science and Technology of China,Hefei 230026,China)
机构地区:[1]中国科学技术大学物理系,安徽合肥230026
出 处:《中国科学技术大学学报》2023年第3期61-66,I0003,共7页JUSTC
基 金:This work was supported by the National Natural Science Foundation of China(32000882);the USTC Research Funds of the Double First-Class Initiative(YD2030002006).
摘 要:细胞内物质的主动运输主要通过马达蛋白这一特殊的纳米机器来完成。在运输过程中,马达蛋白之间的协作性显著影响着距离、速度等重要的运输特性。为了理解这一机制,我们结合Gillespie模拟和理论推导,解释了单马达蛋白的力学特性如何影响了多个马达蛋白之间的协作性,进而对运输距离进行调节。我们建立了一个深度学习模型来帮助快速获得马达蛋白的运动参数。我们的结果揭示了同向马达蛋白在细胞内运输的物理本质。Active intracellular transport is mainly performed by a group of special nanomachines called motor proteins.During transport,cooperation between motor proteins significantly influences important transport features,such as dis-tance and velocity.To understand this mechanism,we combine Gillespie simulation and analytical derivation to demon-strate how the mechanical properties of a single motor influence the cooperation between multiple motors,further regulat-ing the transport distance.In addition,we build a deep learning model to help us quickly obtain the motor parameters.Our results shed light on the physical nature of intracellular transport by motor proteins with the same directionality.
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