Department of Physics, School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 310018, China.
Department of Applied Chemistry, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.
Biomed Res Int. 2017;2017:5267185. doi: 10.1155/2017/5267185. Epub 2017 Mar 26.
The translocation of a polymer chain through a crowded cylindrical channel is studied using the Langevin dynamics simulations. The influences of the field strength , the chain length , and the crowding extent ρ on the translocation time are evaluated, respectively. Scaling relation τ ~ is observed. With the crowding extent ρ increasing, the scaling exponent α becomes large. It is found that, for noncrowded channel, translocation probability drops when the field strength becomes large. However, for high-crowded channel, it is the opposite. Moreover, the translocation time and the average translocation time for all segments both have exponential growth with the crowding extent. The investigation of shape factor 〈δ〉 shows maximum value with increasing of the number of segments outside . At last, the number of segments inside channel in the process of translocation is calculated and a peak is observed. All the information from the study may benefit protein translocation.
使用 Lange因动力学模拟研究了聚合物链通过拥挤的圆柱形通道的迁移。分别评估了场强 、链长和拥挤程度 ρ 对迁移时间的影响。观察到标度关系 τ ~ 。随着拥挤程度 ρ 的增加，标度指数 α 变大。发现，对于非拥挤的通道，当场强增大时，迁移概率下降。然而，对于高拥挤的通道，情况则相反。此外，迁移时间和所有片段的平均迁移时间都随拥挤程度呈指数增长。形状因子 〈δ〉 的研究表明，随着外部片段数的增加，其最大值也随之增加。最后，计算了在迁移过程中通道内的片段数 ，并观察到一个峰值。从这项研究中获得的所有信息都可能有利于蛋白质的转位。
