Collision of a DNA polymer with a small obstacle

被引:44
|
作者
Randall, Greg C. [1 ]
Doyle, Patrick S. [1 ]
机构
[1] MIT, Dept Chem Engn, Cambridge, MA 02139 USA
关键词
D O I
10.1021/ma061375t
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
Using single molecule fluorescence microscopy, we study the dynamics of an electric-field-driven DNA molecule colliding with a single stationary post. The radius of the obstacle is small compared to the contour length of the molecules. Molecules that achieve hooked configurations which span the obstacle were chosen for study. Four different types of hooked configurations were found: symmetric hairpins with constant extension during unhooking, asymmetric hairpins with constant extension during unhooking, asymmetric hairpins with increasing extension during unhooking, and rare multiply looped entangled configurations. The important physics describing the unhooking dynamics for each classification differ and models are proposed to predict unhooking times. Surprisingly, we find that most collisions do not follow classic rope-on-pulley motion but instead form hairpins with increasing total extension during the unhooking process (called X collisions). Last, we show that unraveling to form a hairpin and center-of-mass motion during unhooking affect the overall center of mass hold-up time during a collision process.
引用
收藏
页码:7734 / 7745
页数:12
相关论文
共 50 条
  • [31] SAFE NAVIGATION WITH COLLISION AVOIDANCE OF A BROWNIAN MOTION OBSTACLE
    Munishkin, Alexey A.
    Milutinovic, Dejan
    Casbeer, David W.
    PROCEEDINGS OF THE ASME 10TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2017, VOL 3, 2017,
  • [32] Surrounding sensing and obstacle predicting for collision avoidance of vehicles
    Tu, DW
    Chen, J
    Tao, J
    OPTICAL AND FIBER OPTIC SENSOR SYSTEMS, 1998, 3555 : 411 - 416
  • [33] Swarm Obstacle and Collision Avoidance using Descriptor Functions
    Innocenti, Mario
    Pollini, Lorenzo
    Franzini, Giovanni
    Salvetti, Alessandro
    2016 IEEE CONFERENCE ON CONTROL APPLICATIONS (CCA), 2016,
  • [34] Small Obstacle Avoidance Sensor
    Vollmerhausen, Richard H.
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [35] Collision Avoidance Method for Autonomous Ships Based on Modified Velocity Obstacle and Collision Risk Index
    Zhang, Ke
    Huang, Liwen
    He, Yixiong
    Zhang, Liang
    Huang, Weiguo
    Xie, Cheng
    Hao, Guozhu
    JOURNAL OF ADVANCED TRANSPORTATION, 2022, 2022
  • [36] Performance of obstacle detection and collision warning system for civil helicopters
    Yonemoto, Naruto
    Yamamoto, Kazuo
    Yamada, Kimio
    Yasui, Hidemi
    Tanaka, Naohiro
    Migliaccio, Claire
    Dauvignac, Jean-Yves
    Pichot, Christian
    ENHANCED AND SYNTHETIC VISION 2006, 2006, 6226
  • [37] Multimodal Obstacle Detection and Collision Avoidance for Micro Aerial Vehicles
    Nieuwenhuisen, Matthias
    Droeschel, David
    Schneider, Johannes
    Holz, Dirk
    Laebe, Thomas
    Behnke, Sven
    2013 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR 2013), 2013, : 7 - 12
  • [38] Velocity obstacle collision avoidance approach for USV with towed array
    Chen D.
    Li W.
    Bao X.
    Zhu K.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 48 (12): : 72 - 77
  • [39] Obstacle count independent real-time collision avoidance
    Greenspan, M
    Burtnyk, N
    1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4, 1996, : 1073 - 1080
  • [40] Velocity Obstacle Approaches for Multi-Agent Collision Avoidance
    Douthwaite, James A.
    Zhao, Shiyu
    Mihaylova, Lyudmila S.
    UNMANNED SYSTEMS, 2019, 7 (01) : 55 - 64