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Physics of Brownian Motors: Swimming in Molasses and Walking in a Hurricane R. Dean Astumian Department of Physics and Astronomy University of Maine.

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Presentation on theme: "Physics of Brownian Motors: Swimming in Molasses and Walking in a Hurricane R. Dean Astumian Department of Physics and Astronomy University of Maine."— Presentation transcript:

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2 Physics of Brownian Motors: Swimming in Molasses and Walking in a Hurricane R. Dean Astumian Department of Physics and Astronomy University of Maine

3 Principles of directed motion of molecular motors and pumps Molecular motors operate in an environment where viscosity dominates Inertia, and hence where velocity if proportional to force. Analogies With electric circuits and chemical networks are much more appropriate Than models based on cars, turbines, judo throws, and the like. Directed motion and pumping arises by a cycling through parameter space The role of chemical free energy is to assure that the order of breaking and making bonds when “substrate” binds is not the microscopic reverse of the order of breaking and making bonds when product is released Strong coupling and effective motion in the face of thermal noise Is attained by reduction of dimensionality. Time scales are determined by depth of energy wells and height of Barriers. Moving between wells occurs by thermal activation over Barriers.

4 where for

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6 Bivalves, bacteria, and biomotors Scallop Theorem - swimming in molasses Reynolds number 10 -2 m 10 -2 m/s Purcell, AJP 1977 Inertial force/viscous force

7 r1r1 r2r2 A A = constant A  Adiabatic Non-adiabatic

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9 Nano-patio furniture

10  

11 Energetics - Stability vs. Lability First formed last broken; thermodynamic control First formed first broken; kinetic control

12 Trajectory r1r1 r2r2 r1r1 r2r2 1 2 2 1 1 2 Thermodynamic kinetic

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14 Parametric modulation adiabatic non-adiabatic Dephosphorylated 1 2 2 1 Phosphorylated

15 Energetics - Stability vs. Lability  G 0 ATP = 7.3 kcal/mole;  G ATP (phys) = 12. kcal/mole  G hyd = 1-5 kcal/mole RT =.6 kcal/mole (300 K) Stability: First formed last broken; thermodynamic control Lability: First formed first broken; kinetic control Engineering - many weak bonds vs. a few strong bonds 1 2 2 1

16 1 2 2 1 F  x eq Modularity -the binding and spring cassettes are independent

17 Reduce dimensionality and then use thermal noise to assist motion In one direction but not another by a brownian ratchet. What is a Brownian ratchet? Ultimately energy comes from chemical reaction, but the momentum Is borrowed from the thermal bath

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19 Three Key Features of Brownian Motor Mechanisms: spatial or temporal asymmetry external energy source thermal noise

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21 Brownian Motor

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27 Influencing intramolecular motion with an alternating electric field Bermudez et al., Nature 406: 608 (2000)

28 Unidirectional rotation in a mechanically interlocked molecular rotor Leigh et al., Nature 424: 174 (2003)

29 Unidirectional rotation in a mechanically interlocked molecular rotor Leigh et al., Nature 424: 174 (2003)

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62 Conclusions: A very general framework for biological energy transduction takes advantage of the linearity of many processes including low Reynolds number motion. Velocities depend on time only through the parameters so the distance transported per cycle of modulation can be expressed as a loop integral. The direction of motion is controlled by the trajectory of the transitions between the “equilibrium” states, and NOT by their structure. Electrical analogies are more appropriate than automotive ones

63 Acknowledgements Marcin Kostur, University of Silesia and University of Maine Martin Bier, Univ. of Chicago, East Carolina University Imre Derenyi, Curie Institute, Paris Baldwin Robertson, NIST Tian Tsong, University of Minnesota NIH, NSF MRSEC,MMF

64 Na + -K + transport ATPase 3 2 Peter Lauger, “Ion motive ATPases”

65 Serpersu and Tsong, (1984) JBC 259, 7155; Liu, Astumian, and Tsong, (1990) JBC 265, 7260

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67 dQ/dt = I 1 (t) + I 2 (t) F = I 1 (t)/[I 1 (t) + I 2 (t)] I net =

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71 Causality vs. Linkage

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75 I net = k esc u   sin(    cos(  ~ ~ 1 +   ~

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77 Robertson and Astumian, Biophys. Journ. (1990), 58:969 exp(  ) = exp(V(t)  M/d)

78 Astumian, Chock, Tsong, Chen, and Westerhoff, Can Free Energy Be Transduced from Electrical Noise?, PNAS 84: 434 (1987)

79 Na + -K + transport ATPase 3 2

80 Hysteresis of BPTI - MD simulation Protein Response to External Electric Fields: Relaxation, Hysteresis, and Echo, Dong Xu,† James Christopher Phillips, and Klaus Schulten* J. Phys. Chem. 1996, 100, 12108-12121

81 I 1 = k 1 (1-Q) - k 1 Q = 0 I 2 = k 2 (1-Q) - k 2 Q = 0 k 1 k 2 = 1 At equilibrium A corollary But u and  drop out!

82 I ad = F dQ eq /dt =   F dQ eq Q eq  exp(   F =  exp(u  

83 Electrical or Photocontrol ofthe Rotary Motion of a Metallacarborane M. Frederick Hawthorne et al. SCIENCE VOL 303 19 MARCH 2004, 1649-1651

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87 m v – F = -  v + (2 k T  1/2  (t) Baseballs, beads, and biopolymers r = 10 -1 m r = 10 -5 m r = 10 -8 m NewtonianAristotelianBrownian hurricanemolassesNewton

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