MAE 545: Lecture 4 (9/29)
Statistical mechanics of proteins Ideal freely jointed chain
N identical unstretchable links (Kuhn segments) of length a with freely rotating joints
~r2 a ~r ~r1 N R~
In first part of the lecture we will ignore interactions between different segments: e.g. steric interactions, van der Waals interactions, etc.
2 Ideal freely jointed chain N identical unstretchable links (Kuhn segments) of length a with freely rotating joints
~r2 a ~r ~r1 N R~ What are statistical properties of the end to end vector R~ ? Statistical mechanics partition function energy of a given E /k T Ec (sum over all possible Z = e c B configuration chain configurations) c X T temperature E /k T e c B Boltzmann expected value of = kB hOi Oc Z constant observables c X 23 1 For ideal chain all configurations have kB =1.38 10 JK ⇥ zero energy cost and contribute equally! 3 Ideal freely jointed chain N identical unstretchable links of length a with freely rotating joints
~r2 a ~r ~r1 N R~
Each ideal chain configuration is a realization of random walk. individual links ~r =0 ~r 2 = a2 h ii i N ⌦ ↵ end to end ~ ~ ~ 2 2 distance R = ~ri R =0 R = Na i=1 D E D E For large N the probabilityX distribution for R ~ approaches
1 R~ 2/(2Na2/3) Note: not accurate in tails p R~ e ⇡ (2⇡Na2/3)3/2 ⇥ of distribution where ⇣ ⌘ R~ Na | | ⇠ 4 Ideal freely jointed chain
~r2 a ~r ~r1 N R~
Statistical mechanics e Ec/kB T R~ m = R~ m c Z c D E X m 3 m 1 R~ 2/(2Na2/3) R~ = d R~ R~ e ⇥ (2⇡Na2/3)3/2 ⇥ D E Z }
proportional to the number of random walks with end to end distance R ~ .
5 Stretching of ideal freely jointed chain
~r2 a ~r ~r1 N ~ fixed R~ F end Each chain configuration is a realization of biased random walk.
Work due to external force W = F~ R~ · Statistical mechanics
(E W )/k T (E F~ R~ )/k T partition function Z = e c c B = e c · c B c c X X
(E F~ R~ )/k T average end to e c · c B @ ln Z R~ = R~ =+k T end distance c Z B ~ c @F D E X
6 Bias for a single chain link
zˆ ~r1 yˆ xˆ ✓ F~
1 d(cos ✓) Facos ✓/kB T sinh (F a/kBT ) partition function Z1 = e = 1 2 F a/kBT Z 1 d(cos ✓) e+Facos ✓/kB T bias in direction x1 = a cos ✓ h i 1 2 ⇥ ⇥ Z1 of force Z Fa k T x = a coth B Langevin function h 1i k T Fa ✓ B ◆ 1
small force Fa kBT 0.8 ⌧ Fa2 x1 0.6 h i⇡3kBT /a ⟩ 1 x large force Fa kBT ⟨ 0.4 k T 0.2 x a B h 1i⇡ F 0 0 1 2 3 4 5 6 7 8 9 10 F a/kBT 7 Stretching of ideal freely jointed chain
zˆ yˆ ~r2 a xˆ ~r ~r1 N ~ fixed R~ F end Exact result for stretching of ideal chain Fa k T x = N x = Na coth B h i h 1i k T Fa ✓ B ◆ NFa2 F entropic spring 3k T small force x k = B h i⇡ 3kBT ⌘ k constant Na2 Gaussian approximation
3 1 R~ 2/(2Na2/3) F~ R/k~ T NF2a2/6k2 T 2 Z = d R~ e e · B = e B 2 3/2 ⇥ Z [2⇡Na /3] @ ln Z NFa2 x = kBT = h i @F 3kBT Gaussian approximation is only valid for small forces!
8 Experimental results for stretching of DNA 8760 Marko and Siggia Macromolecules, Vol. 28, No. 26, 1995 L = 32.8µm A long enough linear DNA is a flexible polymer with 10- ideal Idealrandom-walk chain fails statisticsto with end-to-end mean-squared distance Ro = (bLY2,where b is the Kuhn statistical chain explain experimental T c monomer size (excluded volume effects can be ignored e data inat mostlarge of forces! the experimental data considered in this LU c? ! paper;* see section 1II.C). The bending costs an energy - Idealper chain length predicts of ~BTAK~/~,where K = laS2rlis the curvature / L (the reciprocal of the bending radius) and where A is
C 2 L -3 / x kBT ,1 the characteristic length over which a bend can be made