a quasi-linear poisson-boltzmann equation · 2015-07-29 · a quasi-linear poisson-boltzmann...
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A quasi-linear Poisson-Boltzmann equationModeling, computation and biological application
Duan Chen
University of North Carolina at Charlotte
IMA Hot Topics Workshop, July 23, 2015
Duan Chen (UNCC) IMA workshop July 23, 2015 1 / 25
Cancers and molecules
PLoS ONE. 2014;9(10):e107511.
Duan Chen (UNCC) IMA workshop July 23, 2015 2 / 25
Structure matters
Duan Chen (UNCC) IMA workshop July 23, 2015 3 / 25
Environment matters
Duan Chen (UNCC) IMA workshop July 23, 2015 4 / 25
implicit solvent model
Poisson-Boltzmann equation
−∇ · (ε(r)∇φ) + κ2 sinh
(φe
kBT
)= 4πρfe,
Duan Chen (UNCC) IMA workshop July 23, 2015 5 / 25
Improvement of PB or PNP equations
Finite size or steric effectsC. Liu, B. Eisenberg, T.C. Lin, W. Liu, B. Lu, Y. Zhou, B. Li,et. al
Non-local interactionsD. Xie, J.L. Liu, et. al
Generalized correlations of ion species and environments.D. Chen and G. Wei, et. al;
Duan Chen (UNCC) IMA workshop July 23, 2015 6 / 25
Ion-concentration dependent dielectric constant
Some experimental results:
Duan Chen (UNCC) IMA workshop July 23, 2015 7 / 25
Some explanation
Na+$
E$
Duan Chen (UNCC) IMA workshop July 23, 2015 8 / 25
Objectives
Based on the simple assumptions:
what kind of new equation we can derive? Analysis?
Any difficulties in numerical simulations?
Applications in molecular biology?
Duan Chen (UNCC) IMA workshop July 23, 2015 9 / 25
Mathematical modeling
A slight change of the total free energy:
G[φ, n1, ..., nNc ] =
∫Ω
kBT Nc∑j=1
nj lnnjn0j
− ε(n1, ..., nNc)
8π|∇φ|2 + φρ
dr+
∫ΩkBT
Nc∑j=1
(n0j − nj)dr. (1)
ρ = ρfe+
Nc∑j=1
njqj .
Duan Chen (UNCC) IMA workshop July 23, 2015 10 / 25
Mathematical modeling
Variation of the free energy:
δGTotal[φ, n1, ..., nNc ]
δφ= 0⇒ −∇·(ε(n1, ..., nNc)∇φ) = 4πρfe+4π
Nc∑j=1
njqj ,
δGTotal[φ, n1, ..., nNc ]
δnj= µj ⇒ µj = kBT ln
njn0j
+ qjφ−δε
δnj
|∇φ|2
8π,
Duan Chen (UNCC) IMA workshop July 23, 2015 11 / 25
A simple case
We consider:
Equilibrium state, i.e., ∇µj = 0
1:1 electrolyte, i.e., Nc = 2 and q1 = −q2 = q
linear dependence, i.e., ε(p, n) = ε− β(p+ n).
Duan Chen (UNCC) IMA workshop July 23, 2015 12 / 25
A quasi-linear Poisson-Boltzmann equation
−∇ · (ε(r)∇φ) + 8πn0qλ sinh
(φq
kBT
)= 4πρfq, (2)
whereλ = e−β|∇φ|
2/8πkBT , (3)
and
ε(r) = ε− λβn0 cosh
(φq
kBT
). (4)
Duan Chen (UNCC) IMA workshop July 23, 2015 13 / 25
Computational method
Non-dimensionlization: u =φe
kBT, L =
L
A, n0 =
n0M
, β = βM .
We arrive at
−∇ ·[(ε− Isβe−c1β|∇u|
2
coshu)∇u]
+ c2Ise−c1β|∇u|2 sinhu = c3ρf , (5)
Constants c1 =1027kBTA
8πe2NA≈ 0.12, c2 =
8πe2NA
1027kBTA≈ 8.44, and
c3 =4πe2
kBTA≈ 7046
Duan Chen (UNCC) IMA workshop July 23, 2015 14 / 25
Iteration methods
Discretized system:A(U)U +N(U) = f , (6)
Full Newton’s method.
J(U) =∂
∂U[A(U)U +N(U)] = A(U) +
∂
∂UA(U)U +
∂
∂UN(U),
Fixed-point-Newton’s method
−∇ ·[(ε− Isβe−β|∇u|
2coshu)∇u∗
]+ Ise
−β|∇u|2 sinhu∗ = f.
Then
J(U,U∗) =∂
∂U∗[A(U)U∗] +
∂
∂U∗[N(U∗)].
Mol. Based Math. Biol. 2014; 2:107127
Duan Chen (UNCC) IMA workshop July 23, 2015 15 / 25
Computational efficiency and accuracy
0 10 20
−4
−2
0
Iteration steps
Itera
tio
n e
rro
r (l
og
10)
β=20
β=12
0 200 400−5
−4
−3
−2
−1
0
Iteration steps
Itera
tio
n e
rro
r (l
og
10)
β=20
β=12
0 20 40
−4
−2
0
Iteration steps
Itera
tio
n e
rro
r (l
og
10)
Newton
Fixed−Newton
(a) (b) (c)
Figure 1 : Computational efficiency of the Newton’s method and thefixed-point-Newton’s method. (a): Newton’s method; (b)Fixed-point-Newton’s method. For (a) and (b), Is = 0.2, g = −10. (c):comparison of the two method with Is = 0.2, β = 12 but g = −2.
Duan Chen (UNCC) IMA workshop July 23, 2015 16 / 25
Computational efficiency and accuracy
Newton’s method F-N Method Relative differenceError Order Error Order
5.25e-5 5.26e-5 0.07%1.29e-5 2.0 1.299e-5 2.0 0.07%3.09e-6 2.0 3.09e-6 2.0 0.07%6.18e-7 2.3 6.19e-7 2.3 0.07%
Table 1 : Convergence rates of the Newton’s method (first two columns) andthe fixed-point-Newton’s (F-N)method (the third and fourth columns). Therelative differences of the solutions from the two methods are in the lastcolumn.
Duan Chen (UNCC) IMA workshop July 23, 2015 17 / 25
Comparison with Poisson-Boltzmann equation
0 5 10−2
−1.5
−1
−0.5
Distance from the boundary (A)
Ele
ctr
os
tati
cs
(k
BT
/e)
PBE
QPBE
0 2 4 6 8 10−10
−8
−6
−4
−2
0
Distance from the boundary (A)
Ele
ctr
os
tati
cs
(k
BT
/e)
PBE
QPBE
(a) Is = 0.2, β = 12 (b)
0 2 4 6 8 100
0.5
1
1.5
Distance from the boundary (A)
Ion
ic c
on
ce
ntr
ati
on
(M)
PBE
QPBE
0 2 4 6 8 101.5
2
2.5
3
3.5
4
Distance from the boundary (A)
Ion
ic c
on
ce
ntr
ati
on
(M)
QPBE
0 0.5 10
0.5
1
1.5
2x 10
4
PBE
(c) (d)Duan Chen (UNCC) IMA workshop July 23, 2015 18 / 25
Comparison with Poisson-Boltzmann equation
0 2 4 6 8 10−10
−8
−6
−4
−2
0
Distance from the boundary (A)
Ele
ctr
os
tati
cs
(k
BT
/e)
β=0
β=10
β=20
0 2 4 6 8 10−10
−8
−6
−4
−2
0
Distance from the boundary (A)
Ele
ctr
os
tati
cs
(k
BT
/e)
β=0
β=10
β=20
(a)Is = 0.2 (b)Is = 1.5
0 2 4 6 8 101
2
3
4
Distance from the boundary (A)
Ion
ic c
on
ce
ntr
ati
on
(M)
β=10
β=20
0 2 4 6 8 102
2.5
3
3.5
4
Distance from the boundary (A)
Ion
ic c
on
ce
ntr
ati
on
(M)
β=10
β=20
(c) (d)Duan Chen (UNCC) IMA workshop July 23, 2015 19 / 25
Applications
ε(r) =
ε+, r ∈ Ω+,
ε− − Isβe−c1β|∇u|2
coshu, r ∈ Ω−,
(7)
ρf =
Na∑i=1
ziδ(r− ri), (8)
Duan Chen (UNCC) IMA workshop July 23, 2015 20 / 25
Regularization
u(r) = u(r) + u∗(r) + u0(r), (9)
−∇ · (ε(r)∇u(r)) + c2Ise−c1β|∇u|2 sinh u = 0 (10)
[u]Γ = 0 (11)
[ε∇u · ~n]|Γ = −[ε∇(u∗ + u0) · ~n]|Γ (12)
where
u∗(r) = c3
Na∑i=1
ziε+|r− ri|
(13)
and u0(r) is a harmonic function on Ω+ and
u0(r) = −u∗(r), ∀r ∈ ∂Ω+. (14)
Duan Chen (UNCC) IMA workshop July 23, 2015 21 / 25
Application I: Electrostatic solvation energy
∆Gelec =1
2
Na∑i=1
zi[u0(ri) + u(ri)].
Protein ID PBE QPBE Difference
1AJJ -1337.34 -1334.73 2.611AJK -1322.24 -1319.95 2.291AL1 -692.08 -690.5 1.581BBL -1368.0 -1355.0 13.01BOR –1122.83 -1118.50 4.331BPI -1825.73 -1821.21 4.521CBN -494.63 -493.48 1.151FCA -1486.81 -1475.06 11.751FXD -3643.70 -3640.71 2.291HPT -1231.29 -1225.98 5.311PTQ -1237.31 -1235.02 2.291R69 -1553.86 -1552.00 1.861UXC -1600.44 -1595.01 5.431VII -1210.59 -1204.20 6.391YSN -1480.50 -1477.51 2.992ERL -115.06 -1114.28 0.782PDE -1047.46 -1045.88 1.58
Table 2 : Comparison of electrostatic solvation energy (unit: kcal/mol)calculated by the PBE and the QPBE for a set of proteins. Is = 0.2 andβ = 12.
Duan Chen (UNCC) IMA workshop July 23, 2015 22 / 25
Application II: Electrostatic analysis of a DNA segment
(a) Is = 0.2, β = 12 (b) Is = 1.5, β = 12
Duan Chen (UNCC) IMA workshop July 23, 2015 23 / 25
Application II: Electrostatic analysis of a DNA segment
(c) Is = 0.2, β = 20 (d) Is = 1.5, β = 20
Duan Chen (UNCC) IMA workshop July 23, 2015 24 / 25
Conclusion
A quasi-linear Poisson-Boltzmann model based on a simpleexperimental result
Two numerical methods to solve the nonlinear equation
3D simulations in applications of electrostatic analysis forbiomolecules
Future work: modified PNP equation for ion channels.
Duan Chen (UNCC) IMA workshop July 23, 2015 25 / 25
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