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Science &
Technology
Multiscale Modeling of Lipid Bilayer
Interactions with Solid Substrates
David R. Heine, Aravind R. Rammohan, and
Jitendra Balakrishnan
October 23rd, 2008
RPI High Performance Computing Conference
Outline
• Background
– structure of lipid bilayers
– applications of supported lipid bilayers
•
•
•
•
•
Modeling challenges
Atomistic modeling
Mesoscale modeling
Experimental work
Conclusions
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Lipids and Bilayers
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Technological Relevance of Supported Lipid Bilayers
• SLBs are important for various biotech applications
– Biological research
•
•
•
•
Model systems to study the properties of cell membranes
Stable, immobilized base for research on membrane moieties
Biosensors for the activity of various biological species
Cell attachment surfaces
– Pharmaceutical research
• Investigation of membrane receptor drug targets
• Membrane microarrays: High throughput screening for drug
discovery
– How does bilayer-substrate interaction affect bilayer behavior?
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Supported Lipid Bilayers at Corning
• Applications: Membrane-protein
microarrays for pharmaceutical
drug discovery
• Substrate texture is important in
the adhesion and conformation of
bilayers on the surface
– Crucial for the biological
functionality of bilayers
• Objective: Quantify the effect of
substrate topography and chemical
composition on bilayer
conformation and dynamics
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Bilayer Length & Time Scales
• Bilayer dynamics vary over large length and time scales, suggesting a
multiscale approach.
Time Scales
Length Scales
Bond Vibrations: fs
Stokes Radius: 2.4 nm
Lateral Diffusion
Time: 4 ps
Bilayer Thickness: 4 nm
Area per lipid: 60 +/- 2 Å2
Undulations:
4 Å – 0.25 mm
Peristaltic Modes:
1-10 ns
Undulatory Modes
0.1 ns – 0.1 ms
Membrane Fusion: 1-10 s
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Multiscale Approach
• Atomistic model
– capture local structure and short term dynamics
• Mesoscale model
– capture longer length and time scales
– sufficient to look at interaction with rough surfaces
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Atomistic Model
• The bilayer is composed of 72 DPPC
lipid molecules described in full atomistic
detail using the CHARMM potential
• Water uses the flexible SPC model to
allow for bond angle variations near the
substrate
• The substrate is the [100] face of aquartz with lateral dimensions of 49 x 49
Å described by the ClayFF potential
 R 12  R 6 
e2
o ,ij
o ,ij






Enonbond   Do ,ij
2





r
r


i j
 ij   40
 ij 
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
i j
lipid
water
substrate
qi q j
rij
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Simulation Technique
• System is periodic in x and y
directions with a repulsive wall above
the water surface in the z direction
Water
• NVT ensemble must be used since
pressure control is prohibited by the
solid substrate
Upper
leaflet
• Temperature is maintained at 323K
with a Nose-Hoover thermostat
• Total energy and force on the bilayer
are extracted during the simulation.
Heine et al. Molecular Simulations, 2007,
33(4-5), pp.391-397.
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Lower
leaflet
Bilayer
Lipids
Water
Substrate
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Simulation Technique
• System is periodic in x and y
directions with a repulsive wall above
the water surface in the z direction
• NVT ensemble must be used since
pressure control is prohibited by the
solid substrate
• Temperature is maintained at 323K
with a Nose-Hoover thermostat
• Total energy and force on the bilayer
are extracted during the simulation.
Heine et al. Molecular Simulations, 2007,
33(4-5), pp.391-397.
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Comparison with Experimental Measurements
Bilayer-Substrate Interaction
Energy from Simulations
Simulations show an energy
minimum at a separation of 3 to
3.5 nm
SFA Measurements Between
Substrate and Bilayer
Experimental measurements
show a repulsion starting around
4 nm and pullout at 3 nm
separations
courtesy J. Israelachvili, UCSB
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Bilayer structure near the substrate
• Lower monolayer is compressed
in the vicinity of substrate
• Upper monolayer seems
relatively unaffected
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Effect of substrate on lateral lipid diffusion
• Reduction in lateral
diffusivity observed,
compared to free bilayers
– Bulk simulations
match diffusivity of
free bilayers
• Suppression of
transverse fluctuations
near substrate inhibit a
key mechanism for
lateral diffusion
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Transverse lipid
motion enables
lateral diffusion
Substrate reduces
transverse
motion
&
Experimental
value
For free
bilayers
reduces
diffusivity
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Atomistic Simulation Results
• MD simulations show bilayer-substrate equilibrium
separation of 3 – 3.5 nm, in agreement with SFA
experiments
• Lateral diffusion of the lipid head groups decreases as the
bilayer approaches the substrate
• Suppression of transverse fluctuations may be responsible
for reduced lateral diffusion
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Mesoscopic Model
 


dv
m
 FDISSIPATIV E  FRANDOM   FCONSERVATI VE
dt
• Dissipative force
– Formulation based on
Newtonian solvent
viscosity


FDISSIPATIV E  6water aij v
• Random force
– Formulation based on
fluctuation-dissipation
theorem

FRANDOM  3 2 Dt (t  t ' )
D  k BT 6water rij
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• Conservative force
– Elastic stretching of bilayer
– Bending modes of bilayer
– Surface interactions
– Other (electrostatic, etc.)
Membrane
Continuum solvent
Substrate
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Mesoscopic Modeling of Supported Lipid Bilayers
• Continuum representation
to study large length and
time scales
– 1 m2, 1 ms
• Allows study of bilayer
behavior on textured
substrates
• Dynamic model that
includes effect of solvent
and environment
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All dimensions in nanometers
z axis not to scale
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Mesoscopic Model Results
z:
2 2.5 3 3.5 4 4.5 5 5.5 6 6.5 7 7.5 8
z:
75
75
y
100
y
100
50
25
0
6
6.5
7
7.5
8
8.5
9
9.5
10 10.5 11 11.5 12
50
25
0
25
50
75
x
Substrate topography contours
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100
0
0
25
50
75
100
x
Membrane topography contours
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Mesoscopic Model Results
Maximum and Minimum Separation
Separations in nm
9
Membrane
Coating
8
7
Min_Sep
Max_Sep
Membrane
spanning
6
Maximum
Separation
5
4
3
Minimum
Separation
2
1
0
-1
0
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6
9
Roughness in nm
12
15
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Mesoscopic Model Results
• Allows study of bilayer on micron and microsecond scales
• Minimum surface roughness of 4-5 nm required for
membrane spanning conformation
• Spanning configuration important for maintaining bilayer
mobility
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AFM measurements
Spreading of Bilayer on Synthetic Substrates
AFM image &
measurements
courtesy
Sergiy Minko,
Clarkson
University
Ref: Nanoletters, 2008, 8(3), 941-944
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AFM measurements
Smoothening of membrane on rough substrates
AFM image &
measurements
courtesy
Sergiy Minko,
Clarkson
University
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Lipid membrane conformation
Numerical and Experimental Results
Macroscopic model predictions
AFM images courtesy Sergiy Minko, Clarkson U.
Membrane conformation vs.substrate roughness
Separation from substrate (nm)
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BILAYER
Minimum Separation
Maximum Separation
8
6
Maximum
Separation
4
~ 5 nm
Minimum
Separation
2
0
SUBSTRATE
0
2
4
6
8
10
12
Substrate roughness (nm)
14
Roiter et al. Nanoletters 8, 941 (2008)
• Model shows membrane coating up to about 4-5 nm
• AFM images show membrane coating 5 nm particles
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Conclusions
• MD simulations show bilayer-substrate separation of 3 – 3.5 nm, in agreement
with SFA experiments
• MD simulations show reduced lateral diffusion in lipids as the bilayer approaches
the substrate
• Mesoscopic model shows membranes coat particles up to 4 – 5 nm in diameter,
in agreement with AFM observations
• Larger surface features are needed to achieve separation between bilayer and
substrate
• High-performance computing has opened up new approaches for understanding
biomolecule-substrate interactions, which aids design
• There is still plenty of room to grow as these models are still restricted in terms of
size, timescale, and complexity
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Acknowledgements
• Professor Sergiy Minko & his group at Clarkson U.
• Professor Jacob Israelachvili & his group at U. C. Santa
Barbara
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Lipid Behavior on Nanoparticles
• Bilayer conforms to
Nanoparticles < 1.2 nm
• Bilayer undergoes
structural rearrangement involving
formation of holes
between 1.2 – 22 nm
• Beyond 22 nm bilayer
envelops the particle
Ref: Nanoletters, 2008, 8(3), 941-944
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