MD simulering
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Transcript MD simulering
Peptide Aggregation and Pore
Formation in a Lipid Bilayer;
a Combined CG and AA MD Study
Lea Thøgersen, University of Aarhus
Pushing the Boundaries of Biomolecular Simulation
June 11, 2008
Outline
Introduction
Results
Conclusions
Coarse-Grained Molecular Dynamics
Alamethicin
Modelling Setup
NAMD CG vs MARTINI CG
Microsecond Action
Structure
Reverse Coarse-Graining
Water Pore Formation
Structural Changes
Coarse Grained MD – Why?
Coarse-graining
All-atom MD:
time step of 1-2 fs,
time frame sampled ~ 100 ns
• Reduction in degrees of freedom
• Fast frequenzy movements removed
• Smoother potential surface
• Longer time steps can be taken
• Microsecond simulations possible
Coarse-grained MD:
time step of 20-50 fs,
time frame sampled ~ 1 μs
Coarse Grained Molecular Dynamics
Shelley, Shelley, Reeder, Bandyopadhyay, Klein;
A Coarse Grain Model for Phospholipid Simulations
J. Phys. Chem. B (2001) 105 4464
Marrink, de Vries, Mark;
Coarse Grained Model for
Semiquantitative Lipid Simulations
J. Phys. Chem. B (2004) 108 750
Shih, Arkhipov, Freddolino, Schulten;
Coarse Grained Protein-Lipid Model
with Application to Lipoprotein Particles
J. Phys. Chem. B (2006) 110 3674
NAMD CG
MARTINI CG
Marrink, Risselada, Yefimov, Tieleman, de Vries;
Monticelli, Kandasamy, Periole, Larson, Tieleman, Marrink;
The MARTINI Force Field: Coarse Grained Model
for Biomolecular Simulations
The MARTINI Coarse-Grained Force Field:
Extension to Proteins
J. Phys. Chem. B (2007) 111 7812
J. Chem. Theory and Comput. (2008) 4 819
Alamethicin
20 amino acid antimicrobiel peptide.
Part of the immune system (for fungi).
Forms channels in membranes which allow
water and ions to go through.
Destroys membrane potential.
Gln19
Glu18
Motivation:
Potentially a good and simple
membrane channel model
Insight into this family of proteins could
be valuable in the development of
antibiotics
Gln7
Widely Accepted Channel Model
Tieleman, Hess, Sansom;
Analysis and Evaluation of Channel Models:
Simulations of Alamethicin.
Biophys. J. (2002) 83 2392
Spaar, Münster, Salditt;
Conformation of Peptides in Lipid Membranes
Studied by X-Ray Grazing Incidence Scattering.
Biophys. J. (2004) 87 396
Modelling Setup
To study alamethicin interaction
with membrane and each other
25 peptides
330 DMPC lipids
26452 water
~117000 atoms
~ 11700 beads
PBC 120 Å × 124 Å × 90 Å
NAMD CG versus MARTINI CG
4
GLY
ALA
4
AIB
Apolar
1
2
degree of polarity 1-5
1
Polar
2
4
Nda
degree of polarity 1-5
C
C
NAMD
MARTINI
C
(MARTINI)
Nda
NAMD CG
Nda
AA
N0
2
MARTINI CG
Nonpolar
donor
hydrogenbond
acceptor
both
C5
none
C4
(NAMD)
Charged
1
donor
hydrogenbond
acceptor
both
none
Alamethicin Behavior
Alamethicin
C-term
Hydrophilic
sidechains
Lipid
Polar
headgroup
Non-polar
tails
N-term
7 ns
120 ns
32 ns
Peptide Aggregation I
0-1 μs
Peptide Aggregation II
MARTINI
NAMD
0 μs
1 μs
4 μs
Structure of the Clusters
0
0.5
Gln7
1
Gln7
Helix Tilt
Alamethicin, DMPC lipid
peptid:lipid - 1:15
15N-Aib8 alamethicin
θ
Aib8
Exp
θ = 10˚
0.04
MD
0.03
0.02
0.01
0
0
30
60
90
Helix tilt / deg.
120
Vosegaard, Bertelsen, Pedersen, Thøgersen,
Schiøtt, Tajkhorshid, Skrydstrup, Nielsen;
Resolution Enhancement in Solid-State NMR
of Oriented Membrane Proteins
by Anisotropic Differential Linebroadening
JACS (2008) 130 5028
Reverse Coarse-Graining
AA
t = 0μs
CG
t = 0μs
CG
t = 1μs
AA - rev CG
t = 1μs
AA
after SA
CG water
vs
AA water
δ-
Class: Polar
δ+
δ+
5.0Å
900-1000 ns
TIP3P model
2.8Å
35-40 ns
Structural Changes
18 of 25 peptides remain α-helical
Conclusions
Alamethicin monomers readily aggregate and
form clusters that grow in size over time.
Large diversity in form of clusters and structure
of peptides.
Reverse CG required to
obtain detailed water interaction
validate results obtained on the long time scale
Acknowledgements
Emad Tajkhorshid & the NAMD people
Theoretical and Computational Biophysics Group
University of Illinois at Urbana-Champaign, USA
Birgit Schiøtt
& the Biomodelling Group
Department of Chemistry
University of Aarhus, Denmark
Niels Christian Nielsen & Thomas Vosegaard
Laboratory for Biomolecular NMR spectroscopy
Department of Chemistry
University of Aarhus, Denmark
Funding:
&