Mesoscopic models of lipid bilayers and bilayers with embedded ...
Mesoscopic models of lipid bilayers and bilayers with embedded ... Mesoscopic models of lipid bilayers and bilayers with embedded ...
14 Simulation method for coarse-grained lipids minimum density for which the scaling relation holds, i.e. ρ = 3. For this value of the density, the correct compressibility of water is matched for aww = 25NmkBTo. In this fitting procedure a temperature of T ∗ = 1.0 (where the star indicates the temperature in reduced units) corresponds to room temperature To. In principle, the same procedure could be used to match the compressibility of water at different temperatures. This would result, however, in temperature dependent aij parameters. Such temperature dependent parameters would make the interpretation of the results more complex and therefore we assume that these parameters are temperature independent. Hence in our simulations we have chosen to keep the parameters fixed and only change the temperature whenever we use a temperature different than the room temperature. Since the translation to experimental temperatures is not straightforward, in Chapter 5 we will convert the reduced temperatures into physical units by a mapping based on the temperatures of the phase transitions in lipid bilayers. To obtain the repulsion parameters for a multicomponent system, where beads of different type are present, mutual solubilities can be matched by relating the DPD repulsion parameters to the Flory-Huggins χ-parameters that represent the excess free energy of mixing [24, 28, 43]. This route to derive repulsion parameters for mixed DPD systems has been applied by various authors. However, the set of mesoscopic parameters used in the literature to model amphiphilic surfactants, and in particular phospholipids, is not unique. Different levels of coarse-graining result in different parameter sets [24, 28, 46]. The ionic nature of the molecules [24, 46] can produce different values for the interactions. Also, the interactions parameters have been tuned to reproduce the self-assembly of amphiphilic surfactants into spherical micelles [46], or into a bilayer with thickness and lipid end-to-end distance consistent with experimental values [50]. Despite these differences, it can be shown that if the repulsion between hydrophobic and hydrophilic particles is sufficiently larger than the repulsion between particles of the same type, phase separation occurs, and that, under the appropriate conditions of concentration and amphiphiles architecture, the self-assembled supra-molecular structure is a bilayer. We use the parameter set derived by Groot for amphiphilic surfactants [46] and reported in table 2.2, with the exception of att (tail-tail), which we have increased from 15 to 25 to avoid unrealistic high densities in the bilayer hydrophobic core. The low repulsion between water-beads and head- aij w h t w 25 15 80 h 15 35 80 t 80 80 25 Table 2.1: Repulsion parameters aij (see equation 2.2) used in our simulations. Water beads are indicated as w, hydrophilic head-beads as h, and hydrophobic tail-beads as t. The parameters are in units of kBT.
2.2 Coarse-grained model of lipids 15 beads a wh represents the hydration of the headgroup by water molecules. The higher value of the head-head repulsion parameter a hh, respect to the water-water aww and tail-tail att repulsion parameters, takes into account the bulkier volume of the headgroup and the repulsion due to the charged nature of the lipid headgroup. The value aww = 25 for the interaction parameter between water beads, reported in table 2.2, gives the correct compressibility of water at room temperature if a mapping factor of Nm = 1 is used. However, it is worth to point out that the interaction parameters have an effective nature, and that the relative strength of the interactions between different beads is the factor that mainly determines the properties of the mesoscopic bilayer. In the following of this thesis we will show that a mapping factor of Nm = 3 can also be used in combination with the parameter set of table 2.2, and that the properties of the resulting coarse-grained mesoscopic bilayers can be consistently compared with experimental data. In particular, in Chapter 3, we will show that the bilayer area compressibility has a value comparable with the area compressibility of real phospholipid bilayers; and, in Chapter 5, that the bilayer structural quantities, like the area per lipid and bilayer thickness, for the coarse-grained bilayers, are in remarkably good quantitative agreement with experimental data. Bonded interactions The beads that form a lipid molecule are connected via harmonic springs. Groot and Warren [28] used a harmonic force in the form fspring = krij (2.12) with a spring constant k = 2. This spring force, however, does not prevent the beads to be located far more than a cut-off radius, Rc, apart. In this way it would be easy for the lipid chains to cross each other without experiencing any mutual interaction. This means that, due to the soft interactions between DPD beads, the model can not simulate entanglement if the spring in equation 2.12 is used. This problem can be controlled by adjusting the length and intensity of the spring [51]. To avoid bond crossing we use a spring force in the form of a Hookean spring Fspring = Kr(rij − req)^rij. (2.13) The equilibrium distance, giving the chosen number density of 3, is req = 0.7. The force constant Kr is chosen with a value 100, which guarantees that 98% of the cumulative bond distance distribution lies within one Rc. To compare the two spring models, in figure 2.3 we plot the total energy given by Utot = UC + Uspring, (2.14)
- Page 1: Mesoscopic models of lipid bilayers
- Page 4 and 5: Promotiecommissie: Promotor: • pr
- Page 6 and 7: ii CONTENTS 5.3 Double-tail lipid b
- Page 8 and 9: 2 Introduction 1.1 The cell membran
- Page 10 and 11: 4 Introduction between the beads, a
- Page 12 and 13: 6 Introduction whether the preferre
- Page 14 and 15: 8 Simulation method for coarse-grai
- Page 16 and 17: 10 Simulation method for coarse-gra
- Page 18 and 19: 12 Simulation method for coarse-gra
- Page 22 and 23: 16 Simulation method for coarse-gra
- Page 24 and 25: 18 Simulation method for coarse-gra
- Page 27 and 28: III Surface tension in lipid bilaye
- Page 29 and 30: 3.2 Method of calculation of surfac
- Page 31 and 32: 3.2 Method of calculation of surfac
- Page 33 and 34: 3.3 Constant surface tension ensemb
- Page 35 and 36: 3.3 Constant surface tension ensemb
- Page 37 and 38: 3.4 Surface tension in lipid bilaye
- Page 39 and 40: 3.4 Surface tension in lipid bilaye
- Page 41 and 42: 3.4 Surface tension in lipid bilaye
- Page 43 and 44: IV Structural characterization of l
- Page 45 and 46: 4.2 Structural quantities 39 been r
- Page 47 and 48: 4.3 Computational details 41 lipid
- Page 49 and 50: 4.4 Results and discussion 43 ρ(z)
- Page 51 and 52: 4.4 Results and discussion 45 one l
- Page 53 and 54: 4.4 Results and discussion 47 WH HT
- Page 55 and 56: 4.4 Results and discussion 49 Shill
- Page 57 and 58: 4.4 Results and discussion 51 chain
- Page 59 and 60: 4.4 Results and discussion 53 4.4.4
- Page 61: 4.4 Results and discussion 55 headg
- Page 64 and 65: 58 Phase behavior of coarse-grained
- Page 66 and 67: 60 Phase behavior of coarse-grained
- Page 68 and 69: 62 Phase behavior of coarse-grained
2.2 Coarse-grained model <strong>of</strong> <strong>lipid</strong>s 15<br />
beads a wh represents the hydration <strong>of</strong> the headgroup by water molecules. The higher<br />
value <strong>of</strong> the head-head repulsion parameter a hh, respect to the water-water aww <strong>and</strong><br />
tail-tail att repulsion parameters, takes into account the bulkier volume <strong>of</strong> the headgroup<br />
<strong>and</strong> the repulsion due to the charged nature <strong>of</strong> the <strong>lipid</strong> headgroup.<br />
The value aww = 25 for the interaction parameter between water beads, reported<br />
in table 2.2, gives the correct compressibility <strong>of</strong> water at room temperature if a mapping<br />
factor <strong>of</strong> Nm = 1 is used. However, it is worth to point out that the interaction<br />
parameters have an effective nature, <strong>and</strong> that the relative strength <strong>of</strong> the interactions<br />
between different beads is the factor that mainly determines the properties <strong>of</strong><br />
the mesoscopic bilayer. In the following <strong>of</strong> this thesis we will show that a mapping<br />
factor <strong>of</strong> Nm = 3 can also be used in combination <strong>with</strong> the parameter set <strong>of</strong> table<br />
2.2, <strong>and</strong> that the properties <strong>of</strong> the resulting coarse-grained mesoscopic <strong>bilayers</strong> can<br />
be consistently compared <strong>with</strong> experimental data. In particular, in Chapter 3, we will<br />
show that the bilayer area compressibility has a value comparable <strong>with</strong> the area compressibility<br />
<strong>of</strong> real phospho<strong>lipid</strong> <strong>bilayers</strong>; <strong>and</strong>, in Chapter 5, that the bilayer structural<br />
quantities, like the area per <strong>lipid</strong> <strong>and</strong> bilayer thickness, for the coarse-grained <strong>bilayers</strong>,<br />
are in remarkably good quantitative agreement <strong>with</strong> experimental data.<br />
Bonded interactions<br />
The beads that form a <strong>lipid</strong> molecule are connected via harmonic springs. Groot <strong>and</strong><br />
Warren [28] used a harmonic force in the form<br />
fspring = krij<br />
(2.12)<br />
<strong>with</strong> a spring constant k = 2. This spring force, however, does not prevent the beads<br />
to be located far more than a cut-<strong>of</strong>f radius, Rc, apart. In this way it would be easy<br />
for the <strong>lipid</strong> chains to cross each other <strong>with</strong>out experiencing any mutual interaction.<br />
This means that, due to the s<strong>of</strong>t interactions between DPD beads, the model can not<br />
simulate entanglement if the spring in equation 2.12 is used. This problem can be<br />
controlled by adjusting the length <strong>and</strong> intensity <strong>of</strong> the spring [51]. To avoid bond<br />
crossing we use a spring force in the form <strong>of</strong> a Hookean spring<br />
Fspring = Kr(rij − req)^rij. (2.13)<br />
The equilibrium distance, giving the chosen number density <strong>of</strong> 3, is req = 0.7. The<br />
force constant Kr is chosen <strong>with</strong> a value 100, which guarantees that 98% <strong>of</strong> the cumulative<br />
bond distance distribution lies <strong>with</strong>in one Rc. To compare the two spring<br />
<strong>models</strong>, in figure 2.3 we plot the total energy given by<br />
Utot = UC + Uspring, (2.14)