Anisotropic formation mechanism and nanomechanics for the self-assembly process of cross-β peptides
Deng Li1, Zhao Yurong1, Zhou Peng1, Xu Hai1, Wang Yanting2, 3, †
Center for Bioengineering and Biotechnology, China University of Petroleum (East China), Qingdao 266580 China
CAS Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences (CAS), Beijing 100190 China
School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

 

† Corresponding author. E-mail: wangyt@itp.ac.cn

Project supported by the National Basic Research Program of China (Grant No. 2013CB932804), the National Natural Science Foundation of China (Grant Nos. 11421063, 11647601, 11504431, and 21503275), the Scientific Research Foundation of China University of Petroleum (East China) for Young Scholar (Grant Y1304073). YantingWang also thanks the financial support through the CAS Biophysics Interdisciplinary Innovation Team Project (Grant No. 2060299).

Abstract

Nanostructures self-assembled by cross-β peptides with ordered structures and advantageous mechanical properties have many potential applications in biomaterials and nanotechnologies. Quantifying the intra- and inter-molecular driving forces for peptide self-assembly at the atomistic level is essential for understanding the formation mechanism and nanomechanics of various morphologies of self-assembled peptides. We investigate the thermodynamics of the intra- and inter-sheet structure formations in the self-assembly process of cross-β peptide KIIIIK by means of steered molecular dynamics simulation combined with umbrella sampling. It is found that the mechanical properties of the intra- and inter-sheet structures are highly anisotropic with their intermolecular bond stiffness at the temperature of 300 K being 5.58 N/m and 0.32 N/m, respectively. This mechanical anisotropy comes from the fact that the intra-sheet structure is stabilized by enthalpy but the inter-sheet structure is stabilized by entropy. Moreover, the formation process of KIIIIK intra-sheet structure is cooperatively driven by the van der Waals (VDW) interaction between the hydrophobic side chains and the electrostatic interaction between the hydrophilic backbones, but that of the inter-sheet structure is primarily driven by the VDW interaction between the hydrophobic side chains. Although only peptide KIIIIK is studied, the qualitative conclusions on the formation mechanism should also apply to other cross-β peptides.

1. Introduction

Under appropriate physicochemical conditions, peptide segments extracted from natural proteins or synthesized in vitro can self-assemble to form nanostructures with different morphologies, such as vesicles, nanofibrils, nanoribbons, nanotubes, and nanobelts,[15] often with remarkable mechanical properties, including a high Young’s modulus and tensile strength,[6,7] which have promising potential applications in materials science and nanotechnology.[811] Due to the hydrogen bonding (H-bonding) network among the cross-β sheets, materials formed by these nanostructures have moderate mechanical strengths between covalent and non-covalent materials.[7,12] Many studies have shown that the morphologies of peptide nanostructures can be tuned by changing the sequence of peptides or by changing the physicochemical conditions such as pH,[13,14] ionic strength,[15,16] and added chemical species.[1719] The nanomechanics of a single nanostructure can be systematically studied by analyzing the atomic force microscopy (AFM) or transmission electron microscopy (TEM) image with the guidance of polymer theories.[2022] However, it is still a challenge to fully understand the formation mechanism of different morphologies and the nanomechanics of a single peptide nanostructure at the atomistic level, both of which are important for fulfilling the final goal of controllable peptide self-assembly by design.

To unravel the underlying formation mechanisms for nanostructures self-assembled by peptides, many studies have been devoted to investigating the processes and structures at the microscopic level using various experimental technologies. The hierarchical structures of cross-β peptides have been shown to contain three different interfaces: the intra-sheet structure stabilized by H-bonding interactions between backbones, the inter-sheet structure stabilized by hydrophobic and/or electrostatic interactions between side chains, and the inter-protofibril structure stabilized by H-bonding and/or ππ stacking interactions between the terminals of peptides.[2327] Since the intermolecular forces of these hierarchical structures are composed of VDW, hydrophobic, and H-bonding interactions between peptides and solvent, the nanomechanics of a single peptide nanostructure can be determined by the strength of the intermolecular forces, which can be experimentally tuned by the solution conditions and peptide sequences.[28,29] Many theoretical works have further demonstrated that the competition between the intra- and inter-sheet interactions determines the morphology of a laminated structure composed of cross-β sheets.[3032]

Quantitative information such as the bond stiffness and the compositions of the intermolecular forces is essential for understanding the nanomechanics and morphology of peptide nanostructures. Similar to covalent bond stiffness, the intermolecular bond stiffness is a measurement of the resistance offered by the structure to the deviation from its equilibrated structure stabilized by the non-covalent force. Through studying the thermal expansion of amyloid fibrils by four dimensional electron microscopy, Fitzpatrick et al.[27] were the first to quantify experimentally the intermolecular bond stiffness for different hierarchical structures. They found that the forces stabilizing these structures are highly anisotropic. However, it is difficult to decompose the intermolecular forces directly by experiment. The development of computer modeling and simulation techniques for biomolecules allows the mechanics and thermodynamic driving forces to be studied theoretically by means of computer simulation. Because the peptide geometry and applied forces can be precisely controlled in steered molecular dynamics (MD) simulations, amyloid fibrils under an external force have been simulated by atomistic steered MD,[33] with the mechanical response, effect of peptide sequence, the force loading rate on the Young’s modulus, and failure propagation being extensively studied.[3437] Combining steered MD simulations with Jarzynski’s equality[38] or the umbrella sampling method,[39,40] the potential of mean force (PMF) of amyloid fibrils, nanotubes of cyclic peptides, and cylindrical nanofibers of peptide amphiphiles along the reaction coordinate of association were calculated,[4143] and it was found that the free energy difference between the associated and dissociated states was significantly affected by the peptide sequence and polarity of solvent.

In this work, within the theoretical framework given by the hierarchical self-assembly model,[23,30] we quantitatively evaluate the intermolecular bond stiffness of KIIIIK nanotubes and decompose at the microscopic level the contributions of different atomic groups to the intermolecular forces by combining the steered MD with the umbrella sampling method.[39,40] In our previous experimental work,[44] we have revealed that the walls of nanotubes self-assembled by KIIIIK are monolayers, formed through long-axis growth of cross-β sheet along the H-bond direction and lateral stacking of cross-β sheets along the side-chain direction. Thus, we only focus on the association processes of strands and cross-β sheets forming inter- and intra-sheet structures of KIIIIK, as illustrated in Fig. 1.

Fig. 1. (color online) Representative snapshots for the intra-sheet (a) and inter-sheet (b) structures studied by the steered MD simulations.

By fitting the harmonic wells around the equilibrated structures in the PMFs, we have evaluated the intermolecular bond stiffness, which indicates that the intra- and inter-sheet structures are highly anisotropic, consistent with the experimental results.[27] To better understand the origin of the anisotropy in the hierarchical structures of KIIIIK, thermodynamic driving forces and microscopic interaction energies between different atomic groups during the association processes have been analyzed in detail. By calculating separately the entropy and enthalpy contributions to the PMFs along the H-bond direction for the intra-sheet structure and the side-chain direction for the inter-sheet structure, the thermodynamic driving forces for peptide association processes and for keeping the structures stable have been determined. Detailed energy analyses on the microscopic interaction energies between different groups of peptides and solvents demonstrate that VDW and electrostatic interactions play different roles in the formation of intra- and inter-sheet structures: the electrostatic interactions between hydrophilic peptide backbones dominate the formation of the intra-sheet structure, while the VDW interactions between hydrophobic peptide side chains and those between water molecules and side chains dominate the formation of the inter-sheet structure. Although we have only done the calculations for peptide KIIIIK, the qualitative conclusions on the formation mechanism should also apply to other cross-β peptides.

2. Methods and simulation details
2.1. Molecular modeling

As already demonstrated by experiment,[44] KIIIIK peptides capped with an acetyl in the N terminal and an amine in the C terminal can self-assemble to form monolayer nanotubes, so the intra- and inter-sheet structures shown in Fig. 1 have been constructed as the initial configurations for studying the intermolecular forces involved in the nanostructures by means of MD simulations. The initial intra-sheet structure composed of two peptides was constructed as perfectly aligned parallel β-sheet structure, which is the most probable conformation appeared in the replica exchange MD simulation of a KIIIIK trimer.[45] The initial inter-sheet structure was constructed by face-to-face stacking of two cross-β sheets, which contains six strands perfectly aligned to form parallel β-sheets. All these initial structures were constructed using the PyMol[46] and VMD[47] programs.

2.2. MD simulation parameters

All the simulations were performed with the GROMACS simulation package.[48] The KIIIIK peptides with protonated lysine were modelled by the OPLS-AA force field,[49,50] and the water molecules were modelled by the TIP4P force field.[51] A rectangular box with periodic boundary conditions in all three dimensions was applied and a 2-fs time step was used for all the simulations. The cutoff for the short-range non-bonded interactions was 1.2 nm, and the long-range electrostatic interactions were treated by the particle mesh Ewald algorithm.[52,53] Chloride ions modeled by the OPLS-AA force field were added to the solution to neutralize the system. The NPT ensemble was applied with its temperature maintained by a Nose-Hoover thermostat[54,55] and its pressure maintained by a Parrinello–Rahman barostat.[56] To check the stability of the two structures, 2-ns simulations with unconstrained peptide positions were conducted after a 0.1-ns simulation with constrained peptide positions to allow the water molecules to relax around the peptides.

2.3. Steered MD simulation

The last configuration of the 2-ns simulation served as the initial structure of the subsequent steered MD simulations, in which the peptides should be placed in such a position that there is an adequate space for the pulling simulation along the reaction coordinate. As shown in Fig. 1, in the steered MD simulations, both intra- and inter-sheet structures had a fixed part and a moving part, with the latter pulled with a constant rate. The pulling direction for the intra-sheet structure is along the H-bond direction, which resides on the vector from the center-of-mass (CoM) of the fixed strand to the CoM of the pulled strand, as illustrated in Fig. 1(a). The pulling direction for the inter-sheet structure is along the side-chain direction, which resides on the vector from the CoM of the fixed sheet to the CoM of the pulled sheet, as illustrated in Fig. 1(b). The pulling rate of 5 nm/ns and the spring constant of 1000 kJ/(mol/nm2) were applied to the 0.5-ns steered MD simulations for calculating PMFs. To study the mechanical response, simulations with a pulling rate of 0.25 nm/ns were also conducted for each structure. The final CoM distances between the fixed and pulled parts were approximately 3.0 nm for the intra-sheet structure and 3.5 nm for the inter-sheet structure.

2.4. Umbrella sampling simulation

On the basis of the non-equilibrium steered MD simulations, the umbrella sampling technique[39,40] and the weighted histogram analysis method (WHAM)[57] were used to calculate the free energy profiles (i.e., PMFs) along the reaction coordinates. The initial configuration in each window of the umbrella sampling was selected from the steered MD trajectory. Totally 26 windows were used in the umbrella sampling calculation for the intra-sheet structure with the CoM distance ranging from 0.44 nm to 3.24 nm, and each window has a width of approximately 0.108 nm to allow adjacent windows to have an adequate overlap. There were totally 23 windows for the inter-sheet structure ranging from 1.27 nm to 3.15 nm, and the window width was approximately 0.082 nm. Inside each window, a 5-ns NPT simulation with the simulation parameters described above was performed.

2.5. Data analysis methods

To obtain the intermolecular bond stiffness, the lowest potential wells of the PMFs around the equilibrated structures were fitted by a harmonic function, where k is the elastic constant corresponding to the intermolecular bond stiffness, ξ is the reaction coordinate defined as the CoM distance between the pulled part and the fixed part, ξ0 is the equilibrated CoM distance between those two parts, and G0 is the free energy minimum located at the equilibrium conformation.

Since the NPT ensemble was adopted in the simulations, the PMFs actually depict the profile of the one-dimensional Gibbs free energy G along the reaction coordinate. A Δ symbol will be added before each thermodynamic variable in the following equations because the free energy obtained from umbrella sampling is a relative value. The entropy along the reaction coordinate can be calculated by the finite difference of the temperature derivative of the free energy[58] where ΔG is the Gibbs free energy, ξ is the reaction coordinate, T is the temperature, and ΔT is the temperature difference between two simulations. In this work, both the intra- and inter-sheet structures were simulated at two temperatures: 285 K and 300 K, respectively. The enthalpy contribution can then be obtained by

3. Results and discussions
3.1. Mechanical response properties

The loading rate of the external force significantly affects the peak force of the force profile in a steered MD, which is the minimal force required to break the structure.[35,37] To minimize the non-equilibrium effect, we conducted another set of steered MD simulations with a very slow pulling rate of 0.25 nm/ns to study the mechanical response. The results shown in Figure 2 demonstrates three stages for the dissociations of both structures under an external pull at a constant rate. For the intra-sheet structure, from 0 ns to 1 ns the force linearly increases up to a peak value but ξ has little increase; from 1 ns to 3.5 ns the force decreases in a complex way and ξ increases linearly with a rate of 3.6 Å/ns; from 3.5 ns to 10 ns the force fluctuates around zero and ξ increases linearly with a rate of 3.6 Å/ns. For the inter-sheet structure, from 0 ns to 2 ns the force increases linearly to a peak value but ξ has little increase; from 2 ns to 5.2 ns the force decreases in a complex way and ξ increases linearly with a rate of 3.5 Å/ns; from 5.2 ns to 10 ns the force fluctuates around zero and ξ increases linearly with a rate of 3.8 Å/ns. As shown in Fig. 2(a), the peak force for the intra-sheet structure is about 211 kJ/(mol/nm), a little smaller than about 300 kJ/(mol/nm) for the inter-sheet structure, and the times required to reach the peak value are about 1 ns and 2 ns, respectively. Since the peak force equals the minimum force required to break the structure, and the intra-sheet structure contains only one pair of peptides but the inter-sheet structure contains six pairs of peptides, the minimal force required to break an individual pair of the intra-sheet structure along the H-bonding direction is 211 kJ/(mol/nm) and the corresponding minimal force for the inter-sheet structure along the side-chain direction is 50 kJ/(mol/nm), indicating that the intermolecular forces in the hierarchical self-assembled structures are anisotropic, qualitatively agree with the experimental results obtained by Fitzpatrick et al.[27]

Fig. 2. (color online) Pulling forces and CoM distances as a function of time in the two steered MD simulations with a pulling rate of 0.25 nm/ns at T = 300 K.
3.2. Intermolecular bond stiffness

The PMFs for the intra- and inter-sheet structures have been calculated and are shown in Fig. 3. For both the intra- and inter-sheet structures, there exist almost no free energy barriers during peptide association along the H-bond and side-chain direction. The free energy differences between the associated and dissociated states are −65.3 kJ/mol and −62.4 kJ/mol for the intra- and inter-sheet structures, respectively.

Fig. 3. (color online) Total PMFs at T = 300 K and harmonic fittings of the potential wells for the intra- (a) and inter-sheet (b) structures.

Each PMF in Fig. 3 and S1 in Appendix A exhibits a potential well marked by two dashed lines, which are located at around 0.46 nm for the intra-sheet structure and 1.2 nm for the inter-sheet structure. As shown by the red lines in Fig. 3 and S1, the potential wells can be well fitted by using Eq. (1), so we can estimate the optimal conformation parameters (the CoM distance and the free energy for the equilibrated structures) and the intermolecular bond stiffness for both structures at 285 K and 300 K. All the fitted optimal conformation parameters and intermolecular bond stiffness at 300 K are listed in Table 1, along with the experimental results for the intra- and inter-sheet structures of an amyloid peptide VQIVYK,[27] since no experimental results are available for KIIIIK. The optimal conformation parameters ξ0 for both structures obtained from the simulations agree well with experimental values. The simulation values of the intermolecular bond stiffness k are apparently larger than the experimental values, but both have the same high ratio of about twenty for the intra-sheet value over the inter-sheet value, demonstrating that the intermolecular forces for the two structures are highly anisotropic, consistent with both experimental and simulation results.[27,35] The quantitative difference between our simulation results and the experimental results may be attributed to the difference in peptide types studied by simulation and experiment as well as the fact that peptides in simulation are solvated in water whereas peptides in experiment are dry samples.

Table 1.

Intermolecular bond stiffness values, optimal conformation parameters, and minimum free energies. The data in brackets are experimental results for peptide VQIVYK.[27]

.
3.3. Entropy and enthalpy contributions

According to the thermodynamics relation in Eq. (2), the entropy contribution ΔΔS12 to free energy difference between two states can be calculated by For a spontaneous transition from state ξ1 to state ξ2, if ΔΔS12 > 0, the entropy is the driving force for the association; if ΔΔ S12 < 0, the enthalpy is the driving force. To understand the thermodynamic features of the driving forces for the intra- and inter-sheet structures, we have conducted umbrella sampling simulations for the intra- and inter-sheet structures at the temperatures of 285 K and 300 K, and the PMFs for the two structures are shown in Figs. 4(a) and 4(b). According to the PMFs for the intra-sheet structure in Fig. 4(a), the free energy difference between the associated and dissociated states is −49.3 kJ/mol at 285 K, larger than −65.3 kJ/mol at 300 K. The intermolecular bond stiffness value of the intra-sheet structure at 285 K obtained by fitting the potential well is 6.08 N/m, which is larger than the value of 5.58 N/m at 300 K. The decrease of the free energy difference between the associated and dissociated states with increasing temperature demonstrates that entropy difference between the two states is positive, indicating that entropy contributes to the driving force for peptide association along the H-bond direction. The decrease of the intermolecular bond stiffness with increasing temperature implies that the free energy difference between the equilibrated structure and the state around equilibrated structure increases with increasing temperature, indicating that enthalpy is the driving force keeping the intra-sheet structure stable. The PMFs for the inter-sheet structure in Fig. 4(b) indicate that the free energy difference between the associated and dissociated states is −54.6 kJ/mol at 285 K, which is also larger than −62.4 kJ/mol at 300 K. The intermolecular bond stiffness value of the inter-sheet structure at 285 K is 0.09 N/m, which is smaller than the value of 0.32 N/m at 300 K. The decrease of the free energy difference between the associated and dissociated states with increasing temperature demonstrates that entropy difference between the two states is positive, indicating that entropy contributes to the driving force for peptide association along the side-chain direction. The increase of the intermolecular bond stiffness with increasing temperature implies that the free energy difference between the equilibrated structure and the state around equilibrated structure decreases with increasing temperature, indicating that entropy also contributes to the driving force keeping the inter-sheet structure stable.

Fig. 4. (color online) PMFs at T = 285 K and 300 K for the intra-sheet structure (a) and the inter-sheet structure (b), as well as the entropy and enthalpy contributions at T = 300 K for the intra-sheet structure (c) and the inter-sheet structure (d).

To identify the thermodynamic driving forces for the association processes along the reaction coordinates in detail, the entropy (−TΔS) and enthalpy (ΔH) contributions for both structures in the association process were obtained by Eqs. (2) and (3) based on the PMFs at 285 K and 300 K. Since the PMFs for the associated states are smaller than those for the dissociated states, when −TΔS decreases with decreasing ξ, the association is driven by entropy; when ΔH decreases with decreasing ξ, the association is driven by enthalpy. From Figs. 4(c) and 4(d), we can see that the curves of the entropy and enthalpy contributions for both structures undulate, indicating that enthalpy and entropy in turn drive the association of the strands for the intra-sheet structure along the H-bond direction and the cross-β sheets for the inter-sheet structure along the side chain direction. The results for the formation of intra-sheet structure in Fig. 4(c) show that −TΔS decreases but ΔH increases when ξ decreases from 0.82 nm to 0.7 nm, indicating that the association from 0.82 nm to 0.7 nm is entropy driven. From 0.70 nm to 0.54 nm, −TΔS increases but ΔH decreases, indicating that the driving force is enthalpy. From 0.54 nm to 0.47 nm, −TΔS decreases but ΔH increases, indicating that the driving force is entropy. From 0.47 nm to 0.38 nm, −TΔS increases but ΔH decreases, indicating that the driving force is enthalpy. Comparing −TΔS and ΔH at the associated state when ξ is about 0.45 nm with those at the dissociated state where ξ is larger than 2.5 nm, we can see that −TΔS for the associated state is smaller than that for the dissociated state, whereas ΔH is larger. These results indicate that entropy overall drives the whole association process, but enthalpy stabilizes the equilibrium intra-sheet structure at the distance of about 0.45 nm. Similar to the discussion for the formation of intra-sheet structure, the association of cross-β sheets can be divided into five ranges whose driving forces are entropy, enthalpy, entropy, enthalpy, and entropy in the ranges from 2.13 nm to 1.97 nm, 1.97 nm to 1.78 nm, 1.78 nm to 1.70 nm, 1.70 nm to 1.52 nm, and 1.52 nm to 1.29 nm, as shown in Fig. 4(d). Comparing −TΔS and ΔH at the associated state for ξ around 1.27 nm with those at the dissociated state with ξ larger than 2.5 nm, we can see that −TΔS for the associated state is smaller than that for the dissociated state, but ΔH is larger. These results indicate that entropy also drives the formation of the inter-sheet structure for the whole association process, and entropy stabilizes the equilibrium inter-sheet structure at about 1.27 nm.

3.4. Roles of microscopic interactions between different groups

The VDW and electrostatic interactions between different parts have been analyzed in detail to unravel the anisotropy of the intermolecular bond stiffness and the difference in thermodynamic driving forces for the intra- and inter-sheet structures. The short-range pairwise interactions between peptide–peptide EPP, peptide–solvent EPS, and solvent–solvent ESS along the association reaction coordinates have been calculated and are shown in Figs. A2A4 in Appendix A. All the energy differences between the associated and dissociated states are clearly different, as listed in Table 2. Here the short-range non-bonded interactions contain the VDW and electrostatic energies between atom pairs whose distances are less than 1.2 nm. The Ea energy of the associated state is defined as the average energy of structures with ξ smaller than 0.5 nm for the intra-sheet structure or smaller than 1.4 nm for the inter-sheet structure. The Ed energy of the dissociated state is defined as the average energy of structures with ξ larger than 2.5 nm for both structures. From Table 2 we can see that, for both structures, ΔEPP (peptide–peptide) and ΔESS (solvent–solvent) are negative, but ΔEPS (peptide–solvent) is positive, indicating that the total short-range interactions between peptides promote association and only the peptide-solvent interaction promotes dissociation.

Table 2.

Short-range non-bonded energies of the associated and dissociated states and their differences.

.

To determine the contributions of the hydrophobic side chains and the hydrophilic backbones of KIIIIK to EPP, the interactions between side chains, EScSc, and those between backbones, EBbBb, are now calculated. Starting with the intra-sheet structure, we can see that, with increasing ξ increases towards zero whereas decreases towards zero, as shown in Fig. 5(a). The energy differences between the associated and dissociated states and are −25 kJ/mol and 2.5 kJ/mol, respectively, indicating that interactions between hydrophobic side chains promote the formation of the intra-sheet structure through the VDW interaction. For the interaction between hydrophilic backbones, both and increase towards zero as ξ increases (Fig. 5(c)) and and are −30 kJ/mol and −115 kJ/mol, respectively, indicating that the interactions between hydrophilic backbones are dominated by the electrostatic interactions and promote the formation of the intra-sheet structure. Since is significantly smaller than , the electrostatic interactions between hydrophilic backbones should dominate the formation of the intra-sheet structure.

Fig. 5. (color online) Short-range non-bonded energies between different groups of the pulled and fixed parts as a function of ξ for the intra- and inter-sheet structures at T = 300 K. Panels (a) and (c) are non-bonded energies of the hydrophobic side chain-side chain and hydrophilic backbone-backbone interactions for the intra-sheet structure, and panels (b) and (d) are those for the inter-sheet structure.

For the inter-sheet structure, Figure 5(b) shows that, with increasing ξ, increases towards zero but changes little from around zero. is about −110 kJ/mol, indicating that the interactions between hydrophobic side chains promote the formation of the inter-sheet structure and mainly come from the VDW interactions. For the interactions between hydrophilic backbones, both and show little change from around zero as ξ increases, indicating that the interactions between hydrophilic backbones have little effect on the formation of the inter-sheet structure.

The competition between the peptide-peptide and peptide-solvent interactions has a significant influence on the peptide conformations and association of peptides in the hierarchical processes.[59,60] The ensemble average of the short-range non-bonded energy of the solvent in the shell around the peptide from x nm to x + 0.1 nm will be denoted as EPSx. According to EPSx from 0.2 nm to 0.6 nm shown in Figs. A5A8 in Appendix A, we find that both the VDW and electrostatic energies between peptide and solvent in different shells are sensitive to ξ and variations of these non-bonded energies with respect to ξ are different in different shells. To distinguish the roles of the hydrophilic backbones and the hydrophobic side chains in the peptide-solvent interactions, the short-range non-bonded energies between hydrophobic side chains and solvent in shells from 0.2 nm to 0.6 nm (EScSx) and those between hydrophilic backbones and solvent in the shells (EBbSx) were calculated for each umbrella-sampling window.

For the hydrophobic side chains in the formation of the intra-sheet structure, increases but , , and decrease with ξ, as shown in Fig. 6. The energy differences between associated and dissociated states are −11, 15, 10, and 13 kJ/mol for , , , and , respectively. These results indicate that only the VDW interaction of the hydrophobic side chain with water in the shell from 0.2 nm to 0.3 nm promotes the formation of the intra-sheet structure, but those with water in the other shells promote the dissociation of the intra-sheet structure. The electrostatic energies, , , , and show little change with ξ in Fig. 6, indicating that the electrostatic interaction of hydrophobic side chains with water has little effect on the formation of the intra-sheet structure.

Fig. 6. (color online) Short-range non-bonded energies between the hydrophobic side chains and solvents around the strands in different shells as a function of ξ for the intra-sheet structure at T = 300 K. Panels (a), (b), (c), and (d) correspond to shells from 0.2 nm to 0.3 nm, 0.3 nm to 0.4 nm, 0.4 nm to 0.5 nm, and 0.5 nm to 0.6 nm, respectively.

For the hydrophilic backbone in the formation of the intra-sheet structure, increases but , , and decrease with ξ, as shown in Fig. 7. The energy difference between the associated and dissociated states are −38, 5, 25, and 11 kJ/mol for , , , and , respectively. These results indicate that the VDW interaction of the hydrophilic backbones with water in the shell from 0.2 nm to 0.3 nm promotes the formation of the intra-sheet structure, but those with water in the other shells promote the dissociation of the intra-sheet structure. The electrostatic energies in Fig. 7, , , , and decrease with ξ and the electrostatic energy differences between associated and dissociated states are 20, 46, 65, and 58 kJ/mol for , , , and , respectively. These results indicate that the electrostatic interactions of hydrophilic backbones with water in all the shells promote the dissociation of the intra-sheet structure.

Fig. 7. (color online) Short-range non-bonded energies between the hydrophilic backbones and solvents around the strands in different shells as a function of ξ for the intra-sheet structure at T = 300 K. Panels (a), (b), (c), and (d) correspond to shells from 0.2 nm to 0.3 nm, 0.3 nm to 0.4 nm, 0.4 nm to 0.5 nm, and 0.5 nm to 0.6 nm, respectively.

For the hydrophobic side chain in the formation of the inter-sheet structure, increases but , , and decrease with ξ as shown in Fig. 8. The VDW energy differences between associated and dissociated states are −17, 60, 63, and 36 kJ/mol for , , , and , respectively. These results indicate that only the VDW interaction of the hydrophobic side chain with water in the shell from 0.2 nm to 0.3 nm promotes the formation of the inter-sheet structure, but those with water in the other shells promote the dissociation of the inter-sheet structure. For the electrostatic energies, , , , and fluctuate around zero, as shown in Fig. 8, and show little change as ξ increases, indicating that the electrostatic interactions of hydrophobic side chains with water have little effect on the formation of the inter-sheet structure.

Fig. 8. (color online) Short-range non-bonded energies between the hydrophobic side chains and solvents around the sheets in different shells as a function of ξ for the inter-sheet structure at T = 300 K. Panels (a), (b), (c), and (d) correspond to the shells from 0.2 nm to 0.3 nm, 0.3 nm to 0.4 nm, 0.4 nm to 0.5 nm, and 0.5 nm to 0.6 nm, respectively.

For the hydrophilic backbone-solvent in the inter-sheet structure in Fig. 9, all the interaction energies show little change with ξ and fluctuate around 234, −68, −163, −102, −64, −288, −394, and −322 kJ/mol for , , , , , , , and , respectively. These results indicate that both the VDW and electrostatic interactions of the hydrophilic backbones with water have little effect on the formation of the inter-sheet structure.

Fig. 9. (color online) Short-range non-bonded energies between the hydrophilic backbones and solvents around the sheets in different shells as a function of ξ for the inter-sheet structure at T = 300 K. Panels (a), (b), (c), and (d) correspond to shells from 0.2 nm to 0.3 nm, 0.3 nm to 0.4 nm, 0.4 nm to 0.5 nm, and 0.5 nm to 0.6 nm, respectively.
4. Conclusions

Quantitative assessment of the intermolecular forces at the microscopic level is important for understanding the nanomechanics and morphologies of nanostructures formed by self-assembly of β-peptides. Utilizing the combination of steered MDs and umbrella sampling methods at the atomistic level, we have quantified the intermolecular bond stiffness for the intra- and inter-sheet structures of KIIIIK and analyzed the thermodynamic driving forces for the formation processes of both structures. By fitting the potential wells of PMFs along the reaction coordinates for the association of strands and cross-β sheets, we have determined the intermolecular bond stiffness and optimal conformational parameters for both structures. The equilibrium distance between neighboring peptides of KIIIIK is about 0.45 nm for the intra-sheet structure, and about 1.27 nm for the inter-sheet structure. The intermolecular bond stiffness values for the intra-sheet and inter-sheet structures are about 5.58 N/m and 0.32 N/m, respectively. The intra-sheet interaction is approximately twenty times stronger than the inter-sheet interaction, indicating that the intermolecular forces that stabilize the hierarchical structures of the self-assembled peptides are highly anisotropic, consistent with the recent experimental results.[27]

Thermodynamic analysis of the association processes revealed that the thermodynamic driving force keeping the intra-sheet structure stable is enthalpy, while that keeping the inter-sheet structure stable is entropy. However, entropy and enthalpy dominate the self-assembly process in turn for both structures. Detailed analysis of the short-range non-bonded interactions between different groups showed that the enthalpy stabilizing the intra-sheet structure comes from the electrostatic interactions between hydrophilic backbones, and the entropy stabilizing the inter-sheet structure comes from the VDW interactions between hydrophobic side chains as well as those between hydrophobic side chains and solvent molecules. The phenomena that the formations of both structures are driven by entropy and enthalpy in turn come from the fact that the effects of peptide-solvent interactions on association are dependent on the distance between solvents and peptides. The VDW interactions between hydrophobic side chains and water molecules promote association at a distance smaller than 0.3 nm, but promote dissociation at distances larger than 0.3 nm.

This work provides an accurate approach for quantifying the intermolecular forces in the hierarchical structures in peptide self-assembly and clarifies the roles of peptide polar groups (backbones), nonpolar groups (hydrophobic side chains) and solvent in different shells in the structural formation of self-assembled cross-β peptides. Although we have only done the calculations for peptide KIIIIK, the qualitative conclusions on the formation mechanism should also apply to other cross-β peptides. These results are helpful for understanding the nanomechanics of single nanostructures and realizing controllable self-assembling process of cross-β peptides via changing temperature, tuning solvent conditions, or alternating peptide sequence, and so on.

Reference
[1] Yan X H Cui Y He Q et al. 2008 Chem. Eur. J. 14 5974
[2] Nyrkova I Semenov A N Aggeli A et al. 2000 Eur. Phys. J. 17 499
[3] Deechongkit S Powers E T You S L et al. 2005 J. Am. Chem. Soc. 127 8562
[4] Scanlon S Aggeli A 2008 Nano Today 3 22
[5] Cui H Muraoka T Cheetham A G et al. 2009 Nano Lett. 9 945
[6] Adamcik J Berquand A Mezzenga R 2011 Appl. Phys. Lett. 98 193701
[7] Knowles T P J Buehler M J 2011 Nat. Nanotechnol. 6 469
[8] Zhang S G 2003 Nat. Biotechnol. 21 1171
[9] Ulijn R V Smith A M 2008 Chem. Soc. Rev. 37 664
[10] Zhao X B Pan F Xu H et al. 2010 Chem. Soc. Rev. 39 3480
[11] Hauser C A E Maurer-Stroh S Martins I C 2014 Chem. Soc. Rev. 43 5326
[12] Knowles T P J Vendruscolo M Dobson C M 2014 Nat. Rev. Mol. Cell Bio. 15 496
[13] Liang Y Pingali S V Jogalekar A S et al. 2008 Biochemistry-us. 47 10018
[14] Mehta A K Lu K Childers W S et al. 2008 J. Am. Chem. Soc. 130 9829
[15] Castelletto V Hamley I W Cenker C et al. 2010 J. Phys. Chem. 114 8002
[16] Adamcik J Mezzenga R 2011 Soft Matter 7 5437
[17] Castelletto V Hamley I W Harris P J F et al. 2009 J. Phys. Chem. 113 9978
[18] Hamley I W Nutt D R Brown G D et al. 2010 J. Phys. Chem. 114 940
[19] Jordens S Adamcik J Amar-Yuli I et al. 2011 Biomacromolecules 12 187
[20] Smith J F Knowles T P J Dobson C M et al. 2006 Proc. Natl. Acad. Sci. USA 103 15806
[21] Adamcik J Jung J M Flakowski J et al. 2010 Nat. Nanotechnol. 5 423
[22] Adamcik J Mezzenga R 2012 Curr. Opin. Colloid In. 17 369
[23] Aggeli A Nyrkova I A Bell M et al. 2001 Proc. Natl. Acad. Sci. USA 98 11857
[24] Nelson R Sawaya M R Balbirnie M et al. 2005 Nature 435 773
[25] Sawaya M R Sambashivan S Nelson R et al. 2007 Nature 447 453
[26] Fitzpatrick A W P Debelouchina G T Bayro M J et al. 2013 Proc. Natl. Acad. Sci. USA 110 5468
[27] Fitzpatrick A W P Vanacore G M Zewail A H 2015 Proc. Natl. Acad. Sci. USA 112 3380
[28] Knowles T P Fitzpatrick A W Meehan S et al. 2007 Science 318 1900
[29] Li Y Sun Y Qin M et al. 2015 Nanoscale 7 5638
[30] Nyrkova I Semenov A N Aggeli A et al. 2000 Eur. Phys. J. 17 481
[31] Deng L Zhao Y R Xu H et al. 2015 Appl. Phys. Lett. 107 043701
[32] Zhou P Deng L Wang Y T et al. 2016 J. Colloid. Interf. Sci. 464 219
[33] Sotomayor M Schulten K 2007 Science 316 1144
[34] Paparcone R Buehler M J 2011 Biomaterials 32 3367
[35] Ndlovu H Ashcroft A E Radford S E et al. 2012 Biophys. J. 102 587
[36] Choi B Yoon G Lee S W et al. 2015 Phys. Chem. Chem. Phys. 17 1379
[37] Xu C J Li D C Cheng Y et al. 2015 Acta Mech. Sin. 31 416
[38] Jarzynski C 1997 Phys. Rev. Lett. 78 2690
[39] Patey G N Valleau J P 1973 Chem. Phys. Lett. 21 297
[40] Torrie G M Valleau J P 1974 Chem. Phys. Lett. 28 578
[41] Vijayaraj R Van Damme S Bultinck P et al. 2012 J. Phys. Chem. 116 9922
[42] Yu T Lee O S Schatz G C 2013 J. Phys. Chem. 117 7453
[43] Lemkul J A Bevan D R 2010 J. Phys. Chem. 114 1652
[44] Zhao Y R Wang J Q Deng L et al. 2013 Langmuir. 29 13457
[45] Deng L Zhou P Zhao Y R et al. 2014 J. Phys. Chem. 118 12501
[46] DeLano W L 2002 The PyMOL molecular graphics system San Carlos Scientific
[47] Humphrey W Dalke A Schulten K 1996 J. Mol. Graph. 14 33
[48] Van der Spoel D Lindahl E Hess B et al. 2005 J. Comput. Chem. 26 1701
[49] Jorgensen W L Maxwell D S 1996 J. Am. Chem. Soc. 118 11225
[50] Jorgensen W L Tirado-Rives J 2005 Proc. Natl. Acad. Sci. USA 102 6665
[51] Jorgensen W L William L Chandrasekhar J et al. 1983 J. Chem. Phys. 79 926
[52] Darden T York D Pedersen L 1993 J. Chem. Phys. 98 10089
[53] Essmann U Perera L Berkowitz M L et al. 1995 J. Chem. Phys. 103 8577
[54] Nose S 1984 Mol. Phys. 52 255
[55] Hoover W G 1985 Phys. Rev. 31 1695
[56] Parrinello M Rahman A 1981 J. Appl. Phys. 52 7182
[57] Kumar S Bouzida D Swendsen R H et al. 1992 J. Comb. Chem. 13 1011
[58] Mondal J Yethiraj A 2011 J. Phys. Chem. Lett. 2 2391
[59] Klimov D K Straub J E Thirumalai D 2004 Proc. Natl. Acad. Sci. USA 101 14760
[60] Li W F Qin M Tie Z X et al. 2011 Phys. Rev. 84 041933