| Molecular Dynamics Simulations on the Oligomer-Formation Process of the GNNQQNY Peptide from Yeast Prion Protein Sup35 Biophysical Journal, Volume 93, Issue 5, 1 September 2007, Pages 1484-1492 Zhuqing Zhang, Hao Chen, Hongjun Bai and Luhua Lai Abstract Oligomeric intermediates are possible cytotoxic species in diseases associated with amyloid deposits. Understanding the early steps of fibril formation at atomic details may provide useful information for the rational therapeutic design. In this study, using the heptapeptide GNNQQNY from the yeast prion-like protein Sup35 as a model system, for which a detailed atomic structure of the fibril formed has been determined by x-ray microcrystallography, we investigated its oligomer-formation process from monomer to tetramer at the atomistic level by means of a molecular dynamics simulation with explicit water. Although the number of simulations was limited, the qualitative statistical data gave some interesting results, which indicated that the oligomer formation might start from antiparallel -sheet-like dimers. When a new single peptide strand was added to the preformed dimers to form trimers and then tetramers, the transition time from disorder aggregates to regular ones for the parallel alignment was found to be obviously much less than for the antiparallel one. Moreover, the parallel pattern also statistically stayed longer, providing more chances for oligomer extending, although the number of parallel stack events was almost equal to antiparallel ones. Therefore, our simulations showed that new strands might prefer to extend in a parallel arrangement to form oligomers, which agrees with the microcrystal structure of the amyloid fibril formed by this peptide. In addition, analysis of the - stacking of aromatic residues showed that this type of interaction did not play an important role in giving directionality for -strand alignment but played a great influence on stabilizing the structures formed in the oligomer-formation process. Abstract | Full Text | PDF (387 kb) |
| Assembly and Kinetic Folding Pathways of a Tetrameric β-Sheet Complex: Molecular Dynamics Simulations on Simplified Off-Lattice Protein Models Biophysical Journal, Volume 86, Issue 1, 1 January 2004, Pages 31-49 Hyunbum Jang, Carol K. Hall and Yaoqi Zhou Abstract We have performed discontinuous molecular dynamic simulations of the assembly and folding kinetics of a tetrameric -sheet complex that contains four identical four-stranded antiparallel -sheet peptides. The potential used in the simulation is a hybrid Go-type potential characterized by the bias gap parameter , an artificial measure of a model protein's preference for its native state, and the intermolecular contact parameter , which measures the ratio of intermolecular to intramolecular native attractions. The formation of the -sheet complex and its equilibrium properties strongly depend on the size of the intermolecular contact parameter . The ordered -sheet complex in the folded state and nonaligned -sheets or tangled chains in the misfolded state are distinguished by measuring the squared radius of gyration and the fraction of native contacts . The folding yield for the folded state is high at intermediate values of , but is low at both small and large values of . The folded state at small is liquid-like, but is solid-like at both intermediate and large . The misfolded state at small contains nonaligned -sheets and tangled chains with poor secondary structure at large . Various folding pathways via dimeric and trimeric intermediates are observed, depending on . Comparison with experimental results on protein aggregation indicates that intermediate values are most appropriate for modeling fibril formation and small values are most appropriate for modeling the formation of amorphous aggregates. Abstract | Full Text | PDF (557 kb) |
| Formation of Partially Ordered Oligomers of Amyloidogenic Hexapeptide (NFGAIL) in Aqueous Solution Observed in Molecular Dynamics Simulations Biophysical Journal, Volume 87, Issue 5, 1 November 2004, Pages 3000-3009 Chun Wu, Hongxing Lei and Yong Duan Abstract A combined total of more than 600.0ns molecular dynamics simulations with explicit solvent have been carried on systems containing either four peptides or a single peptide to investigate the early-stage aggregation process of an amyloidogenic hexapeptide, NFGAIL (residues 22–27 of the human islet amyloid polypeptide). Direct observation of the aggregation process was made possible by placing four peptides in a box of water with an effective concentration of 158mg/ml to enhance the rate of aggregation. Partially ordered oligomers containing multistrand -sheets were observed which could be the precursory structures leading to the amyloid-forming embryonic nuclei. Comparative simulations on a single peptide suggested that the combined effect of higher peptide concentration and periodic boundary condition promoted compact monomers and the short-range interpeptide interactions favored the -extended conformation. Of particular interest was the persistent fluctuation of the size of the aggregates throughout the simulations, suggesting that dissociation of peptides from the disordered aggregates was an obligatory step toward the formation of ordered oligomers. Although 95% of peptides formed oligomers and 44% were in -extended conformations, only 16% of peptides formed multistrand -sheets. The disordered aggregates were mainly stabilized by hydrophobic interactions while cross-strand main-chain hydrogen bonds manifested the ordered oligomers. The transition to the -extended conformation was mildly cooperative due to short-range interactions between -extended peptides. Taken together, we propose that the role of hydrophobic interaction in the early stage of aggregation is to promote disordered aggregates and disfavor the formation of ordered nuclei and dissociation of the disordered oligomers could be the rate-limiting step at the initiation stage. Abstract | Full Text | PDF (285 kb) |
Copyright © 2005 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 89, Issue 6, 3701-3713, 1 December 2005
doi:10.1529/biophysj.104.055590
Biophysical Theory and Modeling
Ángel Piñeiro*, 1, Alessandra Villa*, 2, Toni Vagt†, Beate Koksch† and Alan E. Mark*,
, 
* Department of Biophysical Chemistry, University of Groningen, 9747 AG Groningen, The Netherlands
† Free University Berlin, Institute of Chemistry-Organic Chemistry, 14195 Berlin, Germany
Address reprint requests to Prof. Alan E. Mark, Dept. of Biophysical Chemistry, University of Groningen, Nijenborgh 4, 9747 AG Groningen, The Netherlands. Tel.: 31-50-3634457; Fax: 31-50-3634800.The prediction of protein structure from sequence is one of the grand challenges for the biomolecular sciences. One step toward this objective is to understand the formation of typical domains found in larger proteins. One of the simplest and most widespread motifs in nature is the so-called α-helical coiled coil 1, which consists of two or more α-helices wound around each other, forming a superhelix. Coiled coils commonly contain a heptad of residues labeled a–g repeated at least three or four times. The a and d positions are usually occupied by hydrophobic residues, which form the core of the structure 2,3. Because coiled coils frequently display common features, several computational programs 4,5,6,7,8,9,10 using different algorithms have been developed specifically to recognize this type of packing. By means of these tools, coiled coils involved in the stability of a large number of tertiary structures and oligomerization domains 2,11 as well as related structures such as α-sheets and α-cylinders 12 have been identified. It has been estimated 10 that between 5% and 10% of the sequences from various genome projects encode coiled coil regions. In particular coiled coils play an important role in the replication of DNA 13 and membrane fusion 14,15.
Synthetic short peptides or small domains from natural proteins that independently form helical bundles are also of interest as model systems to understand quaternary structure formation in proteins. With this aim several authors have studied the folding pathway of coiled coils. Most dimers of α-helices characterized so far suggest that folding and dimerization are coupled and that folding may best be described by a two-state model 3,16,17,18. However, the study of thermal unfolding by circular dichroism (CD) spectroscopy and differential scanning calorimetry (DSC) suggests that in certain cases small mutations may change the process from a two-state transition to one which is more complex and less cooperative 16,19. Also, recently it has been shown that the thermal unfolding of the coiled coil domain of yeast GCN4, a leucine zipper, exhibits at least three transitions. The first two involve transitions within the dimer itself, whereas the last one is associated with the process of dissociation 20.
The coiled coil motif is simple yet versatile. For example, dimers and trimers of α-helices have been designed to act as specific receptors for the molecular recognition of ligands 21 and also to deliver radionuclides to the surface of cancer cells 22. Coiled coils have been extensively investigated using a wide variety of approaches including NMR, x-ray diffraction, fluorescence and CD spectroscopy, protein engineering, isothermal titration, and DSC, as well as theoretical approaches including Monte Carlo and molecular dynamics (MD) simulation techniques 16,20,21,22,23,24,25,26,27,28,29,30,31,32. However, despite such intensive investigation, the precise nature of the folding pathway, the factors that determine the relative orientation of the helices, the oligomerization state, and the overall stability of coiled coils are unclear. A well-known example is the case of the Coil-Ser 33, an antiparallel trimer of peptides initially designed to fold into a parallel dimer. The antiparallel conformation was unexpected due to the repulsive electrostatic forces between the charged residues. A large number of mutations have been performed to help to understand the stability of this structure 34, and several hypotheses have been proposed 35,36. The parallel trimer Coil-VaLd, a mutant of Coil-Ser, suggests that the packing of the hydrophobic residues plays an important role. Nevertheless other contributions cannot be disregarded. One difficulty in studying coiled coils is that the most powerful tool to characterize the structure of proteins in solution, NMR, is often unable to distinguish relative orientation of peptides forming coiled coils because of the very similar primary structure. Computational approaches, such as MD simulation techniques, however, in principle offer a means to understand interactions in coiled coil systems in atomic detail.
To date most of the MD simulations of coiled coils reported in the literature have been performed in vacuum 37,38,39, with specific constraints in the simulations 40 or using simplistic models 41. There have also been some studies of α-helical bundles in lipid bilayers 42,43, and Gorfe et al. 32 carried out MD simulations in coiled coil systems in explicit water but focused on pKa calculations rather than the properties of the coiled coils themselves. To our knowledge, no systematic MD study of the stability of coiled coils using explicit water and without structural restraints has yet been published.
In this work, we investigate the extent to which MD simulations can be used to study spontaneous formation and stability of coiled coils. The work is based on a series of model sequences developed in the group of Prof. Koksch (Berlin). A self-complementary sequence, peptide B, based on simple empirical rules was designed which shows a clear coiled coil pattern in the CD spectra. In addition a second sequence, peptide E, was also developed. Peptide E was designed to be nonself-complementary at pH 7.4 and showed no evidence of coiled coil formation at this pH but was intended to be complementary to peptide B, i.e., peptide E should form a coiled coil when mixed with peptide B. The peptides were designed to form either an ideal parallel homodimeric (B+B) or antiparallel heterodimeric (B+E) structure. Our aim in this study was to use MD simulations to investigate if it is possible to simulate the formation of coiled coils, to characterize the arrangement of residues in the interface for comparison to the original design principles, and to investigate if MD simulations can discriminate between different stoichiometries/orientations of coiled coils.
All peptides were synthesized by standard Fmoc chemistry on Fmoc-Leu-Wang resin (0.68 mmol/g) using a 431 A peptide synthesizer (Applied Biosystems, Foster City, CA). Purification was carried out by preparative reversed phase high-performance liquid chromatography (HPLC) on a Vydac C4 column (Grace Vydac, Hesperia, CA. The molecular weight of the products was determined by MALDI-TOF mass spectrometry using a Voyager MALDI-TOF Mass spectrometer (PerSeptive Biosystems, Framingham, MA), and their purity was determined by analytical HPLC.
CD measurements of peptides in buffered solution (10mM Tris, 10mM NaCl, pH 7.4) were carried out on a J-715 spectrometer (Jasco Inc., Easton, MD) using a quartz cell of 1mm path length. Spectra were recorded at 298K from 190–240nm at 0.5nm resolution with a scan rate of 20 nm/min. Three scans were acquired and averaged for each sample. Raw data were noise reducted by smoothing and subtraction of buffer spectra. CD values were expressed as molar ellipticity.
The MD simulations were performed using the GROMACS package version 3.0 44,45,46 with the GROMOS96 (43a2) force field 47,48 and the simple point charge (SPC) water model 49. This force field treats aliphatic hydrogen atoms as united atoms, together with the carbon atom to which they are attached. Periodic boundary conditions with a rhombic dodecahedron box as the basic unit cell in the NPT ensemble were used. The pressure was maintained by weak coupling to a reference pressure of 1 bar, with a coupling time of 0.5ps and an isothermal compressibility of 4.6 10−5bar−150. The number of water molecules used in each system varied between ∼7000 and ∼17,000 depending on the size of the simulation box. Water and peptides were coupled separately to a temperature bath 50 at 298K using a coupling constant of 0.1ps. Nonbonded interactions were evaluated using a twin range cutoff of 0.9 and 1.4nm, interactions within the shorter and longer cutoffs being updated every step and every five steps, respectively. Beyond the 1.4nm cutoff, a reaction field correction with a dielectric constant ɛ of 78.0 was used. The time step was 2 fs. The bond lengths and angle in water were constrained using the SETTLE algorithm 51, and the LINCS algorithm 52 was used to constrain bond lengths within the peptide. The equations of motion were integrated using the leapfrog method.
The amino acid sequence of peptide B is given in Figure 1a. In Figure 1bc, models of antiparallel and parallel coiled coils consisting of two B peptides are presented. To attempt to study the spontaneous formation of parallel and antiparallel coiled coils, different initial configurations, in which the relative positions of two B peptides were varied, were constructed using tools from the GROMACS package and the program visual molecular dynamics (VMD) 53. The arrangement of the peptides used as initial conformations was based on a hypothetical ideal parallel coiled coil in which the leucines of both peptides are oriented to the core of the structure. Starting from this reference structure, the distance, the relative orientation of the leucines, and the angle between the axis of the helices as well as combinations of these three variables were varied (see Fig. 2), generating 12 different initial structures. In all cases, the secondary structure of the individual peptide chains was an ideal α-helix, generated using the program WHATIF 54. In these initial trials, the starting conformation for the two peptides was chosen to be an ideal α-helix so as to facilitate the formation of a coiled coil. The protonation state of the residues was chosen appropriate for approximately pH 7. The N-termini and lysines were protonated, whereas the C-termini and glutamates were deprotonated. Each of these structures was placed in a rhombic dodecahedron box in which the distance between the geometrical center of the adjacent unit cells was between 6.5 and 7nm. The boxes were solvated with preequilibrated SPC water molecules. No counterions were added. The total charge in each simulation box was zero since the basis sequence has no net charge. The initial velocities of the atoms were taken from a Maxwell distribution at 298K. Different random number seeds were used for each simulation. Before carrying out the MD simulations, a steepest descent minimization was performed. Three independent simulations were carried out for certain of the initial configurations, giving 24 simulations in total. In Table 1 the distances and orientations of the helices together with the number of water molecules used for each simulation are listed. Configurations were stored every 20ps during 10ns for analysis. For each configuration, the distance to the nearest periodic image of each peptide was calculated and found to be in most cases >2nm and never <1.6nm, i.e., always larger than the cutoff used for the long-range interactions.
| Table 1 List of MD simulations performed for dimers |
| Name of trajectory | *Starting structure† | No. water molecules | Coiled coil‡ | ||||
|---|---|---|---|---|---|---|---|
| d (nm) | α (deg) | β (deg) | |||||
| aB1–aB3 | 1.43 | 180 | 0 | 6145 | √ (3) | ||
| aB4–aB6 | 1.69 | 180 | 180 | 7063 | |||
| aB7 | 2.02 | 180 | 0 | 7752 | |||
| aB8 | 1.98 | 180 | 180 | 7735 | |||
| pB1–pB3 | 1.42 | 0 | 0 | 6137 | √ (1) | ||
| pB4–pB6 | 1.68 | 0 | 180 | 6738 | |||
| pB7 | 2.02 | 0 | 0 | 7745 | |||
| pB8 | 1.98 | 0 | 180 | 7735 | |||
| xB1–xB3 | 1.42 | 90 | 0 | 6138 | |||
| xB4– xB6 | 1.68 | 90 | 180 | 6147 | |||
| xB7 | 2.02 | 90 | 0 | 7754 | |||
| xB8 | 1.98 | 90 | 180 | 7744 | |||
| aE1 | 1.98 | 180 | 0 | 16751 | |||
| aE2 | 1.11 | 180 | 0 | 16765 | |||
| aE3 | 1.22 | 180 | 0 | 16748 | |||
| pE1 | 1.95 | 0 | 0 | 16749 | |||
| pE2 | 1.06 | 0 | 0 | 16767 | |||
| pE3 | 1.43 | 0 | 0 | 16746 | |||
| aBE1 | 1.97 | 180 | 0 | 16754 | |||
| aBE2 | 1.07 | 180 | 0 | 11739 | √ | ||
| aBE3 | 0.81 | 180 | 0 | 7776 | √ | ||
| pBE1 | 1.98 | 0 | 0 | 16754 | |||
| pBE2 | 1.06 | 0 | 0 | 11744 | |||
| pBE3 | 0.80 | 0 | 0 | 7761 | |||
| Lines between rows separate groups of simulations of the same peptides starting from the same relative orientation of the helices. |
| * a, p, and x denote antiparallel, parallel, and 90°, respectively, between the axis of the helices in the initial conformation. B and E indicate homodimers consisting of peptide B or E, and BE indicates a heterodimer consisting of one peptide B and another peptide E. The last number in the name of the trajectories is an index to distinguish different trajectories. The simulation time was 10ns for all the trajectories except for aB2, aB4, pB1, and xB8, for which it was 110ns. † α is the relative orientation of the helices, 0° corresponds to a parallel orientation, and β is the relative orientation of the leucine residues; 0° means that the leucines of both helices are oriented toward the interface of the dimer. d is the distance between the centers of both helices. The meaning of α, β, and d are also illustrated in Fig. 2. ‡ Marks only appear when coiled coils were observed after the corresponding simulation time, and the number on their right is the number of simulations providing coiled coils given one starting structure. |
The simulations of the B peptides that successfully formed coiled coils were used to investigate the interactions stabilizing the dimers. In addition, to study the effect of changes in the electrostatic and/or hydrophobic interactions on the stability of a coiled coil, a second peptide (peptide E) was also investigated. The amino acid sequence of peptide E is also listed in Figure 1a. Three simulations of dimers formed by combining E+E and E+B starting from an antiparallel and a parallel orientation were performed (12 simulations in total). Figure 1de, shows models of the antiparallel and parallel heterodimeric coiled coils. For the simulations of E+E, a distance of 9nm between centers of adjacent unit cells was used because peptide E was not expected to be stable as an α-helix due to repulsion between charged groups. For the E+B dimers, boxes with three different sizes 7,8, and 9nm) were used. The distances, the orientations of the helices, and the number of water molecules used to solvate the peptides are listed in Table 1. The initial structure of peptide E in all simulations was an ideal helix generated with the program WHATIF.
The protonation state of the residues and N- and C-termini was the same as for peptide B. The net charge of peptide E was −4 e. The question of whether counterions should be added to balance the overall charge in simulations is a matter of continuing debate. In this regard it should be noted that due to its high dielectric constant, explicit water very effectively screens charge-charge interactions at distance. Furthermore, due to the small box size, adding ions to balance the charge in this system would lead to very high effective salt concentration, which could affect the stability of the coiled coils. Thus, so that a direct comparison could be made with the simulations of peptide B, again no counterions were added. This also avoided difficulty associated with the very slow equilibration of the ion distribution.
The stability of trimers and tetramers consisting of monomers of peptide B was studied in a similar manner. A total of six simulations, three with antiparallel and three with parallel conformations, were performed to study the trimers and eight simulations, four antiparallel and four parallel, to investigate the stability of different tetramers. In all cases, the initial structure was a model coiled coil consisting of three or four α-helices with the leucine residues oriented to the core of the structure. The antiparallel trimeric models consisted of two parallel helices and one antiparallel helix, whereas the antiparallel tetrameric structure consisted of a bundle of four α-helices, each one antiparallel to the two adjacent helices and parallel to the diagonal helix. In Figure 1f a representation of an antiparallel trimeric coiled coil is shown. Note, each of the initial configurations differed slightly in respect to the distance or the orientation of the leucines to reduce systematic bias. The distance between the geometrical centers of adjacent unit cells was 8 or 9nm and the boxes solvated with water molecules. No template structure was used to generate the initial configurations. The individual peptides were simply placed in close proximity in the proposed orientation with the leucine residues oriented toward the core of the oligomer.
The total length of the simulations presented in this work is 0.9μs. Analysis of the trajectories was performed with tools from the GROMACS package, using VMD version 1.8 and RASMOL version 2.7 55.
A classic coiled coil structure is formed from two peptides that are predominately α-helical and interact in a parallel or antiparallel orientation by means of a closely packed hydrophobic interface. Longer peptides also show a degree of supercoiling. According to this definition, only 4 of the 24 simulations of peptide B show the formation of a coiled coil dimer from two separated monomers. This is despite the fact that coiled coil formation is believed to be highly cooperative and the initial configurations consisted of two preformed ideal α-helices in close proximity, a configuration specifically chosen to facilitate the formation of coiled coils. From this it is already clear that to simulate the formation of coiled coils from peptides placed randomly in an arbitrary conformation would not be possible on the timescales investigated in this study.
The relative orientation of the peptides forming coiled coils was antiparallel in three trajectories (aB1–aB3) and parallel in the fourth (pB1). The peptides are too short for supercoiling to be observed. In each of these cases the initial separation between the two monomers was small. The initial conformation of the peptides in trajectories aB1–aB3 is shown in Figure 3a with the structures after 10ns from trajectories aB2 and aB3 shown in Figure 3bc. The initial conformation for the trajectory pB1, Figure 3d, was similar to aB1–aB3 except the helices were initially arranged parallel. The conformation at 10ns for this trajectory is shown in Figure 3e. Starting from the same initial conformation two other simulations (pB2 and pB3) did not form an antiparallel coiled coil. The 20 simulations which did not form coiled coils resulted in structures consisting of partially folded α-helices, either separated or interacting with each other in an irregular fashion. An example is shown in Figure 3f, the conformation at 10ns of trajectory pB2.
The variation of the solvent accessible surface (SAS) of the hydrophobic residues for these 24 trajectories was calculated 56. For the trajectories that formed classic coiled coil dimers, a sharp reduction in the SAS was observed during the first nanosecond, which then remained almost constant during the rest of the simulation. A slow, more continuous decrease was observed in the trajectories which did not lead to coiled coils. The root mean square positional deviation (RMSD) for the same 24 simulations was also calculated taking as reference the corresponding initial conformation in each case. The trajectories leading to coiled coils are the most stable. They also remain closer to the initial structure. The results suggest that on this timescale the final structure is highly dependent on the initial conformation. Coiled coils could only be obtained starting from structures with 0° or 180° between the axis of the helices and very short distances between hydrophobic residues. However, a variety of other apparently stable structures was formed after a few nanoseconds in other trajectories. Typically these were characterized by low SAS values which in some cases were comparable to the values of the classic coiled coil structures.
Simulations corresponding to two of the most unfavorable initial conformations, aB4 and xB8, were extended for another 100ns. These trajectories show that increasing the timescale of the simulations by an order of magnitude does not significantly alter the results. A more or less stable structure rapidly forms which slowly evolves to minimize the hydrophobic SAS (data not shown).
The SAS and RMSD of the trajectories aB1–aB3 and pB1 suggest that the dimeric coiled coils obtained are very stable. Calculations of the root mean square positional fluctuation show that just the first and last side chains are mobile. The coiled coil structures as represented by Figure 3bce, are extremely rigid in the simulations, especially in the central regions, whereas alternate structures such as the one shown in Figure 3f are more mobile. Trajectories aB2 and pB1 were extended by 100ns to test whether the antiparallel and parallel coiled coils maintained their respective conformations if the timescale was increased by an order of magnitude. No significant differences between the 10ns trajectories and the 100ns trajectories were evident.
In the idealized schematics of coiled coils presented in Fig. 1, the red and green arrows represent electrostatic interactions between charges of the same and different signs, respectively, and the blue arrows represent hydrophobic interactions. As it is shown in Figure 1c, peptide B was designed to optimize the intermolecular interactions in a hypothetical parallel coiled coil. However in three of the four simulations in which a stable coiled coil was obtained, the orientation of the helices was antiparallel. To analyze how the interactions stabilizing the structures obtained from trajectories aB1–aB3 and pB1 compare with the idealized model, the minimal distances between the charged groups of glutamate and lysine, COO− and
, respectively, and between leucine-leucine residues of different peptides were calculated. In Figure 4 and Figure 5, the distributions of some of these distances obtained from the last 5ns of the trajectories aB2 and pB1 (antiparallel and parallel coiled coils, respectively) are shown. Although only the results from the analysis of aB2 are discussed, the nature of the interactions within the interface was similar in all antiparallel cases. To generate these plots, the six central residues of one of the peptides in each of these trajectories, from lysine 11 at position g to glutamate 16 at position e, were taken as a reference. From Figure 4 and Figure 5, it is clear that the closest contacts between the hydrophobic residues show relatively narrow distributions compared with the charged residues. Note, the distances in Figure 4 and Figure 5 correspond to the centers of the interaction sites, which for leucines are the aliphatic carbon atoms given that the nonpolar hydrogen atoms are not treated explicitly.
) were considered. Minimum distances between atoms in the aliphatic chains should be reduced by ∼0.1nm due to the treatment of the nonpolar hydrogens as united atoms.In the antiparallel coiled coil, the leucine at position a is juxtaposed with one leucine at position d′ (red dashed line in Figure 4b), the distance over the 5ns being 0.4±0.1nm (where the error indicates the width of the distribution at one-half height). The distance to the two closest leucines at position a′ (red and green solid lines in Figure 4b) is larger, 0.6±0.2nm, but the distributions are still narrow. The leucine at position d behaves slightly differently since there are three leucines in the second helix, two at position a′ and one at position d′ (red and blue dashed lines and red solid line in Figure 4e) at similar distances (0.3±0.2nm in one case and 0.4±0.1nm in the other two cases). In contrast, in the parallel coiled coil more regular interactions with the leucines of the second peptide are observed. The distributions of the distances to the three closest leucines at positions a′ and d′ (Figure 5be) overlap almost exactly, the peak being at 0.4±0.2 for all of them.
In regard to the charged groups, in the antiparallel coiled coil the distance between the lysine at position g and the two closest glutamates of the second peptide at position c′ (blue and red dashed lines in Figure 4a) is 0.9±0.4nm, within the cutoff used in the simulations for the electrostatic interactions. Note, any given lysine interacts with glutamates in two repeats and any given glutamate interacts with lysines in two repeats. This suggests attractive interactions which could contribute to the stability of the dimer. Since both helices have the same sequence of amino acids, the distributions of the distances between residues placed at symmetrical positions, glutamate at c and lysines at g′ (red and blue solid lines in Figure 4d), are very similar. The distance between the same lysine at position g and the glutamates at position e′ (red and green solid lines in Figure 4a) is also within the cutoff during a significant part of the trajectory (1.4±0.3nm), indicating a weak interaction. The symmetrical interaction between the glutamate at position e and lysines at position g′ appears to be even weaker, the distance being 1.7±0.3nm. These residues are almost always separated by more than the cutoff. The distances between all the remaining charged groups for the antiparallel coiled coil are beyond the cutoff over the 5ns. This means that both lysine at position b (Figure 4c) and glutamate at position e (Figure 4f) do not have direct attractive electrostatic interactions with any residue of the second helix. The lack of significant attractive interactions involving these two residues in the antiparallel coiled coil was already expected from the model presented in Figure 1b. In the parallel coiled coil the distance between the lysine at position g and the glutamates at position e′ (blue and red solid lines in Figure 5a) is within the cutoff over almost the 5ns (0.9±0.4nm). The distributions of the distances between glutamate at position e and lysines at position g′ (blue and red solid lines in Figure 5f) are very similar, showing the symmetrical interaction since both helices have the same sequence of amino acids. As was also expected from the model shown in Figure 1c, the residues at positions c and b do not interact significantly with the second helix.
By comparing the distributions of the leucine-leucine distances, it is evident that the arrangement of the hydrophobic residues at the interface between the peptides depends on the orientation of the helices in the dimer. The packing of the leucines in the antiparallel and parallel coiled coils can be appreciated in detail in Figure 3be, where the side chains of the leucine residues at positions a and d of both peptides are represented with different colors. In the parallel coiled coil all of the leucines are oriented to the core of the dimer, forming a hydrophobic interface with a type of knobs into holes packing. However, in the antiparallel coiled coil formed in the simulations, the leucines at positions a and d′ are oriented perpendicularly to the plane containing the axis of both helices. Only the leucines at positions d and a′ are clearly interacting with each other. It is important to note, however, that the interfaces in both the antiparallel and parallel coiled coils are tightly packed. As discussed in detail later a range of residues, in particular the nonpolar regions of the lysine side chains, form extensive hydrophobic interactions in the antiparallel case.
According to the idealized model presented in Figure 1b, interactions between the lysine at position g and the glutamate at position c′ in the antiparallel coiled coil as well as interactions between the glutamate at position c and the lysine at position g′ were not expected. Also no difference in the packing of the hydrophobic core between the parallel and antiparallel orientations was expected. To better understand the role of the lysine residues in the stability of the antiparallel dimer, the minimum distances between the lysine and leucine residues and between the lysine and lysine residues of different peptides along the last 5ns of the trajectories aB1–aB3 were calculated. In these calculations all of the atoms that comprise the lysine residues were taken into account. In Fig. 6 the distributions of these distances for the lysines 11 and 18 at position g for the trajectory aB2 are plotted. Very narrow distributions for the distances to the leucines were observed (0.4±0.1nm), suggesting hydrophobic interactions between the side chain of lysines and the hydrophobic core of the dimer (Figure 6ab). The distances from the lysines at position g to the lysines at position g′ have very similar distributions, indicating that the side chains of these residues also participate in the packing at the interface of the dimer (Figure 6cd). Fig. 7 shows the arrangement of the lysine residues at positions g and g′ of both peptides together with the leucines at position d′ of the second peptide. The relative orientation of the lysines in the different helices highlighted in Fig. 7 also suggests hydrophobic interactions between these side chains. Stable lysine-lysine interfaces have been found previously in other designed coiled coils 57 and may also play a role in the unexpected stability of the antiparallel trimer Coil-Ser 33.
The intramolecular distances between the charged groups of the glutamate and lysine residue within each peptide were also calculated (data not shown). The distributions corresponding to the individual glutamate-lysine pairs have a maximum at ∼0.4nm. This suggests that the intramolecular electrostatic interactions are more significant than intermolecular ones. The proximity between the glutamate and lysine residues within one peptide might also screen unfavorable charge-charge interactions between the lysines residues which lie in close proximity in the antiparallel orientation.
In light of the findings above, a modified model for the interaction of the residues in the antiparallel B+B coiled coil can be proposed. The electrostatic and the hydrophobic interactions suggested by the MD simulations are illustrated in Fig. 8. These differ significantly from those proposed in Figure 1b and on which the design was based. Specifically, we find that in addition to the leucine residues at the interface, lysine-lysine interactions play a central role in stabilizing the structure. Weak hydrophobic interactions between the side chains of glutamate and leucine and/or hydrogen bonds between the serines and glutamates may also contribute to stability but are only of secondary importance.
Another factor which could favor an antiparallel orientation of any coiled coil is the dipole moment of the helices which arises from the peptide backbone 58,59. For example, this has been proposed to explain the stability of the antiparallel trimer Coil-Ser 33. However, the stability of the parallel trimer Coil-VaLd34,35, a mutant of Coil-Ser in which the leucines at position a have been changed by valine, suggests that the packing of the hydrophobic residues at the interface of the dimer can be sufficient to determine the orientation of the helices. It should also be noted that although the helix dipole favors an antiparallel orientation in vacuum or in a nonpolarizable implicit solvent, in a highly polarizable medium such as water, the helix dipole will be in part compensated by an induced dipole in the environment. In addition, in simulations performed under periodic boundary conditions it is possible that this effect could be enhanced and parallel orientations stabilized artificially due to the interaction between neighboring periodic images.
Peptide E was designed such that it could not form complementary electrostatic interactions with itself in either a parallel or antiparallel orientation but would form complementary electrostatic interactions with peptide B in an antiparallel orientation (see Figure 1d). In the simulations performed with homodimers of peptide E, it was not possible to obtain a stable coiled coil. In all the trajectories, regardless of the initial orientation of the helices both monomers start to unfold within picoseconds. These simulations strongly suggest that in this case the effect of the intramolecular electrostatic forces dominate. It should be noted in this regard that although the peptide E carries a net charge of −4 e no counterions were included in the simulation. The reasons for this are listed in the Methods section. Certainly, counterions might moderate the electrostatic interactions. However, at the concentrations at which these peptides are studied experimentally (10mM NaCl), the volume of the simulation box would contain on average only between 1 and 2 Na+ ions. In addition, these ions would not necessarily be directly associated with either of the peptides.
Experimental investigations by CD spectroscopy clearly demonstrate that at pH 7.4 peptide E does not form a coiled coil (triangles, Figure 9a). Although peptide E does not form a coiled coil in a 250μM solution at pH 7.4, the CD curve of peptide B shows two minima at 208nm and 222nm, respectively, which are characteristic of an α-helical coiled coil fold (circles, Figure 9a). The mixture of peptide E and peptide B in a ratio of 1:1 suggests some formation of a heterodimeric α-helical coiled coil (solid squares, Figure 9a). The CD spectrum of the mixture is not simply the sum of the spectra of the B and E peptides in isolation. The diamonds in Figure 9a correspond to the sum of the experimental curves for the isolated B and E peptides corrected for concentration. Although the curves are similar, they deviate sharply at low wavelengths. The measured and the calculated spectra also differ in the ratio of the local minima at 208nm and 222nm ([θ]222/[θ]208=0.72 for addition of single spectra, [θ]222/[θ]208=0.76 for the measured spectra of the B+E mixture), indicating an increase in helical content. In addition, thermal unfolding profiles of the B peptide and the BE mixture were recorded (Figure 9b). Different curves and different melting temperatures of TM=58.3°C (BE mixture) and TM=60.3°C (B peptide) show that the BB homodimer is not the sole α-helical structure in the BE mixture. Rather peptide B as either a monomer or higher aggregate is able to act as a template for peptide E and possibly induce a transformation from random coil to a helical structure.
To test this and the basic design hypothesis, six simulations of heterodimeric B+E coiled coils were performed. The starting configurations varied slightly between the simulations as can be appreciated from Table 1 and Fig. 10. Two of the antiparallel heterodimeric B+E coiled coils maintained their initial structure during 10ns, demonstrating that although a helical peptide E is not stable in isolation the heterodimeric B+E coiled coil is stable in the simulations and might account for the experimental results. In Fig. 10 the initial and final structures of the trajectories corresponding to an antiparallel orientation of the helices are shown. In all cases where the starting orientation was parallel, no coiled coils were obtained. After 10ns the structure of peptide E was effectively random. These results suggest that antiparallel B+E heterodimers are more stable than parallel dimers. It should be noted, however, that in general a wide variety of structures could give rise to the CD signal observed experimentally. These include structures such as that shown in Figure 3f, which have significant α-helical content as well as the possibility of trimers or higher order oligomers.
To investigate the possible stability of trimers, conformations consisting of bundles of three B peptides in a parallel and an antiparallel orientation were constructed and simulated for 10ns. The trajectories starting from antiparallel and parallel arrangements were labeled 3aB1–3aB3 and 3pB1–3pB3, respectively. Three simulations were performed starting from a parallel orientation. In all cases the trimer disassociated, leaving a coiled coil consisting of no more than two helices. In contrast, in two of the three antiparallel cases the trimeric coiled coil remained stable. Although it was not possible to obtain a stable parallel trimer, α-helical parallel dimers similar to that seen in pB1 (Figure 3e) were observed in 3pB1 and 3pB3. Nevertheless, the results still strongly suggest a preference for an antiparallel arrangement. Figure 11ab, shows two views of the trimer formed in trajectory 3aB3. The side chains of the leucines of each helix are shown in different colors to highlight the packing of the hydrophobic core.
Simulations were also performed with bundles of four helices. The trajectories starting from antiparallel and parallel arrangements were labeled 4aB1–4aB4 and 4pB1–4pB4, respectively. In Figure 11ce, the last structures corresponding to trajectories 4aB1, 4aB4, and 4pB4 are shown. For each helix the side chains of the leucines are highlighted in different colors. Only in trajectory 4aB4 did an antiparallel tetrameric coiled coil form and remain stable. No parallel tetrameric coiled coils were observed. Some dimeric coiled coils were obtained starting from the parallel tetramer, as for instance the ones shown in Figure 11e, and one antiparallel trimer interacting loosely with the final monomer was obtained from 4aB1. The antiparallel tetramer obtained from trajectory 4aB4 was very stable during the 10ns the RMSD remaining almost constant over the whole trajectory (data not shown). This suggests that coiled coils consisting of four α-helices in an antiparallel orientation may exist in equilibrium with other structures, including antiparallel trimers and parallel or antiparallel dimers. The interaction between the dipole moments of the helices appears to prevent the formation of parallel coiled coils consisting of more than two helices for these peptides. As noted earlier, there was a danger that interactions between the total dipole of the systems due to the imposition of periodic boundary conditions could have artificially favored parallel orientations. Although this clearly proved not to be the case, as this effect was potentially larger in the case of the tetrameric systems, larger box dimensions were used in this case as a precautionary measure.
This study had three aims: i), to simulate the spontaneous formation of coiled coils, ii), to characterize the arrangement of the residues in stable dimeric parallel and antiparallel coiled coils, and iii), to determine if it is possible to discriminate between different stoichiometries/orientations.
In summary, despite the apparent strong tendency of the B peptide to form a coiled coil in solution it was not possible to simulate the spontaneous formation of a coiled coil on a nanosecond timescale unless the starting structure was very close to the target structure. Nevertheless, it was possible to distinguish between alternative orientations and stoichiometries using relatively short simulation times. This suggests MD simulations could have an important role to play in elucidating the properties of this widespread structural motif.
We thank Prof. Stephan Berger from the University of Leipzig for stimulating discussions.
Financial support from the VolkswagenStiftung (project No. I/77 986) and European Community Training and Mobility of Researchers (project No. HRPN-CT-2002-00241) is gratefully acknowledged.
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