| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Center for Biophysical Modeling and Simulation and Department of Chemistry, University of Utah, Salt Lake City, Utah
Correspondence: Address reprint requests to G. A. Voth, Tel.: 801-581-7272; E-mail: voth{at}chem.utah.edu.
| ABSTRACT |
|---|
|
|
|---|
-helical linker was constructed by employing periodic boundary conditions, allowing a novel scheme for evaluating the thermodynamic force as a function of extension. By measuring the force-extension response under small extensions, spectrin was observed to behave primarily as an elastic material with a spring constant of 1700 ± 100 pN/nm. The implications of this spring constant, in terms of the properties of the spectrin tetramer, are also discussed. | INTRODUCTION |
|---|
|
|
|---|
200 nm) rodlike multidomain proteins called spectrin. The organization of the spectrin cytoskeleton spans several distinct time- and length-scales, ranging from the atomistic description of the individual domains of spectrin to the nearly continuum-level description of the entire cell. This article is concerned with the calculation of material properties of spectrin at the atomistic scale that can be used to understand properties of the larger-scale structures composing the erythrocyte.
Spectrin is a tetrameric protein that is formed by the head-to-head association of two heterodimers (2
,3
). Each heterodimer is composed of antiparallel
- and ß-subunits that form a right-handed double-helix (4
). These subunits are further divided into
20 (for the
-spectrin monomer) and
17 (for the ß-spectrin monomer) covalently-linked spectrin repeat units. Although the repeat units do not exhibit strict sequence homology, each unit is
106 residues in length and is folded into three
-helices (A, B, and C) arranged in an antiparallel coiled coil. Based on crystallographic measurements, helices A and C are thought to compose a contiguous
-helix that forms the linker region between the repeat units (5
10
).
Although it seems clear that the erythrocyte derives its shape and resilience from the spectrin cytoskeleton (1
), the relationship between the structure and function of spectrin on the atomistic scale (9
14
), the scale of the tetramer (2
,4
,15
17
), and the scale of the network (18
22
) are still subjects of important research. Our approach to studying these relationships is to build a simulation methodology that spans the multiple time- and length-scales inherent in the construction of the erythrocyte. This article presents simulations characterizing the elastic properties of a spectrin repeat unit, which can be thought of as the basic building block of the erythrocyte cytoskeleton. The information obtained at this scale will aid in understanding the material properties of the spectrin network at larger scales, in particular that of the spectrin tetramer.
The origin of the elasticity of the spectrin tetramer has been the subject of considerable debate. Electron micrographs of spectrin in vitro (2
,15
) and viscometry studies of the spectrin dimer (23
) suggested that spectrin was quite flexible, and could be treated as an entropic polymer. This flexibility has been thought to be a consequence of hingelike functionality of a nonhelical linker connecting repeat units (24
). However, as discussed above, recent x-ray crystal structures of multiple-repeat spectrins indicate that the linker likely forms a contiguous
-helix, suggesting that the linker may not be as flexible as originally perceived. Furthermore, electron micrographs of partially expanded membrane skeletons suggested that the tetramer forms a rigid double-helix (4
). With this type of structure, the elasticity of the tetramer has been proposed to be dependent more on energetic contributions derived from changes in the helical pitch and diameter of the double-helix (4
,25
).
More recently, the material properties of spectrin monomers have been studied using atomic force microscopy (AFM) (26
30
) to measure a force-extension curve. These experiments show a force-extension curve with a characteristic sawtooth pattern. The peaks in the sawtooth pattern have been attributed to the force required to rupture the individual repeating domains. However, in the absence of external forces, the end-to-end distance of a spectrin tetramer in the cytoskeleton is only approximately one-third or less of its total contour length (16
,17
,19
,20
). Rupturing a domain using AFM involves stretching the end-to-end length of spectrin up to, and beyond, its full (folded) contour length. The physiological significance of spectrin's force response under such extreme extensions is not clear, nor is it known if the rupture behavior plays any role in governing the shape or elasticity of the erythrocyte.
Furthermore, the spectrin AFM experiments have not resolved changes in extension to <
1 nm. Rief et al. (26
) were able to fit a spectrin AFM force-extension curve to a two-level model of unfolding and estimated that a spectrin repeat unit needs to be extended only by
1.5 nm before rupture occurs and the unit unfolds. This suggests that the AFM experiments are missing information on the prerupture force response of a spectrin repeat unit that may be critical for understanding its function in a biological system.
Molecular dynamics (MD) simulation can complement the experimental studies by providing more detailed atomistic structural information and can also probe force-extension relationships with resolution <<1 nm. Previous MD simulations of a single isolated (i.e., no linker) spectrin repeat unit (12
,13
) primarily focused on calculating the force-extension curve under extensions large enough to make comparisons with AFM experiments. This study takes a different approach by examining the force response of a spectrin repeat unit under small extensions. Here, a spectrin repeat unit was extended, and the force response measured, using a method called cyclic expansion nonequilibrium molecular dynamics (NEMD) (31
36
). This method facilitates the use of boundary conditions to attach the spectrin repeat unit to its periodic image. These boundary conditions allow for simulation of an intact
-helical linker region, without any noncontiguous helical ends (a distinction that will be addressed in more detail in the companion article (37
)). As mentioned above, the force response at small extensions may be more relevant for understanding spectrin under physiological conditions. The small-extension force response will be shown to provide some important details about the nature of the elasticity of the tetramer. Nevertheless, the AFM experiments do provide critical insight into the relationship between the structure of a protein and its response to applied forces. The companion article (37
) expands on this work by subjecting the spectrin repeat unit to larger extensions and examining the role of the linker in the rupture process observed by AFM experiments.
| METHODS |
|---|
|
|
|---|
The starting structure for all simulations was based on the solution NMR structure of the 16th repeat of chicken-brain
-spectrin (11
) (Protein Data Bank ID 1AJ3). Residues 19 and 108110 were not resolved in the NMR experiment and were added to the structure using the Swiss-PDBViewer (43
). Multiple-repeat crystal structures of various spectrins (5
10
) indicate that repeat units are typically linked by a contiguous
-helical linker. To account for these observations, the missing residues were constructed to adopt
-helical conformations, and the ends of the spectrin repeat unit (residues 1 and 110) were covalently attached by a peptide bond through the periodic boundary conditions along the z axis of the simulation cell. The boundary conditions thus serve as a means by which a periodically replicated system of linked spectrin repeat units can be simulated. The resulting structure was solvated with 2194 water molecules and equilibrated under zero pressure in a constant NPT ensemble for 10 ns. For the last 8 ns, the average length of the box in the z direction was 5.57 nm with a standard deviation of 0.052 nm; in the x and y directions, the average length was 3.76 nm with a standard deviation of 0.020 nm. The total charge of the molecule was 1, so a sodium cation was added to the system to maintain neutrality. The average
-carbon root-mean-squared deviation from the NMR structure was 2.6 Å, indicating that the structure was fairly stable. Configuration snapshots from this equilibration were used as starting points for the NEMD trajectories as described below. The water oxygen radial distribution function and diffusion constant were in agreement with simulations of pure water, indicating that finite size effects originating from the solvent were minimal.
Cyclic expansion NEMD
Cyclic expansion NEMD was used to calculate the force-extension behavior of a spectrin repeat unit. The method has been successfully applied to the study of the viscous properties of simple fluids (31
,32
) and the elastic properties of lipid bilayers (33
,34
,35
,36
). Cyclic expansion NEMD can be used to determine the primary material behavior (e.g., viscous or elastic) of the system under study by measuring the phase relationship between the extension rate and force response. The form of the method used here is largely due to Ayton et al. (35
), with some minor modifications to account for the differences in the system studied.
In a cyclic expansion NEMD experiment, the system is subject to an oscillating strain rate given by
![]() | (1) |
is the amplitude of oscillation and
is the frequency (
= 2
/
is the period). This strain rate is applied along the z direction of the box by scaling the dimensions of the simulation cell at each step by
![]() | (2) |
![]() | (3) |
is the extension rate or pulling speed. Although Lz is scaled in a predetermined fashion via Eq. 1, the x and y directions are scaled so as to maintain zero x and y stress and therefore constant volume, on average. This is accomplished through the use of a Hoover barostat term (44
which has the equation of motion
![]() | (4) |

is the 
component of the instantaneous pressure tensor, N is number of atoms,
P is the barostat relaxation time, T is the temperature, and kB is Boltzmann's constant.
With the exception of the strain rate term of Eq. 1, the equations of motion for the particles of the system experiencing cyclic expansion are identical to those used in the Nosé-Hoover constant NPT algorithm (46
). The atom positions ri and momenta pi are governed by
![]() | (5) |
![]() | (6) |
and
induce a flow field, making the momenta pi peculiar (47
keeps the temperature of the system constant by removing or adding heat and evolves according to
![]() | (7) |
![]() | (8) |
T is the thermostat relaxation time.
Initial positions and velocities for the NEMD simulations were obtained from configurations sampled along the equilibration trajectory. The equilibration was performed by integrating the equations of motion under an NPT ensemble where the barostat for the z direction was independent of the x and y directions (i.e., using Eqs. 5 and 6 with
given by an expression similar to Eq. 4). This resulted in starting configurations with a distribution of initial lengths L that come from an NPT ensemble.
Cyclic expansion NEMD simulations were performed using strain rate periods of 500, 1000, 1500, 2000, 2500, 3000, 3500, and 4000 ps. Twelve starting configurations were used for the 500- and 1000-ps period simulations, seven for the 1500- and 2000-ps period simulations, and four for the rest. For all simulations, the strain rate amplitude
was set to 0.02 (giving a maximum strain of 0.04). A full NEMD cycle involves extending the system to maximum strain and then contracting it back down to its initial length. The extension part of the cycle was calculated for all of the above strain rate periods, but the contraction half of the cycle was only calculated for 500-, 1000-, 2000-, and 4000-ps strain-rate periods, using four starting configurations each.
| THEORY: FORCE AND FREE ENERGY |
|---|
|
|
|---|
Two computational methods which are commonly used to measure force-extension relationships in proteins are steered molecular dynamics (48
50
) and biased unfolding (12
,51
). In steered MD, one end of the molecule is fixed, and the other is subject to a harmonic potential that moves at some given velocity. Biased unfolding also uses a potential to constrain the length of the molecule, but the potential only moves when fluctuations increase the length. Both of these methods use the analogy of an AFM experiment to define a force by adding an extra potential to the system and measuring the displacement of the reaction coordinate along that potential. They have proven to be remarkably useful in describing the molecular origin of the peaks in the AFM force-extension curves for the muscle elasticity protein titin (50
54
). However, in the case where the spectrin repeat unit is attached to its periodic image, these methods cannot be applied since there are no ends to attach to the restraining potential.
The force that can be measured using cyclic expansion NEMD arises solely from molecular interactions (there is no added external potential) and is defined as minus the derivative of the free energy with respect to length under isothermal conditions,
![]() | (9) |

0 limit). It can be shown (see Supplementary Material) that by using the NEMD equations of motion, the free energy derivative of Eq. 9 can be expressed as
![]() | (10) |
Equation 10 motivates the definition of a finite frequency, or nonequilibrium, force, F
(L) =
PzzV
/L. This force F
(L) contains contributions from the irreversible work done on the system, at a finite frequency
, and is in fact equal to minus the derivative of the work with respect to the length. The equilibrium free energy derivative, Eq. 9, is only obtained in the zero frequency limit. The effective spring constant is similarly defined as k0 = lim
0 k
, and is measured by calculating the slope of the force-extension curve for each trajectory at a particular frequency, averaging over multiple starting configurations, and extrapolating to zero frequency.
| RESULTS |
|---|
|
|
|---|
-helical linker. The periodic boundary conditions employed conveniently allow modeling of the linker region connecting two repeat units with the computational cost of simulating one repeat unit. This situation thus models an infinitely long chain of attached repeat units. Of course, with a real multiple-repeat spectrin molecule, the repeat units can be bent or twisted relative to one another (see (6
Many dynamical properties of a system can be obtained from an equilibrium simulation. A property of primary concern to this study is the measurement of an effective spring-constant for the spectrin repeat unit. The equilibrium trajectory (used to generate starting configurations for the NEMD simulations) was integrated under a constant NPT ensemble where the length of the box in the z direction was allowed to fluctuate independently of the other directions. The equipartition theorem states that the average thermal energy associated with each degree of freedom is kBT/2, where kB is Boltzmann's constant and T is the thermodynamic temperature. If the equilibrium energy of the repeat unit follows Hooke's law, then the effective spring constant can be calculated, according to the equipartition theorem, by measuring the fluctuations in the length of the box via
where
L is the standard deviation of length of the box in the z direction. Over the course of the last 8 ns of the equilibration trajectory, the average length was measured to be 5.57 nm with a standard deviation of 0.052 nm, giving a spring constant of 1530 pN/nm. This value is close to that obtained using the NEMD methods described later; however, since this method requires the entire equilibrium simulation to calculate
L, an estimate of the error in k is not readily available. The only way to assess the accuracy of
L is to calculate it as a function of time steps and see whether it converges to some value. Even after 8 ns of equilibration,
L did not appear fully converged (data not shown), suggesting that a significantly longer equilibrium trajectory would be necessary to measure a statistically precise value for k.
NEMD control: water
Cyclic expansion NEMD simulations are usually discussed in terms of the system's stress response to an applied strain. However, a spectrin repeat unit is by no means homogeneous along the direction of the applied strain. This makes the definition of a cross-sectional area, which is required to calculate a stress, unclear. It is thus more appropriate to describe spectrin's force response to an applied extension. (Since force and stress are closely related, the terms "force" and "stress" will often be used interchangeably throughout the rest of this article.)
It is important to separate the intrinsic material response of the spectrin repeat unit from that of the solvent. To ensure that the chosen boundary conditions did not generate spurious solvent effects, cyclic expansion NEMD simulations of pure water were performed under conditions nearly identical to those used for the spectrin repeat unit simulations. As discussed in Methods, the simulation box length L is extended only in the z direction, whereas the x and y directions fluctuate under zero pressure. These conditions maintain, on average, constant volume and give rise to a change in the shape of the simulation cell. Under very slow extension rates, water will not respond with a measurable stress response to the applied strain since it is an isotropic liquid and freely adopts any container shape. On the other hand, under exceedingly high extension rates, the water molecules will not be able to adjust to the boundary condition changes quickly enough, resulting in a viscoelastic or even quasi-elastic stress response.
A simulation of 3072 water molecules was equilibrated in a simulation cell with similar dimensions to those used for the spectrin repeat unit simulations (average Lz = 6.24 ± 0.75 nm and Lx = Ly = 3.80 ± 0.23 nm). Preliminary investigations revealed that the force response of water was only detectable at very fast oscillations (with periods of
= 12 ps). To allow the box shape to adjust in response to these high strain-rates, the barostat time constant
P had to be adjusted to 0.1 ps. Strain rate periods of 1100 ps were imposed on 10 configurations taken from a 1-ns equilibration trajectory.
To get an estimate of the magnitude of the elastic and viscous forces that bulk water responds with under cyclic expansion NEMD, the water force-extension curves were fit to the function
![]() | (11) |
is a finite-frequency effective water spring constant, and 
is a finite-frequency friction coefficient. Note that the friction term,
corresponds to forces that are out of phase with the imposed extension. Fig. 1 illustrates how the elastic component k
of the water force response varies as a function of frequency (the strange dip observed at
/2
= 667 ns1 is likely a consequence of poor sampling due to the very large noise encountered at high frequencies). As expected, very high extension rates gave a measurable elastic response. However, even at frequencies 50-times faster than those used in the spectrin repeat unit NEMD simulations, no significant elastic component was detected. This ensures that when the protein is present, any measured elastic component can be attributed solely to the presence of spectrin. The fits to Eq. 11 also reveal that 
has minimal frequency dependence over this range of frequencies. The average 
was found to be 1200 ± 300 pN ps/nm. For the extension rates used in the spectrin repeat unit NEMD simulations, the force response due to water friction is expected to only account for an insignificant 12 pN.
|
![]() | (12) |
L is the displacement in the simulation box length L along the z coordinate from its equilibrium position, and k is an effective spring constant. Of course, this is not the only possible constitutive relation that could be applied to a protein like spectrin. More complex viscoelastic models exist (55
3 Å. Cyclic expansion NEMD subjects the system to a sinusoidal extension rate via Eq. 1. As opposed to a constant rate of extension, this provides us a convenient method for determining the primary material behavior of the spectrin repeat unit (i.e., whether it is viscous, elastic, or viscoelastic). When the system is extended, it responds with a force and if the force response is in phase with the extension, then the material is said to have an elastic response. If the system responds with a force that is in phase with the extension rate, then the material has a viscous response. The material may also have both viscous and elastic properties, in which case a phase-shift in the response from the ideal viscous or elastic behavior would be observed.
To confirm that Eq. 12 is an appropriate constitutive equation, the phase relationship between the force response and the imposed cyclic extension was measured. Fig. 2 shows that the force is largely in phase with the extension, indicating that under small perturbations, the spectrin unit responds elastically. This observation verifies the use of an elastic constitutive relation, as proposed in Eq. 12. Had a significant phase shift been observed, then the constitutive equation would have needed to be modified to include a viscous component.
|
= 4000 ps for both the extension and contraction trajectories. Each point on the curve is the average force within the nearby range of extensions. Error bars were calculated by treating each NEMD trajectory as an independent measurement and calculating the standard error of the mean force (i.e., the variance of the mean force is the sum of the variance of the average force from each trajectory divided by the square of the number of measurements (57
|

0 = 1700 ± 100 pN/nm, only slightly larger than the value obtained in the equilibrium simulations. It could be argued that tertiary structure rearrangements of the three helices composing the spectrin repeat unit would, on long timescales, lower the measured spring constant. If very long equilibrium MD simulations were available, this effect could manifest itself as large fluctuations in the length of spectrin, lowering the measured effective spring constant. However, any equilibrium tertiary structure rearrangements that persisted over long timescales would likely result in more disordered crystal structures (6
|

0 = 1800 ± 300 pN/nm) agrees well with the value for extension. | DISCUSSION |
|---|
|
|
|---|
-helical linker (12
100 pN/nmapproximately an order-of-magnitude smaller than that reported here. This demonstrates that the contiguous
-helical structure of the linker dramatically affects the material properties of the spectrin repeat unit, making it more resistant to external forces. The origin of this effect likely has to do with the network of hydrogen bonds that maintain
-helices. A contiguous
-helical linker is able to form more backbone hydrogen bonds than a ruptured, or nonhelical, linker. With more hydrogen bonds, the contiguous
-helix would be able to withstand stronger forces. These and related issues, such as the recent double-repeat MD simulations of Ortiz et al. (14When comparing these simulations with experimental results, the effects of the boundary conditions must be carefully considered. The periodic system generated by attaching a spectrin repeat unit to its periodic image corresponds to a highly-stretched multiple-repeat spectrin molecule, where all of the bending interactions between repeat units are absent. The benefits to such a construction is that it allowed for measurement of a spring constant for a spectrin repeat unit that is isolated from any interrepeat bending motions. Experiments to date have only been able to measure force-extension relationships of spectrins consisting of several attached repeat units. In an experiment, the repeat units are able to bend as well as stretch when spectrin is extended. This complicates determining what aspects of the spectrin repeat unit play a role in governing the elasticity of a multiple-repeat spectrin (i.e., bending, stretching, twisting, etc.). In these simulations, the small system size actually provides an advantage over using a larger system consisting of many repeat units, since a larger system would suffer some of the same problems as encountered experimentally. These specially constructed NEMD simulations thus provide unique and valuable information about the elasticity of spectrin that complement the results available from current experiments.
Although no direct experimental measurements of the spring constant of a spectrin repeat unit are available, some comparison with experimental measurements of a different but related system can still provide some insight. AFM experiments (58
) estimate that the Young's modulus of the
-helical polypeptide poly-L-glutamic acid is
3 x 103 pN/nm2, in good agreement with earlier theoretical estimates of polyglycine and poly-L-alanine (59
). The elastic response of a spectrin repeat unit will come primarily from the weakest region, which is expected to be the
-helical linker since it is not part of the heptad repeat pattern (6
,9
). Assuming that the above AFM measurements of poly-L-glutamic acid represent a typical Young's modulus for an
-helix, the five-residue, 0.75-nm-long linker would be expected to give a spring constant of
500 pN/nm (assuming a cross-sectional radius of
0.2 nm). The discrepancy between this value and that measured for the spectrin repeat unit using NEMD is within an order of magnitude, but perhaps suggests that interactions with adjacent helices impart extra stabilization on the linker. Another possible reason for the discrepancy could be due to the presence of bending modes in the poly-L-glutamic acid AFM experiments. Part of the force response measured by AFM is likely due to straightening the bending modes, and not stretching the helix, which would lower the measured spring constant. But since bending modes would not be as prevalent over only five residues, the effective spring constant at this length scale could be larger.
Optical tweezer micromanipulation experiments of freshly extracted spectrin skeletons have estimated (21
,60
) that the spring-constant of the mesoscopic spectrin tetramer is on the order of 0.01 pN/nm. Suppose that the spectrin tetramer could be treated as just a set of two elastic strands in parallel, where each strand is composed of 40 ideal springs in series, and each spring corresponds to a spectrin repeat unit. Using the repeat unit spring constant of k = 1700 pN/nm would result in a spring constant for the tetramer that is almost four orders-of-magnitude larger than that estimated by the experiments described above. This large discrepancy clearly demonstrates that the elasticity of the tetramer cannot be derived from simple linear extension of a series of individual repeat units, but that extra degrees of freedom, such as bending, twisting, or other mesoscale motions, must play an important role.
| CONCLUSIONS |
|---|
|
|
|---|
-helical linker. This allowed for observation of the stretching contributions to the elasticity, decoupled from the bending contributions, while maintaining the physiological importance of including the linker. Using this method, it was determined that a spectrin repeat unit under these conditions responds elastically to an applied extension. A quantitative estimate of an effective spring constant for the spectrin repeat unit was obtained and found to be 1700 ± 100 pN/nm. By comparison with previous simulations, this result shows that the contiguous
-helical linker significantly strengthens the spectrin repeat unit. Furthermore, the magnitude of this value suggests that bending or twisting interactions must play an important role in governing the elasticity of the spectrin tetramer at higher length scales. | SUPPLEMENTARY MATERIAL |
|---|
|
|
|---|
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
Submitted on May 19, 2005; accepted for publication September 30, 2005.
| REFERENCES |
|---|
|
|
|---|
2. Shotton, D. M., B. E. Burke, and D. Branton. 1979. The molecular structure of human erythrocyte spectrin: biophysical and electron microscopic studies. J. Mol. Biol. 131:303329.[CrossRef][Medline]
3. Speicher, D. W., T. M. DeSilva, K. D. Speicher, J. A. Ursitti, P. Hembach, and L. Weglarz. 1993. Location of the human red cell spectrin tetramer binding site and detection of a related "closed" hairpin loop dimer using proteolytic footprinting. J. Biol. Chem. 268:42274235.
4. McGough, A. M., and R. Josephs. 1990. On the structure of erythrocyte spectrin in partially expanded membrane skeletons. Proc. Natl. Acad. Sci. USA. 87:52085212.
5. Yan, Y., E. Winograd, A. Viel, T. Cronin, S. C. Harrison, and D. Branton. 1993. Crystal structure of the repetitive segments of spectrin. Science. 262:20272030.
6. Grum, V. L., D. Li, R. I. MacDonald, and A. Mondragón. 1999. Structures of two repeats of spectrin suggest models of flexibility. Cell. 98:523535.[CrossRef][Medline]
7. Djinovi
-Carugo, K., P. Young, M. Gautel, and M. Saraste. 1999. Structure of the
-actinin rod: molecular basis for cross-linking of actin filaments. Cell. 98:537546.[CrossRef][Medline]
8. Ylänne, J., K. Scheffzek, P. Young, and M. Saraste. 2001. Crystal structure of the
-actinin rod reveals an extensive torsional twist. Structure. 9:597604.[Medline]
9. Kusunoki, H., R. I. MacDonald, and A. Mondragón. 2004. Structural insights into the stability and flexibility of unusual erythroid spectrin repeats. Structure. 12:645656.[Medline]
10. Kusunoki, H., G. Minasov, R. I. MacDonald, and A. Mondragón. 2004. Independent movement, dimerization and stability of tandem repeats of chicken brain
-spectrin. J. Mol. Biol. 344:495511.[CrossRef][Medline]
11. Pascual, J., M. Pfuhl, D. Walther, M. Saraste, and M. Nilges. 1997. Solution structure of the spectrin repeat: a left-handed antiparallel triple-helical coiled-coil. J. Mol. Biol. 273:740751.[CrossRef][Medline]
12. Paci, E., and M. Karplus. 2000. Unfolding proteins by external forces and temperature: the importance of topology and energetics. Proc. Natl. Acad. Sci. USA. 97:65216526.
13. Altmann, S. M., R. G. Grünberg, P.-F. Lenne, J. Ylänne, A. Raae, K. Herbert, M. Saraste, M. Nilges, and J. H. Hörber. 2002. Pathways and intermediates in forced unfolding of spectrin repeats. Structure. 10:10851096.[Medline]
14. Ortiz, V., S. O. Nielsen, M. L. Klein, and D. E. Discher. 2005. Unfolding a linker between helical repeats. J. Mol. Biol. 349:638647.[CrossRef][Medline]
15. Morrow, J. S., and V. T. Marchesi. 1981. Self-assembly of spectrin oligomers in vitro: a basis for a dynamic cytoskeleton. J. Cell Biol. 88:463468.
16. Takeuchi, M., H. Miyamoto, Y. Sako, H. Komizu, and A. Kusumi. 1998. Structure of the erythrocyte membrane skeleton as observed by atomic force microscopy. Biophys. J. 74:21712183.
17. Swihart, A. H., J. M. Mikrut, J. B. Ketterson, and R. C. MacDonald. 2001. Atomic force microscopy of the erythrocyte membrane skeleton. J. Microsc. 204:212225.[Medline]
18. Waugh, R., and E. A. Evans. 1979. Thermoelasticity of red blood cell membrane. Biophys. J. 26:115132.
19. Byers, T. J., and D. Branton. 1985. Visualization of the protein associations in the erythrocyte membrane skeleton. Proc. Natl. Acad. Sci. USA. 82:61536157.
20. Liu, S.-C., L. H. Derick, and J. Palek. 1987. Visualization of the hexagonal lattice in the erythrocyte membrane skeleton. J. Cell Biol. 104:527536.
21. Lenormand, G., S. Hénon, A. Richert, J. Siméon, and F. Gallet. 2001. Direct measurement of the area expansion and shear moduli of the human red blood cell membrane skeleton. Biophys. J. 81:4356.
22. Lee, J. C.-M., and D. E. Discher. 2001. Deformation-enhanced fluctuations in the red cell skeleton with theoretical relations to elasticity, connectivity, and spectrin unfolding. Biophys. J. 81:31783192.
23. Stokke, B. T., A. Mikkelson, and A. Elgsaeter. 1985. Human erythrocyte spectrin dimer intrinsic viscosity: temperature dependence and implications of the molecular basis of the erythrocyte membrane free energy. Biochim. Biophys. Acta. 816:102110.[Medline]
24. Speicher, D. W., and V. T. Marchesi. 1984. Erythrocyte spectrin is comprised of many homologous triple helical segments. Nature. 311:177178.[CrossRef][Medline]
25. Hansen, J. C., R. Skalak, S. Chien, and A. Hoger. 1997. Spectrin properties and the elasticity of the red blood cell membrane skeleton. Biorheology. 34:327348.[CrossRef][Medline]
26. Rief, M., J. Pascual, M. Saraste, and H. E. Gaub. 1999. Single molecule force spectroscopy of spectrin repeats: low unfolding forces in helix bundles. J. Mol. Biol. 286:553561.[CrossRef][Medline]
27. Lenne, P.-F., A. J. Raae, S. M. Altmann, M. Saraste, and J. K. H. Hörber. 2000. States and transitions during forced unfolding of a single spectrin repeat. FEBS Lett. 476:124128.[CrossRef][Medline]
28. Lavery, R., A. Lebrun, J.-F. Allemand, D. Bensimon, and V. Croquette. 2002. Structure and mechanics of single biomolecules: experiment and simulation. J. Phys. Condens. Matter. 14:R383R414.[CrossRef]
29. Law, R., P. Carl, S. Harper, P. Dalhaimer, D. W. Speicher, and D. E. Discher. 2003. Cooperativity in forced unfolding of tandem spectrin repeats. Biophys. J. 84:533544.
30. Law, R., G. Liao, S. Harper, G. Yang, D. W. Speicher, and D. E. Discher. 2003. Pathway shifts and thermal softening in temperature-coupled forced unfolding of spectrin domains. Biophys. J. 85:32863293.
31. Hoover, W. G., D. J. Evans, R. B. Hickman, A. J. C. Ladd, W. T. Ashurst, and B. Moran. 1980. Lennard-Jones triple-point bulk and shear viscosities, Green-Kubo theory, Hamiltonian mechanics, and nonequilibrium molecular dynamics. Phys. Rev. A. 22:16901697.[CrossRef]
32. Hoover, W. G., A. J. C. Ladd, R. B. Hickman, and B. L. Holian. 1980. Bulk viscosity via nonequilibrium and equilibrium molecular dynamics. Phys. Rev. A. 21:17561760.[CrossRef]
33. Ayton, G., S. G. Bardenhagen, P. McMurtry, D. Sulsky, and G. A. Voth. 2001. Interfacing continuum and molecular dynamics: an application to lipid bilayers. J. Chem. Phys. 114:69136924.[CrossRef]
34. Ayton, G., S. G. Bardenhagen, P. McMurtry, D. Sulsky, and G. A. Voth. 2001. Interfacing molecular dynamics with continuum dynamics in computer simulation: toward an application to biological membranes. IBM J. Res. Dev. 45:417426.
35. Ayton, G., A. M. Smondyrev, S. G. Bardenhagen, P. McMurtry, and G. A. Voth. 2002. Calculating the bulk modulus for a lipid bilayer with nonequilibrium molecular dynamics simulation. Biophys. J. 82:12261238.
36. Ayton, G., A. M. Smondyrev, S. G. Bardenhagen, P. McMurtry, and G. A. Voth. 2002. Interfacing molecular dynamics and macro-scale simulations for lipid bilayer vesicles. Biophys. J. 83:10261038.
37. Paramore, S., G. S. Ayton, and G. A. Voth. 2005. Extending a spectrin repeat unit. II: Rupture behavior. Biophys. J. 90:101111.[CrossRef][Medline]
38. Smith, W., and T. Forester. 1999. The DL_POLY molecular simulation package. http://www.cse.clrc.ac.uk/msi/software/DL_POLY/.
39. Cornell, W. D., P. Cieplak, C. I. Bayly, I. R. Gould, K. M. Merz, Jr., D. M. Ferguson, D. C. Spellmeyer, T. Fox, J. W. Caldwell, and P. A. Kollman. 1995. A second generation force field for the simulation of proteins, nucleic acids, and organic molecules. J. Am. Chem. Soc. 117:51795197.[CrossRef]
40. Kollman, P. A., R. Dixon, W. Cornell, T. Fox, C. Chipot, and A. Pohorille. 1997. The development/application of a minimalist organic/biochemical molecular mechanic force field using a combination of ab initio calculations and experimental data. In Computer Simulation of Biomolecular Systems, Vol. 3. A. Wilkinson, P. Weiner, and W. F. van Gunsteren, editors. Elsevier, Dordrecht, The Netherlands. 8396.
41. Jorgensen, W. L., J. Chandrasekhar, and J. D. Madura. 1983. Comparison of simple potential functions for simulating liquid water. J. Chem. Phys. 79:926935.[CrossRef]
42. Schmitt, U. W., and G. A. Voth. 1999. The computer simulation of proton transport in water. J. Chem. Phys. 111:93619381.[CrossRef]
43. Guex, N., and M. C. Peitsch. 1997. SWISS-MODEL and the Swiss-PDBViewer: an environment for comparative protein modeling. Electrophoresis. 18:27142723.[CrossRef][Medline]
44. Hoover, W. G. 1985. Canonical dynamics: equilibrium phase-space distributions. Phys. Rev. A. 31:16951697.[CrossRef][Medline]
45. Hoover, W. G. 1986. Constant-pressure equations of motion. Phys. Rev. A. 34:24992500.[CrossRef][Medline]
46. Melchionna, S., G. Ciccotti, and B. L. Holian. 1993. Hoover NPT dynamics for systems varying in shape and size. Mol. Phys. 78:533544.[CrossRef]
47. Evans, D. J., and G. P. Morriss. 1990. Statistical Mechanics of Nonequilibrium Liquids. Academic Press, London, UK.
48. Grubmüller, H., B. Heymann, and P. Tavan. 1996. Ligand binding: molecular mechanics calculation of the streptavidin-biotin rupture force. Science. 271:997999.[Abstract]
49. Izrailev, S., S. Stepaniants, M. Balsera, Y. Oono, and K. Schulten. 1997. Molecular dynamics study of unbinding of the avidin-biotin complex. Biophys. J. 72:15681581.
50. Lu, H., and K. Schulten. 2000. The key event in force-induced unfolding of titin's immunoglobulin domains. Biophys. J. 79:5165.
51. Paci, E., and M. Karplus. 1999. Forced unfolding of fibronectin type 3 modules: an analysis by biased molecular dynamics simulations. J. Mol. Biol. 288:441459.[CrossRef][Medline]
52. Lu, H., B. Isralewitz, A. Krammer, V. Vogel, and K. Schulten. 1998. Unfolding titin immunoglobulin domains by steered molecular dynamics simulation. Biophys. J. 75:662671.
53. Lu, H., and K. Schulten. 1999. Steered molecular dynamics simulations of force-induced protein domain unfolding. Proteins. 35:453463.[CrossRef][Medline]
54. Krammer, A., H. Lu, B. Isralewitz, and V. Vogel. 1999. Forced unfolding of the fibronectin type III module reveals a tensile molecular recognition switch. Proc. Natl. Acad. Sci. USA. 96:13511356.
55. Fung, Y. C. 1993. Biomechanics: Mechanical Properties of Living Tissues. Springer-Verlag, New York.
56. Tschoegl, N. W. 1989. The Phenomenological Theory of Linear Viscoelastic Behavior. Springer-Verlag, New York.
57. Lemons, D. S. 2002. An Introduction to Stochastic Processes in Physics. The Johns Hopkins University Press, Baltimore and London.
58. Idiris, A., M. T. Alam, and A. Ikai. 2000. Spring mechanics of
-helical polypeptide. Protein Eng. 13:763770.
59. Suezaki, Y., and N. G
. 1976. Fluctuations and mechanical strength of
-helices of polyglycine and poly(L-alanine). Biopolymers. 15:21372153.[CrossRef][Medline]
60. Lenormand, G., S. Hénon, A. Richert, J. Siméon, and F. Gallet. 2003. Elasticity of the human red blood cell skeleton. Biorheology. 40:247251.[Medline]
This article has been cited by other articles:
![]() |
L. G. Randles, R. W. S. Rounsevell, and J. Clarke Spectrin Domains Lose Cooperativity in Forced Unfolding Biophys. J., January 15, 2007; 92(2): 571 - 577. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Paramore and G. A. Voth Examining the Influence of Linkers and Tertiary Structure in the Forced Unfolding of Multiple-Repeat Spectrin Molecules Biophys. J., November 1, 2006; 91(9): 3436 - 3445. [Abstract] [Full Text] [PDF] |
||||
| ||||||