| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |



* Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas;
Graduate Program of Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas; and
Department of Bioengineering, Rice University, Houston, Texas
Correspondence: Address reprint requests to Jianpeng Ma, One Baylor Plaza, BCM-125, Baylor College of Medicine, Houston, TX 77030. Tel.: 713-798-8187; Fax: 713-796-9438; E-mail: jpma{at}bcm.tmc.edu.
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
35.75 nm and contains 13 monomers (the 13-subunit repeat) and the total length of F-actin attains several microns or longer.
|
From more than two decades of computational studies (Brooks III et al., 1988
; McCammon and Harvey, 1987
), it is well-established that elastic motions of molecular complexes can be well approximated by large-scale low-frequency vibrations of the structures, which also play a dominant role in complex biomolecular dynamics in general. Powerful computational methods for studying those low-frequency vibrations include harmonic modal analyses such as normal mode analysis (NMA) (Brooks et al., 1995
), quasi-harmonic analysis (Janezic et al., 1995
), and its related version of essential dynamics (Amadei et al., 1993
). Moreover, several recently developed methods provided a broadened way of analyzing biomolecular structures. The ones most relevant to this work are the C
-based elastic network model (Atilgan et al., 2001
; Bahar et al., 1997
; Tirion, 1996
) that can calculate low-frequency modes based on a much simpler potential function (Doruker et al., 2002
; Hinsen, 1998
; Keskin et al., 2002
; Li and Cui, 2002
; Tama and Brooks III, 2002
), and the quantized elastic deformational model (QEDM) (Ming et al., 2002a
; Tama et al., 2002
) that is designed to simulate biomolecules based on only low-resolution density maps (Chacon et al., 2003
; Ming et al., 2002b
).
To extend the computational capacity in simulating vibrational motions of very long filamentous systems such as actins, we have recently developed a new method, substructure synthesis method (SSM) (Ming et al., 2003
). The essential idea is to treat a given molecular complex structure as an assemblage of substructures. The choices of substructures can be arbitrary and sometimes quite natural, for example domains, subunits, or large segments of biomolecular complexes. The motions of these substructures are first represented by a set of substructure modes obtained by methods such as NMA. Then, the entire structure is generated by linking the substructures together using a set of constraints to enforce geometric compatibility at the interfaces of adjacent substructures. The vibrational modes of the entire structure are determined from substructure modes using the Rayleigh-Ritz principle (Temple and Bickley, 1956
). For periodically repeating systems, a hierarchical synthesis scheme (HSS) can be used in combination with SSM to rapidly achieve the desired complexity. Computationally, SSM gains efficiency by avoiding the full eigenvalue problem for the entire structure and only dealing with a much more desirable problem for the substructures.
In this article, we report the application of SSM-HSS to the synthesis of the vibrational modes of F-actin filaments of 4.6 microns from the modes of a single 13-subunit repeat. Our results clearly demonstrate that SSM-HSS is an effective way to scale up the microscopic dynamic information, obtained from atomistic simulations, to a wide range of macroscopic length scale.
| METHODS |
|---|
|
|
|---|
![]() | (1) |
is the inner product of
with itself, and
is the mass distribution. Similarly, the potential energy can be given as
![]() | (2) |
According to the Rayleigh-Ritz method (Temple and Bickley, 1956
), the displacement us(P,t) can be expressed as a linear combination of space-dependent admissible vectors multiplied by time-dependent generalized coordinates,
![]() | (3) |
are admissible vectors from a complete set, which in this case are chosen to be the eigenvectors of normal modes, and
are the time-dependent generalized normal mode coordinates. Eq. 3 can be given in the matrix form
![]() | (4) |
s is a 3 x Ns matrix and
s is an Ns-dimensional vector. Inserting Eq. 4 into Eq. 1, we obtain
![]() | (5) |
![]() | (6) |
![]() | (7) |
![]() | (8) |
For a structure containing m substructures, s = 1,2,...m, that are assumed to move independently of one another, the combined kinetic energy of the assembled structure is
![]() | (9) |
![]() | (10) |
![]() | (11) |
Similarly, the combined potential energy function is
![]() | (12) |
![]() | (13) |
![]() | (14) |
d is a constant amplitude vector and
(t) is a time-dependent harmonic function, we obtain the disjoint Rayleigh quotient
![]() | (15) |
However, in the assembled structure, the substructures are connected to each other and are subject to forces exerted by neighboring substructures at boundaries. Therefore, the boundary must satisfy certain geometric compatibility conditions to preserve the structural integrity. For example, considering two adjacent substructures r and s, we must have
![]() | (16) |
as the n-dimensional vector of independent generalized coordinates, the relation between the disjoint vector
d and the vector
can be expressed as
![]() | (17) |
![]() | (18) |
![]() | (19) |
Based on the Rayleigh-Ritz principle (Temple and Bickley, 1956
), one has an eigenvalue problem,
![]() | (20) |
is the diagonal matrix of the eigenvalues for the assembled structure. Using the transformation U' =
d CU, where
d is defined in a similar way to Eq. 10 for
d, one can obtain matrix U', whose column vectors are the atomic displacements in the corresponding modes of the assembled structure, which can then be directly compared with the eigenvectors obtained from direct NMA of the assembled structure.
Hierarchical synthesis scheme (HSS)
To generate modes for extremely long F-actin filaments, it is computationally inefficient to synthesize them by sequentially adding a single repeating unit. A much more effective alternative is to use a hierarchical synthesis scheme. The essence lies in the fact that, to generate modes for an assembled structure from substructure modes, one only needs to utilize a set of low-frequency modes for substructures. This principle holds up at any length scale. For F-actin, since the filaments are periodic systems of a 13-subunit repeat (Holmes et al., 1993
), we can first fuse two 13-subunit repeats together by SSM, and then two such products can be fused in the following cycle, and so on and so forth. With this procedure, the total length of the filament Ln after n cycles of synthesis would be Ln = 2nl0, where l0 is the length of a single 13-subunit repeat (l0 = 35.75 nm). Therefore, it only takes seven synthesis cycles to approach a length of 4.6 µm, which is close to the persistence length of actin filaments (Oosawa, 1980
). This is a remarkable perspective in terms of computational efficiency. Note that if we always use the same number of lowest-frequency substructure modes, the computational cost would be the same in each cycle, regardless of the absolute length of the intermediate filaments that are used as substructures.
A word of caution regarding the errors, which do rise when only a small set of low-frequency substructure modes are used for synthesis (Ming et al., 2003
). The HSS procedure gains efficiency by keeping the computational cost the same in each cycle, but it does so at the risk of losing precision of the synthesized modes as the filament elongates and the ratio of the substructure modes to the total number of degrees of freedom decreases. It is therefore preferable to employ as many substructure modes as the computational capacity allows and their number should also be significantly larger than that of the low-frequency modes one would be interested in for the final system. From our previous study (Ming et al., 2003
), it is clear that the lowest-frequency modes are robust.
| RESULTS |
|---|
|
|
|---|
-based elastic network model (Atilgan et al., 2001
|
|
atoms) that are equivalent to those located at the boundary of the adjacent unit as boundary points. The boundary points were selected solely based on their distances to the adjacent substructure. A 5-Å distance search criterion was used which led to a total of 15 boundary points (C
atoms) (Fig. 3 b). Therefore, the substructure contains a total of 4890 points (4875 + 15). The 15 boundary points result in 3 x 15 = 45 constraints in the synthesis. The vibrational modes were synthesized for the segment using 300 and 800 substructure modes. The first verification of the synthesized modes is to see if they contain the characteristic modes illustrated in Fig. 2 d. In the very low-frequency regime, the deformational modes of F-actin filaments should be very similar to those of a homogeneous elastic rod. Fig. 4, ac, shows the first bending, twisting, and stretching modes for the assembled structure using 300 substructure modes. Here the first bending mode appears in the seventh mode (the very first vibrational mode), the first twisting mode appears in the 11th mode, and the first stretching mode appears in the 17th mode. The order of these modes in terms of their frequencies is consistent with the general theory of elasticity and the stretching mode has higher stiffness. It must be noted that the amplitudes of modes in Fig. 4, ac, are arbitrary, and the modes are primarily to show their motional directionality.
|
![]() | (21) |
Synthesis of modes for F-actin of several microns by SSM-HSS
Vibrational analysis of long F-actin filaments will provide insightful information on the spontaneously occurring thermal deformations, such as undulations, of the filaments observed in experiments (Liu and Pollack, 2002
). To demonstrate the capacity of SSM-HSS, we synthesized an F-actin filament of 4.6 µm that contains 128 13-subunit repeats. Starting from the F-actin segment composed of two 13-subunit repeats synthesized in the last section, it only took seven cycles of HSS to reach the desired length (128 = 27). This length of filament was chosen because it is close to the persistence length of F-actins reported in the literature, which varies within a range of 510 µm depending on the experimental methods used (Liu and Pollack, 2002
). Synthesis of modes for longer filaments is straightforward. Since we are only interested in the lowest-frequency modes for the assembled structure, which can be robustly synthesized from a small set of low-frequency substructure modes (Ming et al., 2003
), the synthesis was performed with 300 and 800 substructure modes for comparison purposes. We found that they are sufficient for a reasonable convergence of the synthesized modes.
The first issue in characterizing the synthesized modes is the convergence of the eigenvalues, especially as the length of the filament increases. As mentioned before, certain errors would occur for longer filaments if we use the same number of substructure modes in every synthesis cycle. Fig. 5 shows the logarithms of eigenvalues as a function of filament length using 300 and 800 substructure modes. The results are presented together with the theoretical values, which has the form of
![]() | (22) |
i is the eigenvalue of the ith mode of a particular type, L is the length of the filament, and integer p has a value of 4 for bending modes, and 2 for twisting and stretching modes. The constant C is related to the elastic constant and mass of the filament. Since in our calculation, the unit of eigenvalue is arbitrary and we are only interested in the trends of the curves so that the absolute value of C is irrelevant, we normalized the curves by setting the first point equal to each other. All three types of modes (bending, twisting, and stretching modes) were shown for their very lowest-frequency modes (Fig. 5) because these are the ones that can be most appropriately compared with the theoretical results. For all types of lowest-frequency modes, the trends of changes in the eigenvalues as the length of the filament increases followed those of the theoretical values. The lowest-frequency bending mode seems to be relatively insensitive to the number of substructure modes employed, while the twisting and stretching modes have better results when 800 substructure modes were used, as expected based on our previous study (Ming et al., 2003
|
|
| CONCLUDING DISCUSSION |
|---|
|
|
|---|
It should be noted that the effectiveness of SSM partially depends on the choice of boundary between substructures, which could be tricky in some cases. In systems such as viruses, the contact surface between subunits is so extensive that it would be hard to define the boundary points. In those cases, other methods may work more efficiently (Simonson and Perahia, 1992
; Tama and Brooks III, 2002
; Tama et al., 2000
; van Vlijmen and Karplus, 2001
). But for filamentous systems with long length and relatively small cross sections, SSM-HSS is more advantageous, especially in terms of the computational efficiency. In SSM-HSS, if one uses the same number of substructure modes and the same boundary points in each synthesis cycle, the computational cost in each cycle will stay the same, regardless of the length of the filament. Moreover, in contrast to the regular NMA, SSM-HSS per se does not need to calculate the Hessian matrix, except in the initial step of determining the substructure modes, which is a tremendous advantage in dealing with extremely large systems.
In our analysis, the comparison of the synthesized lowest-frequency modes and the theoretical results of homogeneous elastic rods was used to verify our synthesis results. There are two extreme regimes wherein the vibrational modes of F-actin filaments approach those of homogeneous elastic rods (the so-called wire modes). One is at long-length limit and the other is at lowest-end of vibrational frequency for a fixed length. Both regimes are captured by NMA in this article. However, this is by no means to indicate that the deformational motions of F-actin filaments are restricted to those modes. In fact, many modes, especially the ones for shorter F-actin filaments and at slightly higher frequency, carry rich local deformational features that are unique to actin molecules (ben-Avraham and Tirion, 1995
). Of particular interest are the modes with wavelengths close to the physical size of an individual G-actin monomer (Galkin et al., 2002
; Orlova et al., 2001
), including those that have implications in the allosteric effects of local conformational changes of a single G-actin monomer on its neighboring subunits and the cooperativity among them (Egelman, 2001
; Egelman and Orlova, 1995
). The functional implications of these local deformational modes will be discussed elsewhere.
The synthesized vibrational modes for F-actin filaments provide a theoretical basis set by which any arbitrary elastic deformation of the filaments can then be expressed as a linear combination. They also provide a means to characterize the motions of F-actin filaments at a continuously varying length scale, i.e., from the extremely localized high-frequency motions all the way to global elastic deformational motions. In a very long scale of length, the bending motions would probably dominate, while other types of deformations such as twisting and stretching are likely to be important to short-range local deformations of the filaments (Egelman et al., 1982
).
As in other cases (Brooks III et al., 1988
), NMA provides a description for harmonic motions of the molecules. However, there are certain portions of molecular deformations possessing an harmonic features. Actins are not exceptions. In this regard, the harmonic basis set from NMA can be used to determine the fraction of harmonicity in the overall deformational motions. For many proteins, especially for the large molecular complexes (Go et al., 1983
; Levitt et al., 1985
; Li and Cui, 2002
; Ma and Karplus, 1997
, 1998
; Seno and Go, 1990
; Tama and Brooks III, 2002
; Tama and Sanejouand, 2001
), this fraction is always substantial.
The primary focus of this study is on the large-scale global elastic deformational motions. Therefore, in our analysis, the effects of nucleotide binding and hydrolysis were not included. However, it is likely that the nucleotide binding state of each individual G-actin monomer may alter the rigidity of the monomer and in turn affect the elasticity of the entire filaments. This will be the focus of our future work.
It is worth pointing out that the C
-based elastic NMA (Atilgan et al., 2001
) employed in our study does not provide any physically meaningful scale of stiffness of vibrational modes because of its simplified potential function (Tirion, 1996
). However, SSM has correctly captured the relative trends of changes in eigenvalues as a function of the filament length. The absolute value of stiffness of the modes, if desired, can be scaled to a correct value using extra experimentally measured elastic constants (Dupuis et al., 1997
; Kojima et al., 1994
; Tsuda et al., 1996
).
| ACKNOWLEDGEMENTS |
|---|
|
|
|---|
J.M. gratefully acknowledges the support from the American Heart Association, the Robert A. Welch Foundation, and the National Science Foundation Career Award (No. MCB-0237796). He is also a recipient of the Award for Distinguished Young Scholars Abroad from the National Natural Science Foundation of China.
Submitted on December 11, 2002; accepted for publication February 24, 2003.
| REFERENCES |
|---|
|
|
|---|
Atilgan, A. R., S. R. Durell, R. L. Jernigan, M. C. Demirel, O. Keskin, and I. Bahar. 2001. Anisotropy of fluctuation dynamics of proteins with an elastic network model. Biophys. J. 80:505515.
Bahar, I., A. R. Atilgan, and B. Erman. 1997. Direct evaluation of thermal fluctuations in proteins using a single-parameter harmonic potential. Fold. Des. 2:173181.[Medline]
ben-Avraham, D., and M. M. Tirion. 1995. Dynamic and elastic properties of F-actin: a normal-modes analysis. Biophys. J. 68:12311245.
Brooks, B. R., D. Janezic, and M. Karplus. 1995. Harmonic analysis of large systems. I. Methodology. J. Comp. Chem. 16:15221542.
Brooks III, C. L., M. Karplus, and B. M. Pettitt. 1988. Proteins: a theoretical perspective of dynamics, structure, and thermodynamics. Adv. Chem. Phys. 71:1249.
Chacon, P., F. Tama, and W. Wriggers. 2003. Mega-dalton biomolecular motion captured from electron microscopy reconstructions. J. Mol. Biol. 326:485492.[Medline]
Chen, H., B. W. Bernstein, and J. R. Bamburg. 2000. Regulating actin-filament dynamics in vivo. TIBS. 25:1923.[Medline]
Doruker, P., R. L. Jernigan, and I. Bahar. 2002. Dynamic of large proteins through hierarchical levels of coarse-grained structures. J. Comp. Chem. 23:119127.
Dupuis, D. E., W. H. Guilford, J. Wu, and D. M. Warshaw. 1997. Actin filament mechanics in the laser trap. J. Muscle Res. Cell Motil. 18:1730.[Medline]
Egelman, E. H. 2001. Actin allostery again? Nat. Struct. Biol. 8:735736.[Medline]
Egelman, E. H., N. Francis, and D. J. DeRosier. 1982. F-actin is a helix with a random variable twist. Nature. 298:131135.[Medline]
Egelman, E. H., and A. Orlova. 1995. New insights into actin filament dynamics. Curr. Opin. Struct. Biol. 5:172180.[Medline]
Galkin, V. E., M. S. VanLoock, A. Orlova, and E. H. Egelman. 2002. A new internal mode in F-actin helps explain the remarkable evolutionary conservation of actin's sequence and structure. Curr. Biol. 12:570575.[Medline]
Go, N., T. Noguti, and T. Nishikawa. 1983. Dynamics of a small globular protein in terms of low-frequency vibrational modes. Proc. Natl. Acad. Sci. USA. 80:36963700.
Hinsen, K. 1998. Analysis of domain motions by approximate normal mode calculations. Proteins. 33:417429.[Medline]
Holmes, K. C., D. Popp, W. Gebhard, and W. Kabsch. 1990. Atomic model of the actin filament. Nature. 347:4449.[Medline]
Holmes, K. C., M. Tirion, D. Popp, M. Lorenz, W. Kabsch, and R. A. Milligan. 1993. A comparison of the atomic model of F-actin with cryo-electron micrographs of actin and decorated actin. Adv. Exp. Med. Biol. 332:1522.[Medline]
Huxley, H. E., A. Stewart, H. Sosa, and T. Irving. 1994. X-ray diffraction measurements of the extensibility of actin and myosin filaments in contracting muscle. Biophys. J. 67:24112421.
Janezic, D., R. M. Venable, and B. R. Brooks. 1995. Harmonic analysis of large systems. III. Comparison with molecular dynamics. J. Comp. Chem. 16:15541566.
Kabsch, W., H. G. Mannherz, D. Suck, E. F. Pai, and K. C. Holmes. 1990. Atomic structure of the actin: DNase I complex. Nature. 347:3744.[Medline]
Keskin, O., I. Bahar, D. Flatow, D. G. Covell, and R. L. Jernigan. 2002. Molecular mechanisms of chaperonin GroEL-GroES function. Biochemistry. 41:491501.[Medline]
Kojima, H., A. Ishijima, and T. Yanagida. 1994. Direct measurement of stiffness of single actin filaments with and without tropomyosin by in vitro nanomanipulation. Proc. Natl. Acad. Sci. USA. 91:1296212966.
Kraulis, P. J. 1991. MOLSCRIPT: A program to produce both detailed and schematic plots of protein structures. J. Appl. Crystallogr. 24:946950.
Levitt, M., C. Sander, and P. S. Stern. 1985. Protein normal-mode dynamics: trypsin inhibitor, crambin, ribonuclease and lysozyme. J. Mol. Biol. 181:423447.[Medline]
Li, G., and Q. Cui. 2002. A coarse-grained normal mode approach for macromolecules: an efficient implementation and application to Ca2+-ATPase. Biophys. J. 83:24572474.
Liu, X., and G. H. Pollack. 2002. Mechanics of F-actin characterized with microfabricated cantilevers. Biophys. J. 83:27052715.
Lorenz, M., K. J. Poole, D. Popp, G. Rosenbaum, and K. C. Holmes. 1995. An atomic model of the unregulated thin filament obtained by x-ray fiber diffraction on oriented actin-tropomyosin gels. J. Mol. Biol. 246:108119.[Medline]
Lorenz, M., D. Popp, and K. C. Holmes. 1993. Refinement of the F-actin model against x-ray fiber diffraction data by the use of a directed mutation algorithm. J. Mol. Biol. 234:826836.[Medline]
Ma, J., and M. Karplus. 1997. Ligand-induced conformational changes in ras p21: a normal mode and energy minimization analysis. J. Mol. Biol. 274:114131.[Medline]
Ma, J., and M. Karplus. 1998. The allosteric mechanism of the chaperonin GroEL: a dynamic analysis. Proc. Natl. Acad. Sci. USA. 95:85028507.
McCammon, J. A., and S. Harvey. 1987. Dynamics of Proteins and Nucleic Acids. Cambridge University Press, Cambridge, UK.
McLaughlin, P. J., J. T. Gooch, H. G. Mannherz, and A. G. Weeds. 1993. Structure of gelsolin segment 1-actin complex and the mechanism of filament severing. Nature. 364:685692.[Medline]
Meirovitch, L. 1967. Analytical Methods in Vibrations. The Macmillan Company, London, UK.
Meirovitch, L. 1980. Computational Methods in Structural Dynamics. Sijthoff & Noordhoff, Rockville, MD.
Ming, D., Y. Kong, M. Lambert, Z. Huang, and J. Ma. 2002a. How to describe protein motion without amino-acid sequence and atomic coordinates. Proc. Natl. Acad. Sci. USA. 99:86208625.
Ming, D., Y. Kong, S. J. Wakil, J. Brink, and J. Ma. 2002b. Domain movements in human fatty acid synthase by quantized elastic deformational model. Proc. Natl. Acad. Sci. USA. 99:78957899.
Ming, D., Y. Kong, Y. Wu, and J. Ma. 2003. Substructure synthesis method for simulating large molecular complexes. Proc. Natl. Acad. Sci. USA. 100:104109.
Oda, T., K. Makino, I. Yamashita, K. Namba, and Y. Maeda. 2001. Distinct structural changes detected by x-ray fiber diffraction in stabilization of F-actin by lowering pH and increasing ionic strength. Biophys. J. 80:841851.
Oosawa, F. 1980. The flexibility of F-actin. Biophys. Chem. 11:443446.[Medline]
Orlova, A., V. E. Galkin, M. S. VanLoock, E. Kim, A. Shvetsov, E. Reisler, and E. H. Egelman. 2001. Probing the structure of F-actin: cross-links constrain atomic models and modify actin dynamics. J. Mol. Biol. 312:95106.[Medline]
Otterbein, L. R., P. Graceffa, and R. Dominguez. 2001. The crystal structure of uncomplexed actin in the ADP state. Science. 293:708711.
Robinson, R. C., M. Mejillano, V. P. Le, L. D. Burtnick, H. L. Yin, and S. Choe. 1999. Domain movement in gelsolin: a calcium-activated switch. Science. 286:19391942.
Schutt, C. E., J. C. Myslik, M. D. Rozycki, N. C. Goonesekere, and U. Lindberg. 1993. The structure of crystalline profilin-ß-actin. Nature. 365:810816.[Medline]
Seno, Y., and N. Go. 1990. Deoxymyoglobin studied by the conformational normal mode analysis. II. The conformational change upon oxygenation. J. Mol. Biol. 216:111126.[Medline]
Simonson, T., and D. Perahia. 1992. Normal modes of symmetric protein assemblies. Application to the tobacco mosaic virus protein disk. Biophys. J. 61:410427.
Tama, F., and C. L. Brooks III. 2002. The mechanism and pathway of pH-induced swelling in Cowpea Chlorotic Mottle virus. J. Mol. Biol. 318:733747.[Medline]
Tama, F., F. X. Gadea, O. Marques, and Y. H. Sanejouand. 2000. Building-block approach for determining low-frequency normal modes of macromolecules. Proteins. 41:17.[Medline]
Tama, F., and Y. H. Sanejouand. 2001. Conformational change of proteins arising from normal mode calculations. Protein Eng. 14:16.
Tama, F., W. Wriggers, and C. L. Brooks. 2002. Exploring global distortions of biological macromolecules and assemblies from low-resolution structural information and elastic network theory. J. Mol. Biol. 321:297305.[Medline]
Temple, G., and W. G. Bickley. 1956. Rayleigh's Principle and Its Applications to Engineering. Dover, New York.
Tirion, M. M. 1996. Large amplitude elastic motions in proteins from a single-parameter, atomic analysis. Phys. Rev. Lett. 77:19051908.[Medline]
Tirion, M. M., D. ben-Avraham, M. Lorenz, and K. C. Holmes. 1995. Normal modes as refinement parameters for the F-actin model. Biophys. J. 681:512.
Tsuda, Y., H. Yasutake, A. Ishijima, and T. Yanagida. 1996. Torsional rigidity of single actin filaments and actin-actin bond breaking force under torsion measured directly by in vitro micromanipulation. Proc. Natl. Acad. Sci. USA. 93:1293712942.
van Vlijmen, H. W. T., and M. Karplus. 2001. Normal mode analysis of large systems with icosahedral symmetry: application to Dialanine60 in full and reduced basis set implementations. J. Chem. Phys. 115:691698.
Wakabayashi, K., Y. Sugimoto, H. Tanaka, Y. Ueno, Y. Takezawa, and Y. Amemiya. 1994. X-ray diffraction evidence for the extensibility of actin and myosin filaments during muscle contraction. Biophys. J. 67:24222435.
Yasuda, R., H. Miyata, and K. Kinosita, Jr. 1996. Direct measurement of the torsional rigidity of single actin filaments. J. Mol. Biol. 263:227236.[Medline]
This article has been cited by other articles:
![]() |
L. Yang, D. Sept, and A. E. Carlsson Energetics and Dynamics of Constrained Actin Filament Bundling Biophys. J., June 15, 2006; 90(12): 4295 - 4304. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Lu and J. Ma The Role of Shape in Determining Molecular Motions Biophys. J., October 1, 2005; 89(4): 2395 - 2401. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Wu and J. Ma Refinement of F-Actin Model against Fiber Diffraction Data by Long-Range Normal Modes Biophys. J., January 1, 2004; 86(1): 116 - 124. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |