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Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
Correspondence: Address reprint requests to Ivet Bahar, Dept. of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213. E-mail: bahar{at}ccbb.pitt.edu.
| ABSTRACT |
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| INTRODUCTION |
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Membrane proteins are typically composed of three domains: the extracellular (EC) domain exposed to the periplasm, the intracellular/cytoplasmic (CP) domain buried in the cytoplasm, and the transmembrane (TM) domain embedded in the lipid bilayer. The TM domain is composed of a bundle of helices, contributed by four identical monomers in potassium (K+) channels, which encloses a pore, or a channel, through which ions are conducted. The pore regions of most K+ channels are considered to have similar structural characteristics: a narrow selectivity filter at the EC side, followed by a large cavity in the middle, and ending in a long gating region that connects to the CP region.
Potassium channels are
104 times more selective to K+ ions than to Na+ ions (3
). This propensity for K+ is attributed to the selectivity filter residues (GYG) also known as the "signature sequence" conserved in both eukaryotic and prokaryotic K+ channels (3
). One of the fundamental questions associated with the gating of K+ channels is the location of the activation gate and the molecular conformational changes that ensure a reversible opening/occlusion of the pore.
The bacterial K+ channel from Streptomyces lividans (KcsA) is the first K+ channel crystallized and structurally determined (3
). Since then, several more K+ channel structures have been determined, all tetramers like KcsA, albeit in different conformations and with different structural topologies, including MthK (4
), KirBac 1.1 (5
), KvAP (6
), and Shaker (7
). The crystal structures of MthK and KvAP are considered to be in the "open" form, whereas those of KcsA and KirBac are "closed". The organisms, resolutions, and Protein Data Bank (PDB) (8
) identifiers associated with these five structures are listed in Table 1, along with the size of their monomers and the residue numbers corresponding to the signature sequence GYG in each case.
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Although these structural and spectroscopic studies provide insightful details on the channel-pore interactions, the precise conformational changes that accompany the opening/closing of the channel during gating and their molecular basis remain elusive. The increasing experimental data on K+ channel structures now provides a foundation for structure-based computational studies. The availability of the atomic coordinates of KcsA has indeed generated a plethora of computational studies (15
27
), and with the additional K+ channel structures elucidated in the last two years, a comparative analysis of cooperative motions near the pore region can potentially provide new insights, which is the focus of this study.
The conventional computational approach for exploring the dynamics of KcsA has been to perform molecular dynamics (MD) simulations at atomic scale with explicit solvent and lipid molecules. Due to the large size of the system (typically >50,000 atoms), the generated trajectories are typically restricted to short times, of the order of nanoseconds. As such, MD simulations, including our previous work (15
,16
,20
,26
), have been unable to elucidate the collective structural changes involved in channel gating, which are at least one to two orders of magnitude slower. Many targeted or steered MD simulations have been resorted to, to accelerate the simulations and explore the functional motions of K+ channels. In particular, the closed and open structures of KcsA and MthK, respectively, have been used as end points to model the gating mechanism (23
,24
). Biggin and Sansom simulated the opening of KcsA by gradually increasing the volume of a particle at the putative CP gate region (23
). Tikhonov and Zhorov applied lateral forces on the inner ends of the M2 helices (see below) to open up the pore (24
). There have been examples of notable successes in predicting the KcsA ion-binding sites (25
,26
) and in estimating the free-energy profile that facilitates ion permeation through the selectivity filter (27
). Yet, the large-scale motions that cooperatively engage the entire molecule, and in particular those instrumental in gating, remained beyond the reach of MD simulations in general.
Another computational approach that has found wide applications in recent years for exploring long-time/large-scale dynamics is normal-mode analysis (NMA) with coarse-grained models. NMA has been applied to proteins since the early 1980s (28
30
), but its utility as an efficient approach for a first assessment of functional motions has been fully recognized only recently, after verifying in many applications the strong correlation between the most cooperative (usually the lowest-frequency, also called global) modes of motions predicted by NMA and the functional motions inferred from experiments (31
33
). A recent NMA by Ma and co-workers already demonstrated its utility for providing insights into the gating mechanism of KcsA (34
). Given the insensitivity of global modes to detailed atomic interactions (35
), reduced models (e.g., elastic network models) have been adopted for identifying such intrinsic dynamics, starting from the Gaussian network model (GNM) (36
,37
), built on statistical mechanical theories introduced for polymer networks (38
), which led the way to a wealth of applications and extensions (32
,33
,39
52
).
In this work, the equilibrium dynamics of KcsA, KirBac, MthK, KvAP, and Shaker (see Fig. 1) are analyzed using elastic network models. We focus on the slowest nonzero modes predicted by the GNM and the anisotropic network model (ANM) (41
), and demonstrate that all five K+ channels possess the same type of intrinsic global dynamics for regulating the pore opening/closing at the putative intracellular gate. The most cooperative mechanism of conformational change invariably predicted for all five structures is a global torsion, manifested by the counterrotations of the EC and CP regions around the cylindrical axis, similar to a corkscrew mechanism, and simultaneously inducing an enlargement of the pore at the CP end. The second most cooperative mode is an alternating expansion/contraction of EC and/or CP ends via anticorrelated fluctuations of oppositely located pairs of monomers. This type of motion is likely to facilitate the binding and access of toxins to the central constriction zone. The results are shown to explain and complement the experimental observations of Perozo and co-workers (13
,14
) and permit us to identify the key sites/residues that control the functional mechanics of the potassium channels.
| MATERIAL AND METHODS |
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The structure is represented by a network of N nodes identified by the
-carbons. The pairs of nodes within a cutoff distance Rc of 7.0 Å are assumed to be connected by uniform springs of force constant
, representative of the interactions that stabilize the native fold. The interresidue contact topology is fully defined by the N x N Kirchhoff matrix, the elements of which are defined as
![]() | (1) |
provides information on the mean-square (MS) fluctuations
(
Ri)2
of residues (diagonal elements) and their cross-correlations (off-diagonal elements), in a manner similar to the inverse of the Hessian in NMA, i.e.
![]() | (2) |
Global modes of motion
A major utility of the GNM is the decomposition of the fluctuation spectrum into a set of normal modes, or the extraction of the slow (or global) modes with minimal computational cost. The contribution of the kth nonzero mode (1
k
N 1) to
(
Ri)2
is given by (36
)
![]() | (3) |
k are the respective kth eigenvector and eigenvalue of
.
k scales with the frequency of mode k, and the ith element of uk, [uk]i, provides a measure of the displacement of residue i along the kth mode coordinate. In particular, [u1]i reflects the mobility of residue i in the first (slowest) mode (note that
0 = 0). Its distribution as a function of residue index i is termed the global mode shape.
The slow modes usually have high collectivity (51
). Several studies have shown that a small subset of slow modes are usually implicated in molecular motions relevant to biological function (31
33
,39
49
,51
53
). The most constrained (or least mobile) residues in these modes play a key mechanical role, such as acting as hinge centers or regulating the concerted movements of entire domains. A major utility of the GNM is indeed the identification of such mechanically critical sites.
Anisotropic network model (ANM)
The GNM provides information on the magnitude of fluctuations, not on their directions, and these fluctuations are isotropic by definition, i.e.,
. To characterize the directions of motions, we adopt the ANM (41
).
is replaced therein by the 3N x 3N Hessian matrix H, the elements of which are found from the second derivatives of the ANM potential
![]() | (4) |
-carbon positions. Note that the ANM potential differs from the one implicitly assumed in the GNM,
![]() | (5) |
) and final (Rij) interresidue distances, not penalizing the changes in orientation that maintain the interresidue distances, whereas VGNM depends on the vectorial difference. That is, GNM takes account of internal orientational deformations in addition to distance changes. In this respect, the ANM is less realistic than the GNM, but it has the advantage of yielding information, albeit approximate, on the components of
Ri.
Generation of accessible and potentially functional reconfigurations
Conformational changes favored by a given mode k can be assessed using the ANM-predicted eigenvector
in
![]() | (6) |
Structural details on the 2TM pore
Most K+ channels are homotetrameric and fourfold symmetric around the pore (cylindrical, z) axis. The pore is surrounded by four pairs of TM helices, called TM1 and TM2 in KcsA. As illustrated for KcsA (Fig. 2 a), the outer helices (TM1) are exposed to the hydrophobic lipid environment, whereas the inner helices (TM2) face the pore. The entire length of the pore is
34 Å. The P-loop is comprised of the selectivity filter, the P-helix, which spans only the upper half of the bilayer, and the exposed loops, known as the turret (3
). The four P-loops together form the EC vestibule, enclosing a narrow selectivity-filter region
10 Å in length, which opens up into a large central cavity of
10 Å in diameter. This central cavity is connected to the cytoplasm by a hydrophobic pore
18 Å in length, containing the putative gate region. The pore-forming regions of MthK, KirBac, KvAP, and Shaker have topology similar to that of KcsA (Fig. 1 b). No ions were included in our model, since the global modes are insensitive to the inclusion or exclusion of single nodes.
MD simulations
MD simulations of KcsA (1k4c) were carried out in a lipid bilayer solvated with explicit water molecules and three potassium ions in the selectivity filter and the cavity using GROMACS (53
). An equilibration run of 300 ps was performed first, during which the protein backbone atoms were restrained by a harmonic potential and the lipid (phosphatidylethanolamine) and water molecules were allowed to relax. This was followed by a production run of 7 ns, during which the position constraints on the protein were removed.
| RESULTS AND DISCUSSION |
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2
(
Ri)2
/3 are taken from the PDB file 1k4c (54
Fig. 2 b compares the B-factors (left ordinate) or corresponding ms fluctuations (right ordinate) obtained for KcsA from GNM analysis (red curve), MD simulations (black) and x-ray crystallographic measurements (blue). The GNM curve is obtained using Eq. 2, with
= 4.82 kcal/mol Å2. Note that the absolute value of
does not affect the profile, but uniformly rescales all fluctuations.
The correlation coefficients between the results for the respective pairs GNM/MD, GNM/x-ray, and MD/x-ray are 0.93, 0.94, and 0.83. The GNM results indeed exhibit an even better agreement with experimental data than that exhibited by MD simulations. The higher performance of GNM deserves attention given that this occurs despite the facts that 1), the GNM is a coarse-grained model that does not include any specific interaction at the atomic scale, whereas these are included in MD force fields and simulations, and 2), the experimental data may also contain biases/errors due to static disorder or intermolecular contacts. One explanation is that the GNM results, being a unique analytical solution for the given structure, are devoid of any sampling inaccuracy that MD simulations may incur. One may indeed notice that the GNM yields identical results across all four monomers in accord with the fourfold symmetry of the structure, whereas the MD simulations yield different fluctuation behavior for the monomers due to random/incomplete sampling. A second explanation is that the GNM contains contributions, albeit approximate, from the complete spectrum of equilibrium modes, including, in particular, the slowest modes that involve the entire structure, which cannot be sampled within the 7-ns MD simulations.
The above analysis supports the utility and accuracy of the GNM in so far as the equilibrium fluctuations are concerned, but does not provide any information different from that already observed by experiments. We now proceed to the spectral decomposition of GNM dynamics to gain insights into the underlying dominant/cooperative modes that are potentially relevant to biological function.
Cooperative/global motions
Two mechanisms of global motions have been identified for all five examined structures, referred to hereafter as motions of types I and II, respectively. The motion of type I is doubly degenerate, i.e., it results from the combination of two symmetrically related modes with identical frequency; type II motion is nondegenerate. Although both modes are proposed to be functional, the second (type II) directly ensures pore opening, as described below.
Distribution of residue displacements driven by global modes
Fig. 3 presents an overview of the shapes of the global modes of type I (left panels) and both types (right panels) for the tetramer (left) or a monomer (right). The curves are the normalized distributions (of profiles) of residue mobilities (square displacements) induced by the particular modes (see Eq. 3). The left panels exhibit the fourfold symmetry of the motions consistent with the homotetrameric structures.
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The selectivity filter residues are distinguished by their low mobilities not only in the motion of type I, but also in type II motions, as can be inferred from the minima in the red curves in the right-hand panels. It is noteworthy to mention that our MD simulations of KcsA in an explicit solvent-bilayer environment (15
) also revealed negligibly small fluctuations at the selectivity filter region. The high stability of the selectivity filter backbone is presumably a biological requirement for precise functioning (selective conduction) of K+ channels.
The second observation of interest relates to the minima in the modes of type II. These positions indicated by the red dots in the right-hand panels in Fig. 3 refer to centrally located residues in the TM1 and TM2 helices. The minima on TM2 helices are located at, or in the close vicinity of, the conserved Gly mentioned above, mainly at G99 (KcsA), G83 (MthK), G134 (KirBac), A223 (KvAP), and L400 (Shaker). The occurrence of a glycine at a slow mode minimum suggests that this residue may serve as a "hinge" site for a global motion. Furthermore, the conservation of these glycines across all five ion channels (Fig. 1 a) suggests a conserved mechanism of motion (4
). The minima on the TM1 helices (shown by the solid triangles along the abscissa in Fig. 3), on the other hand, occur at small hydrophobic residuesV37 (KcsA), I32 (MthK), V73 (KirBac), A156 (KvAP), and L335 (Shaker)that are spatially close to the conserved Gly on TM2. The small size of these residues allows for close van der Waals interactions and rotational flexibilities. These results suggest that these TM1 residues are possibly implicated, along with the conserved Gly on TM2 helices, in a pivotal role in the global motion of type II.
Visualization of mobilities
A better assessment of mobilities is possible by mapping the results in Fig. 3 into color-coded ribbon diagrams. Fig. 4 illustrates the results for KcsA, KirBac, and Shaker. The colors range from red (most mobile) to blue (static). The panels in the left two columns illustrate the results for each of the doubly degenerate modes of type I, and those in the rightmost column refer to mode type II.
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Motion of type II, on the other hand, emerges as a very robust mode, identically recruited by all five structures. The four monomers undergo the same fluctuation behavior in this mode, i.e., the motion is fourfold (or cylindrically) symmetric. This motion, amplified toward the CP end of the ion channels, will be shown below to be a global torsion that controls the gating of the pore.
The most cooperative (lowest-frequency) modes computed here therefore reveal that despite their sequence, structure, and activation mechanism dissimilarities, all five potassium channels bear a close resemblance to each other insofar as their global motions are concerned, and it will be shown below that the global mode of type II is directly involved in pore gating.
Master curves for all five K+ channels global dynamics
Although the mode shapes in Fig. 3 appear to be somewhat different, their superimposition after correcting for the residue insertions/deletions indicated by their sequence alignment (Fig. 1 a) leads to the master behavior of all ion channels displayed in Fig. 5. Fig. 5, a and b, refers to the global modes of types I and II, respectively. The residue numbers of MthK are used as reference along the abscissa.
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Insofar as the collective motions of type I (Fig. 5 a) are concerned:
Insofar as the collective motions of type II (Fig. 5 b) are concerned:
As will be shown below, the global motion of type II is mainly responsible for gating the pore. Indeed, this combination of global torsion with outward bending of the TM1 and TM2 helices' cytoplasmic halves, which will ensure the cooperative pore opening, is consistent with experimental observations.
Mechanisms of global motions and relevance to gating
The mechanisms of the global motions of type I and II are elucidated by ANM analysis.
We first focus on KcsA. The strategy is as follows: we identify the ANM modes that are equivalent to the above-determined GNM modes of types I and II by comparing the eigenvectors derived from
and H, and sorting pairs that yield the most correlated square displacements. ANM thus permits us to compute the x, y, and z components of the fluctuations driven by the global motions of type I and II, or the deformation vectors, which upon substitution in Eq. 6 permit us to generate the "deformed" states, or the alternative conformations sampled by the actions of modes I and II. These alternative states are consistent with the notion of the native (macro) state as an ensemble of microstates defined by the normal fluctuations in the neighborhood of the known structure.
Fig. 6 illustrates the alternative conformations sampled by KcsA near its original (PDB) structure. Two different pathways of reconfiguration are shown, referring to global modes of types I and II. Fig. 6 a displays the side views of the native state and two conformations favored by mechanisms I and II. Fig. 6 b displays the top views of the same structures. The central structure is the original structure, and the four alternative forms are again those sampled by mechanisms I and II, but this time we display both the positive and negative departures away from the original state by adopting the scaling parameters of ±sI = 75 or ±sII = 100 for visualizing the respective modes (see Eq. 6). This parameter scales the size of the motion without affecting its mechanism.
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The emerging mechanisms of motions are as follows:
Pore enlargement induced by mode II: a closer view of the constriction zone
The expansion of the pore region induced by mode II can be directly viewed by plotting the radius of the central constriction zone as a function of the position along the z axis. The black curve in Fig. 7 displays the profile for the original (KcsA) structure. As illustrated in Fig. 7 b, the selectivity-filter is the region with the lowest (
1 Å) radius, shown in red, succeeded by the pore region of 1.52 Å radius (green). The central cavity enjoys significant radial enlargement (up to 4.5 Å, blue region), as does the EC end of the molecule. The fluctuating conformations induced by the action of mode II, on the other hand, lead to the solid and dotted curves shown in red in Fig. 7 a, which refer to the respective global torsions in opposite directions (positive and negative deformations induced by using ± sII). The selectivity filter remains practically unchanged during this reconfiguration, whereas there is a significant increase in the internal radius at the position of the intracellular gate. The pore-region diameter widens up to 7 Å using ± sII = 100. This behavior is illustrated by the lower diagram, where the expansion in the pore region can be visualized. The inset in Fig. 7 a also displays the relative position of the CP ends of the TM2 helices (blue and red, respectively, before and after global torsion). For simplicity, two opposite monomers are displayed here. Interestingly, this diagram shows close resemblance to that obtained by the superposition of the crystal structures of KcsA and MthK (4
), supporting the view that the deformed state presently predicted is the open form of KcsA.
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Comparison with experimental data
Most K+ channels are known to be blocked by large organic cations such as tetrabutylammonium (TBA) from the CP side and tetraethylammonium (TEA) from both sides of the membrane (3
). The size of these cations is
712 Å. The fact that these molecules can enter the pore and bind at the CP end of the selectivity filter suggests that the gate must be opening up very wide to accommodate the cation. The crystal structure of MthK (4
) also supports this argument, since in the crystal structure, the TM2 helices are bent away from the pore axis, increasing the diameter of the pore to >12 Å. The top diagrams in Fig. 8, a and b, illustrate the experimentally proposed mechanisms for KcsA and MthK gating, respectively (13
,14
). Such large conformational changes are also indicated in mutational studies done on Shaker (55
). These studies, in fact, propose a similar opening mechanism for both the voltage-gated and voltage-independent K+ channels. The torsional motion seen here in the most cooperative global mode, for all the proteins, irrespective of the gating ligand, supports the common-gating-mechanism view.
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0). Similar results are presented for Shaker and Kirbac (Fig. 8, a and b, bottom row). In Shaker, since the pore is already open, this mode pushes the intracellular region of TM2 (beyond the Gly "kink") outward and away from the pore axis.
A striking observation is the appearance of a kink, in addition to an overall enlargement, with increase in the extent of deformation. The kink occurs at T107 in KcsA, and at the conserved G134 in KirBac1.1 (Fig. 8 b), at sII = 150 and 73, respectively. The residue T107, which is a minimum in type I mode in KcsA, was also found to provide a binding site to the ion in the cavity in MD simulations (15
); in the NMA of KcsA (34
), the residues T107L110 were considered to be at a pivotal position in the gating mechanism. Notably, two mutants, A108S and A108T, have been observed (56
) to dramatically increase the population of open KcsA conformers, consistent with the critical importance of this region for mediating pore opening. In addition, mutation of T107 in KcsA resulted in dramatic reduction in current (57
). The "kink" formation presently predicted at this conserved residue is in accord with the hypothesis (4
) that the region at or around the conserved Gly serves as a "hinge" in the gating mechanism. It should be noted here that the kink in TM2 forms after the pore opens up, not before. Compare, for example, the results for KcsA for different extents of deformation (Fig. 8 a).
Finally, we note that in Shaker, the minima in the type II mode is at L400, which is in close proximity to the "PVP" motif conserved in Kv channels. Cross-linking studies suggest that a distortion may occur at TM2 in Shaker (known as S6 in Kv channels) in the vicinity of the PVP motif (58
,59
), which lends further support to the physical realism of the predicted motions.
| CONCLUSION |
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Mode I is shown to be manifested by anticorrelated fluctuations of oppositely located monomers, to deform the cylindrical symmetry of the structure, and to expose the CP and/or EC regions to facilitate ligand/toxin binding from either end.
Mode II, on the other hand, which is proposed here to be the major mechanism involved in channel gating, is a global torsion, i.e., counterrotation of the two halves of the molecule, simultaneously inducing a substantial broadening in the pore region. This mode further gives rise to the formation of a kink at a conserved glycine in all K+ channels, after a certain level of enlargement of the pore region.
Although the TM helices and CP/EC domains undergo significant rearrangements in these global modes, the selectivity filter remains highly stable (see the minimum at the signature sequence GYG in modes I and II), consistent with the required precise operation (selective conduction) of the filter, which should not be disrupted by the global rearrangements that modulate the channel-gating. The atomic structure and interactions at the selectivity filter are indeed highly specific and selective, and cannot be described by the coarse-grained approach presently adopted. Several detailed simulations by other groups have indeed provided valuable insights on the dynamics of the selectivity filter at full atomic level in the presence of ions and water molecules (15
,17
19
,21
). Our view is that the global motions characterized here do not interfere with the subtle operation of the selectivity filter, but regulate the collective rearrangements of the TM helices surrounding the pore region to ensure the predisposition of the structure to channel gating that may be triggered by various mechanisms in different K+ channels.
This study provides further evidence for the intrinsic ability of proteins to undergo cooperative changes required for their biological function (32
,33
,51
,52
,60
62
). The current understanding is that the topology of interresidue contacts, or the overall architecture, defines their equilibrium dynamics, or the cooperative fluctuations that incur the lowest energy ascent in the neighborhood of the original equilibrium state; and these structure-induced fluctuations are those required for, or facilitating, biological functional mechanisms. The slowest modes unraveled by NMA are nothing other than these lowest-ascent pathways away from the global minimum, and due to their collective nature, these modes are relatively insensitive to atomic details, hence the utility of coarse-grained models such as GNM. This type of structure-encoded dynamics and allosteric effects are presumably further enhanced by structural symmetry in the case of multimeric enzymes or receptors (60
), and the fourfold symmetric potassium channels are probably no exception to this generic behavior of biomolecular systems.
| SUPPLEMENTARY MATERIAL |
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| ACKNOWLEDGEMENTS |
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Partial support from National Institutes of Health grants 5R01-LM007994 and 1 P20 GM065805-01A1 is gratefully acknowledged.
Submitted on January 4, 2006; accepted for publication February 14, 2006.
| REFERENCES |
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2. Ashcroft, F. M. 2000. Ion Channels and Disease. Academic Press, San Diego.
3. Doyle, D. A., J. M. Cabral, R. A. Pfuetzner, A. Kuo, J. M. Glubis, S. L. Cohen, B. T. Cahit, and R. MacKinnon. 1998. The structure of the potassium channel: molecular basis of K+ conduction and selectivity. Science. 280:6976.
4. Jiang, Y., A. Lee, J. Chen, M. Cadene, B. T. Chait, and R. MacKinnon. 2002. Crystal structure and mechanism of a calcium-gated potassium channel. Nature. 417:515522.[CrossRef][Medline]
5. Kuo, A., J. M. Gulbis, J. F. Antcliff, T. Rahman, E. D. Lowe, J. Zimmer, J. Cuthbertson, F. M. Ashcroft, T. Ezaki, and D. Doyle. 2003. Crystal structure of the potassium channel KirBac1.1 in the closed state. Science. 300:19221926.
6. Jiang, Y., A. Lee, J. Chen, V. Ruta, M. Cadene, B. T. Chait, and R. MacKinnon. 2003. X-ray structure of a voltage-dependent K+ channel. Nature. 423:3341.[CrossRef][Medline]
7. Long, S. B., E. B. Campbell, and R. MacKinnon. 2005. Crystal structure of a mammalian voltage-dependent Shaker family K+ channel. Science. 309:897903.
8. Berman, H. M., J. Westbrook, Z. Feng, G. Gilliland, T. N. Bhat, H. Weissig, I. N. Shindyalov, and P. E. Bourne. 2000. The Protein Data Bank. Nucleic Acids Res. 28:235242.
9. Enkvetchakul, D., I. Jeliazkova, and C. G. Nichols. 2005. Direct modulation of Kir channel gating by membrane phosphatidylinositol 4,5-bisphosphate. J. Biol. Chem. 280:3578535788.
10. Swartz, K. J. 2004. Opening the gate in potassium channels. Nat. Struct. Biol. 11:499501.[CrossRef]
11. Webster, S. M., D. Del Camino, J. P. Dekker, and G. Yellen. 2004. Nature. 428:864868.[CrossRef][Medline]
12. Papazian, D. M., T. L. Schwarz, B. L. Tempel, Y. N. Jan, and L. Y. Jan. 1987. Science. 237:749753.
13. Perozo, E., D. M. Cortes, and L. G. Cuello. 1999. Structural rearrangements underlying K+ channel activation. Science. 285:7378.
14. Perozo, E. 2002. New structural perspectives on K+ channel gating. Structure. 10:10271029.[Medline]
15. Shrivastava, I. H., and M. S. P. Sansom. 2000. Simulations of ion permeation through a K channel: molecular dynamics of KcsA in a phospho-lipid bilayer. Biophys. J. 78:557570.
16. Shrivastava, I. H., and M. S. P. Sansom. 2002. Molecular dynamics simulations and KcsA channel gating. Eur. Biophys. J. 31:207216.[CrossRef][Medline]
17. Bernèche, S., and B. Roux. 2000. Molecular dynamics of the KcsA K+ channel in a bilayer membrane. Biophys. J. 78:29002917.
18. Domene, C., and M. S. P. Sansom. 2003. Potassium channel, ions, and water: simulation studies based on the high resolution x-ray structure of KcsA. Biophys. J. 85:27872800.
19. Allen, T. W., S. Kuyucak, and S. H. Chung. 1999. Molecular dynamics study of the KcsA potassium channel. Biophys. J. 77:25022516.
20. Capener, C. E., I. H. Shrivastava, K. M. Ranatunga, L. R. Forrest, G. R. Smith, and M. S. P. Sansom. 2000. Homology modeling and molecular dynamic simulation studies of an inward rectifier potassium channel. Biophys. J. 78:29292942.
21. Guidone, L., V. Torre, and P. Carloni. 2000. Water and potassium dynamics inside the KcsA K channel. FEBS Lett. 477:3742.[CrossRef][Medline]
22. Roux, B., and K. Schulten. 2004. Computational studies of membrane channels. Structure. 12:13431351.[Medline]
23. Biggin, P. C., and M. S. P. Sansom. 2002. Open-state models of a potassium channel. Biophys. J. 83:18671876.
24. Tikhonov, D. B., and B. S. Zhorov. 2004. In silico activation of KcsA K+ channel by lateral forces applied to the C-termini of inner helices. Biophys. J. 87:15261536.
25. Bernèche, S., and B. Roux. 2001. Energetics of ion conduction through the K+ channel. Nature. 414:7377.[CrossRef][Medline]
26. Sansom, M. S. P., I. H. Shrivastava, J. N. Bright, J. Tate, C. E. Capener, and P. C. Biggin. 2002. Potassium channels: structures, models, simulations. Biochim. Biophys. Acta. 1565:294307.[Medline]
27. Åqvist, J., and V. Luzhkov. 2000. Ion permeation mechanism of the potassium channel. Nature. 404:881884.[CrossRef][Medline]
28. Brooks, B., and M. Karplus. 1983. Harmonic dynamics of proteins: normal modes and fluctuations in bovine pancreatic trypsin inhibitor. Proc. Natl. Acad. Sci. USA. 80:65716575.
29. 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.
30. Levitt, M., C. Sander, and P. S. Stern. 1985. Protein normal-mode dynamics: trypsin inihibitor, crambin, ribonuclease and lysozyme. J. Mol. Biol. 181:423447.[CrossRef][Medline]
31. Kitao, A., and N. Go. 1999. Investigating protein dynamics in collective coordinate space. Curr. Opin. Struct. Biol. 9:164169.[CrossRef][Medline]
32. Ma, J. 2005. Usefulness and limitations of normal mode analysis in modeling dynamics of biomolecular complexes. Structure. 13:373380.[Medline]
33. Bahar, I., and A. J. Rader. 2005. Coarse-grained normal mode analysis in structural biology. Curr. Opin. Struct. Biol. 15:17.[CrossRef]
34. Shen, Y., Y. Kong, and J. Ma. 2002. Intrinsic flexibility and gating mechanism of the potassium channel KcsA. Proc. Natl. Acad. Sci. USA. 99:19491953.
35. Tirion, M. M. 1996. Large amplitude elastic motions in proteins from a single-parameter atomic analysis. Phys. Rev. Lett. 77:19051908.[CrossRef][Medline]
36. Bahar, I., A. R. Atilgan, and B. Erman. 1997. Direct evaluation of thermal fluctuations in protein using a single parameter harmonic potential. Folding Des. 2:173181.[CrossRef][Medline]
37. Haliloglu, T., I. Bahar, and B. Erman. 1997. Gaussian dynamics of folded proteins. Phys. Rev. Lett. 79:30903093.[CrossRef]
38. Flory, P. J. 1976. Statistical thermodynamics of random networks. Proc. Royal Soc. Lond. A. 351:351378.
39. Bahar, I., B. Erman, R. L. Jernigan, A. R. Atilgan, and D. G. Covell. 1999. Collective motions in HIV-1 reverse transcriptase: examination of flexibility and enzyme functions. J. Mol. Biol. 285:10231037.[CrossRef][Medline]
40. Bahar, I., and R. L. Jernigan. 1998. Vibrational dynamics of transfer of RNAs: comparison of the free and synthetase bound forms. J. Mol. Biol. 281:871884.[CrossRef][Medline]
41. Atilgan, A. R., S. R. Durrell, R. L. Jernigan, M. C. Demirel, O. Keskin, and I. Bahar. 2001. Anisotropy of fluctuation dynamics of proteins with an elastic network mode. Biophys. J. 80:505515.
42. Zheng, W., B. R. Brooks, S. Doniach, and D. Thirumalai. 2005. Network of dynamically important residues in the open/closed transition in polymerases is strongly conserved. Structure. 13:565577.[Medline]
43. Zheng W., and B. R. Brooks. Identification of dynamical correlations within the myosin motor domain by the normal mode analysis of an elastic network model. J. Mol. Biol. 346:745759.
44. Haider, S., A. Grotessi, B. A. Hall, F. M. Ashcroft, and M. S. P. Sansom. 2005. Conformational dynamics of the ligand-binding domain of inward rectifier K channels as revealed by molecular dynamics simulations: toward an understanding of Kir channel gating. Biophys. J. 88:33103320.
45. Ming, D., Y. Kong, M. A. Lambert, Z. Huang, and J. Ma. 2002. How to describe protein motion without amino acid sequence and atomic coordinates? Proc. Natl. Acad. Sci. USA. 99:86208625.
46. Zheng, W., and S. Doniach. 2003. A comparative study of motor-protein motions by using a simple elastic-network model. Proc. Natl. Acad. Sci. USA. 100:1325313258.