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Biophys J, August 2001, p. 715-724, Vol. 81, No. 2

*Department of Chemistry and Biochemistry,
Department
of Physics, and
Howard Hughes Medical Institute and
Departments of Chemistry and Biochemistry and of Pharmacology,
University of California, San Diego, La Jolla, California 92093 USA
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ABSTRACT |
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A 10-ns molecular dynamics simulation of mouse acetylcholinesterase was analyzed, with special attention paid to the fluctuation in the width of the gorge and opening events of the back door. The trajectory was first verified to ensure its stability. We defined the gorge proper radius as the measure for the extent of gorge opening. We developed an expression of an inter-atom distance representative of the gorge proper radius in terms of projections on the principal components. This revealed the fact that collective motions of many scales contribute to the opening behavior of the gorge. Covariance and correlation results identified the motions of the protein backbone as the gorge opens. In the back-door region, side-chain dihedral angles that define the opening were identified.
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INTRODUCTION |
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Acetylcholinesterase (AChE) is the enzyme
responsible for the termination of signaling in cholinergic synapses
(such as the neuromuscular junction) by degrading the neurotransmitter
acetylcholine. AChE has a gorge, 2 nm deep, leading to the catalytic
site. Molecular dynamics (MD) simulations (McCammon and Harvey, 1987
;
Brooks et al., 1988
) have shown breathing motions of this gorge (Gilson et al., 1994
; Wlodek et al., 1997
; Zhou et al., 1998
). They also showed
that an alternative portal providing access to the catalytic site is
present in AChE. This back door, as it is called, may facilitate rapid
solvent and product removal (Gilson et al., 1994
; Tara et al.,
1999
).
In this paper, we collect a 10-ns trajectory of mouse AChE (mAChE) using MD simulation. We define and calculate the time series for the proper radius of the gorge and for the back-door opening events, as observed in our 10-ns MD trajectory. We also perform principal component analysis for the trajectory. Then we look for correlations among the results from our analyses with a view to finding the important collective motions in AChE responsible for its opening behaviors.
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MATERIALS AND METHODS |
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Molecular dynamics simulation
The previous 1-ns MD simulation of mAChE (Tara et al., 1999
) was
extended to afford a trajectory of 10.8 ns. The set-up procedure has
been described in the previous paper and is summarized below. The
crystal structure of mAChE in complex with fasciculin 2 (Fas2) (Bourne
et al., 1995
) (Protein Data Bank identification code: 1MAH) was used to
model unliganded mAChE. Fas2 was removed from the structure, and seven
residues in mAChE that are missing in 1MAH (residues 258-264) were
repaired by modeling with Insight II (Molecular Simulations, San Diego,
CA) to give the initial structure. The protein was solvated in a cubic
box (9.6-nm edges) of pre-equilibrated water molecules. To neutralize
the
10 charge of mAChE, nine sodium ions were placed in the solvent
at ~0.5 nm from the protein surface, and one sodium ion was placed in the active site near Trp86 and His447. The simulation system had a
total of 8,289 solute atoms and 75,615 solvent atoms.
The simulation was performed in the isothermal-isobaric ensemble. The
solvent and solute were separately coupled to temperature reservoirs of
298.15 K with coupling times of 0.1 ps. Pressure was restrained to 1 atm with a coupling time of 0.4 ps. All minimization and MD simulation
steps were performed using NWChem version 3.0 (Straatsma et al., 2000
)
with the AMBER 94 force field (Cornell et al., 1995
). Long-range
electrostatic interactions were calculated using particle-mesh Ewald
summation (Darden et al., 1993
). Bond lengths between hydrogens and
heavy atoms were constrained using SHAKE (Ryckaert et al., 1977
). The
simulation was performed on 32 processors of a Cray T3E parallel
supercomputer at the San Diego Supercomputer Center over a period of 3 years, consuming a total of ~200 processor-months of supercomputer
time. Frames were collected at 1-ps intervals for the simulation length
of 10.8 ns, giving 1.08 × 104 frames. The
first 700 frames of this trajectory were considered the equilibration
phase and not used in the main analysis for reasons described in
Results; only the subsequent 10,000 frames (10 ns) were used in the
main analysis. Thus, the last 300 ps of the previous trajectory (Tara
et al., 1999
) are the first 300 ps of the present 10-ns trajectory
admitted for analysis.
Proper radius of the gorge
To characterize the degree of the gorge opening with a single
variable, we defined the gorge proper radius
for the conformation of each snapshot as the maximum radius of a spherical ligand that can
go through the gorge from outside the protein to reach the bottom.
Equivalently, it is the maximum probe radius that still generates a
solvent-accessible surface with a continuous topology.
In our algorithm, we first generate the Shrake and Rupley surface with
a testing probe sphere of given radius; then we try to determine
whether the surface generated by the atom O
in
residue Ser203 (one of the residues in the active site; the bottom of
the gorge) is topologically continuous with the surface of the
bottleneck region (represented by the atoms Leu76
C
1, Trp286
C
, and Tyr72 OH) for
that probe radius. Using a binary search algorithm to decide what will
be the next probe radius, we can determine
with desired precision.
We started with a test value of 160 pm and assumed
to be
bounded by 80 pm and 240 pm. With six iterations in the binary search
algorithm, we achieved a final discretization of 5 pm. We calculated
for each snapshot, and the results were collected as a time series
(t).
Back-door opening events
In addition to the gorge, MD results from this and previous
(Tara et al., 1999
) simulations of mAChE also showed an alternative opening occasionally large enough for at least water molecules to pass.
This opening, named the back door (Gilson et al., 1994
), is conjectured
to assist in releasing solvent or reaction products. The back door is
formed by the residues Trp86, Gly448, Tyr449, and Ile451. Instead of
using multiple probe radii to calculate the proper radius, as in the
case of the gorge, we used a single probe radius of 140 pm to test
whether it is open or closed. We always blocked the gorge entrance
while probing for back-door opening events. (Similarly, we blocked the
back-door region in the gorge calculation described above.) Each frame
that the algorithm reported to have a back door opening was verified
visually using Insight II. The result is expressed as a time series:
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(1) |
Principal components
Principal component analysis
Considering only the
-carbons, the N-residue
trajectory can be considered as a vector function of time t,
namely, r(t) = [r1x(t),
r1y(t), ... , rNz(t)]T
of size f = 3N, containing the Cartesian
coordinates at time t for residue 1 in the x
direction, residue 1 in the y direction, up to residue
N in the z direction.
The ij entry Cij of the
covariance matrix C is the covariance of the positions for
two degrees of freedom i and j, namely,
Cij =
(ri(t)
ri
t)
(rj(t)
rj
t)
t
where
·
t is the time average over the
whole trajectory. Principal component analysis (PCA) (García,
1992
= TTCT, so as to obtain the
diagonal matrix
with the diagonal entries being the eigenvalues
ranked by magnitude. The cth column of the transformation
matrix T is the cth eigenvector
vc, that is, T = [v1, v2,
... , vf].
In our analysis, the algorithm for PCA of the Cartesian coordinates of
the
-carbon atoms was implemented in the Java programming language,
with the JAMA matrix package (The MathWorks, Natick, MA, and National
Institute of Standards and Technology, Gaithersburg, MD).
The first five residues in the MD simulation (residues 4-8) and the
last five residues (539-543) were removed before the PCA to avoid
terminal motions excessively dominating the analysis. Therefore, each
frame contained the Cartesian coordinates for N = 530
-carbon atoms (Leu9 to Lys538), or f = 3N = 1590 degrees of freedom. Each frame in the 10-ns
trajectory is superimposed to the first frame using quaternion fitting
before being admitted into the PCA. This removes the motions in the
rotational and translational degrees of freedom.
Using the transformation matrix T, we can convert between
the projections along the principal components and the Cartesian coordinates using (
r(t) :=
r(t)
r
t = Tp(t), where p(t) = [p1(t),
p2(t), ... , pf(t)]T
is a vector of size f; the cth entry thereof is
the projection along the principal component c.
Back-projecting: expressing a C
-C
distance in terms of projections along principal components
r. For example, the deviation from
average for residue 124 in the x direction is
r124x = v1,124xp1 + v2,124xp2 + ... + vf,124xpf where
vi,124x is the (scalar) entry in the
ith eigenvector that corresponds to residue 124 in the
x direction, etc. (For simplicity in notation, we omit
explicitly writing out that the rs and ps are
indeed functions of time.)
The squared distance between residues 124 and 338 (see Results for the
reason for this choice of residues) can then be written as
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(2) |
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i,x :=
vi,124x
vi,338x and
x
:=
r124x
t
r338x
t,
and similarly for y and z; then we can write
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(3) |
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(4) |
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(5) |
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(6) |
r
t and the
transformation matrix T. Note that the square of the
distance,
[d124,338(t)]2,
is not simply a linear combination of the projections
pc(t), but also has
cross-terms in the product of two projections
pc1(t)pc2(t).
Alternatively, this squared distance can be equated to
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(7) |
d124,338





cRcpc
is
2


(
c
c,
pc);
and the cross-term part
c2
c1Qc1c2pc1pc2
is 
[(
c
c,
pc)2].
Because of this last correspondence, we expect to see that the
cross-term part will always be larger than zero; this is indeed what we
see in the Results.
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RESULTS |
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Stability of trajectory and mobility of residues
Fig. 1 shows the solute potential
energy of the 10.8-ns trajectory. After the first 700 ps, the solute
potential energy ended its decreasing trend and fluctuated around 75.9 MJ mol
1. This is one of
our reasons for discarding the first 700 ps of trajectory and starting
the equilibrium statistics thereafter.
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Another justification for discarding the first 700 ps comes from Fig.
2, where we plot the solute potential
energy with the gorge proper radius
. The points from the first
700-ps cluster are distinct from the rest of the trajectory for their
high energies and small gorge radii. This suggests that the mAChE
molecule relaxes from the conformation in the crystal structure 1MAH
with higher energy and smaller gorge proper radius to one that has a
wider gorge and is lower in energy.
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The root mean square deviation (rmsd) from the crystal structure
through the 10-ns trajectory is shown in Fig.
3. The rmsd for the
-carbon atoms kept
stable around 120 pm, and that for all heavy atoms was maintained at
170 pm.
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The temperature, the total energy, the mass density, and the volume during the 10-ns trajectory remained stable. The energy components were inspected to ensure the stability of the trajectory.
The isotropic temperature (B) factor can be calculated
from the mean square fluctuation (msf) (McCammon and Harvey, 1987
; Brooks et al., 1988
) using the equation
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(8) |
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The time-averaged rmsd for each residue, using the mAChE part in the 1MAH crystal structure as the reference, was also calculated; it showed similar features as the simulated B factor (data not shown). Overall, we do not observe outstanding fluctuations in the gorge region over other parts of the protein.
Back-door opening events
In the 10,000 frames analyzed, only 78 had back-door openings
(Fig. 5). We compared
(t)
with the dihedral angle values in the residues that form the back door,
namely, Trp86, Gly448, Tyr449, and Ile451. The most important ones are
shown in Fig. 6.
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Correlation and covariance analyses
The 10-ns time series for the gorge proper radius
(t) is shown in Fig. 7. The
average of the proper radius is 152 pm. The probability distribution
over all observed values of
is not Gaussian, as previously
described (Shen et al., 2001
).
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We define the correlation between the ith degree of freedom,
ri(t), and the gorge proper
radius
(t) to be
|
(9) |
-carbon atom of each residue (Fig.
8). Also, we calculated the average
correlation vector within each of the secondary structure elements
(
-helices and
-strands; Fig. 9).
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Similarly, the average velocity covariance is defined as
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(10) |
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Principal component analysis and back-projecting
We found that the distance between Phe338
C
2 and Tyr124
OH and the gorge proper radius are highly
correlated, with a correlation coefficient of 0.91 (Fig.
11); the correlation coefficient
between the distance Phe338 C
-Tyr124
C
and the gorge proper radius is 0.55.
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We calculated the time-dependent contributions to
[d124,338(t)]2,
namely, the linear part
cRcpc(t)
and the cross-term part
c1
c2Qc1c2pc1(t)pc2(t) (Fig. 12). Note that sometimes the
linear part and the cross-term part have comparable magnitudes but
opposite directions, for example, around 8.1 ns.
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DISCUSSION |
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B factors
The crystallographic B factors include a variety
of contributions (e.g., crystal contacts and static disorder in the
crystal) in addition to that from the dynamical fluctuations, and these additional contributions are expected to be substantial for a structure
of modest resolution (Karplus and McCammon, 1981
). The crystallographic
resolution is 0.32 nm (3.2 Å) for the structure 1MAH (Bourne et al.,
1995
). Generally, the crystallographic B factors were larger
than those observed in MD because the simulation sampled far fewer
conformations of the protein than crystallography; the termini,
however, exhibited larger B factors in the MD simulation where the protein is solvated in water rather than packed in a crystal.
In the original crystal structure (Bourne et al., 1995
), loop II
of Fas2 interacts with the peripheral anionic site of mAChE, thereby
blocking substrate access to the active site; loop I of Fas2 fits in a
crevice near the entrance of the gorge. Our simulation starts from this
crystal structure, with the inhibitor Fas2 removed. However, we do not
see larger B factors in MD than in the crystal structure for
the residues involved in contact with Fas2; this is probably due to the
same reasons mentioned in the previous paragraph. Nor were any
outstanding deviations observed in the Fas2 contact interface in the
time-averaged rmsd for each residue.
Access to the active site
Unlike the previous 0.5-ns MD simulation on the Torpedo
californica AChE (TcAChE) complexed with tacrine (Wlodek et al.,
1997
), our simulation showed a non-Gaussian probability distribution of
the gorge proper radius as previously described (Shen et al., 2001
). In
addition, our average radius, 152 pm, was smaller than that in the
tacrine-complexed TcAChE simulation (~190 pm). The time series
(t) almost never reached the 240 pm; for a substrate as
large as acetylcholine, AChE hardly allowed it any spontaneous access
to the active site during the 10-ns trajectory.
The presence of the ligand tacrine in the gorge may be the reason for the larger proper radius in the tacrine-complexed TcACHe simulation. Favorable electrostatic interactions between AChE and its substrate may help in overcoming the difficulty of squeezing through a narrow gorge. Note that the catalysis of AChE occurs on a millisecond time scale; as long as the frequency of gorge opening is not so low that the substrate diffuses away from the gorge entrance before commitment to catalysis, rarity of opening in this nanosecond simulation does not preclude diffusion-controlled kinetics.
Back-door opening events
The proposition for the existence of the back door has been based
on visual observation of the crystal structure (Ripoll et al., 1993
)
and supported by conformations sampled by simulations of TcAChE (Gilson
et al., 1994
; Faerman et al., 1996
). In our simulation, although only
78 frames out of our 10-ns trajectory had back-door opening events, the
back-door opening observed here aligned sequentially with that observed
in the MD simulation of TcAChE: Trp86, Gly448, and Tyr449 in mAChE
correspond respectively to Trp84, Gly441, and Tyr442 in TcAChE. This is
a remarkable fact; this alternative opening, named the back door, is
not limited to a single species but has been observed by MD simulations
in at least two species.
The selected dihedral angles in the region, as shown have preferred
values when the back door opens. For most of the opening events, e.g.,
around 3 ns,
2 of Trp86 acquires higher values around 150° than the usual values around 110°. Back-door opening is
more likely to happen when
of Gly448 assumes a value around 45°
rather than around 80° and when
1 of Tyr449
is around
140° rather than
120°. Four major types of rotamers
for the
1 and
2 of
Ile451 are observed: 1) (
1
60°,
2
±180°), or (
gauche, trans); observed most often in this trajectory, this seems
to be almost a necessary, but not sufficient, condition for back-door opening; 2) (
1
30°,
2
60°), or (+gauche,
+gauche); observed sporadically in the first half of the
trajectory, it is interspersed between opening events; 3)
(
1
60°,
2
60°), or (+gauche,
gauche); observed around
5 ns and 6 ns, this rotamer does not give any opening events; 4)
(
1
60°,
2
60°), or (
gauche, +gauche); observed after 7 ns, this rotamer also does not give any opening events.
It is difficult to be conclusive about preferred dihedral angle values for back-door opening for the following reasons. We have only a small number of opening events. In addition, some of the opening events in the last 2 ns of the simulation have violations of preferred dihedral angle values; for example, the two conformations shown in Fig. 5 have subtly different values for these dihedral angles, but the one at 8996 ps has an open back door but that at 291 ps does not.
Site-directed mutagenesis experiments on human AChE (Kronman et al.,
1994
) and TcAChE (Faerman et al., 1996
) do not support significant
participation of back-door traffic in catalytic activities. On the
other hand, there is recent experimental evidence from two different
methods supporting the back-door hypothesis: product clearance through
the back door is implied by the crystal structure of a carbamoylated
TcAChE (Bartolucci et al., 1999
); one inhibitory monoclonal antibody of
Electrophorus AChE is reported to bind to the region of the
back door (Simon et al., 1999
). It is our view that one has to be
cautious while attempting to interpret and reconcile these data
concerning the back door, and take into consideration the time scale of
each method of observation. Indeed, even this simulation of 10 ns
covers only a fraction of a thousandth of a catalytic cycle of AChE.
Despite consistently observing conformations with an open back door in
several MD simulations, we cannot ascertain details of the involvement
of the back door in AChE catalytic function.
Correlation and covariance analyses
We have found that the porcupine plots (Figs. 8-10) are very
helpful in visualizing the concerted motions between parts of the protein and the functionally interesting motion, the gorge opening. The
correlation vectors in Fig. 8 reveal how much each residue moves in
concert with the gorge. Note that a correlation vector does not show
how much the residue fluctuates or how flexible it is, but how it moves
from its average position when the gorge changes in proper radius. The
moiety of AChE that includes the gorge (the half of the protein that is
closer to the viewer in the figures) has remarkable concerted motion
with the gorge proper radius. The residues in this moiety generally
have correlation vectors pointing away from the gorge. These residues
apparently move away from the gorge when the gorge opens. Some residues
that are in the other moiety (closer to the base of the gorge and
further from the viewer) have correlation vectors that are generally
smaller. The discrimination of these concerted motions is even more
pronounced in Fig. 10: the residues that construct the gorge itself
have the largest average velocity covariance vectors, whereas those
farthest from the gorge have the smallest average velocity covariance
vectors. We introduce Fig. 9 as an easy way to visualize and interpret how the secondary structure elements contribute to the opening of the
gorge. For example, helix 14 (Gly335 to Tyr341) is close to the active
site gorge; it has a large vector in this figure pointing away from the
gorge, which means it moves away when the gorge opens. This helix
includes Phe338, one of the two residues whose separation correlates
well with the gorge proper radius, as described above. Most of the
-helices in the same moiety as the gorge move away from the gorge;
those further from the gorge show little concerted motion. The helices
and two large
-sheets (B and C) in the other moiety, which is at the
bottom of the gorge, generally have upward motion toward the gorge as
the latter opens.
We speculate that inhibitors such as Fas2 may decrease the likelihood of gorge opening by restricting groups on the surface of AChE that have large concerted motions, in addition to sterically occluding the entrance to the gorge. Other allosteric inhibition mechanisms are also possible. These remain to be investigated and confirmed by our current work on the MD simulation of the complex of Fas2 and mAChE. We understand that in vivo AChE exists in cholinergic synapses as oligomers indirectly anchored on the post-synaptic membrane. These attachments to the AChE monomer are not represented in this simulation; they may also modulate the opening behavior of the gorge.
Contributions of the principal components in gorge opening
Several convincing pieces of evidence support a complex opening behavior of the gorge. Starting from a naive guess that one single principal component or just a few, representing a large collective motion in the protein, has a dominant contribution in the gorge opening behavior, we shall now enumerate evidence to demonstrate the contrary.
There is a high correlation (0.91) between the Phe338
C
2-Tyr124
OH distance and the gorge proper radius; this
distance alone may be used to predict the gorge proper radius with high
confidence. The corresponding
-carbon distance has a lower
correlation coefficient (0.55). The side chains seem to contribute
significantly to the opening of the gorge. As these particular side
chains project directly toward the gorge and actually constitute the
bottleneck much of the time, it makes sense that the correlation of the
side-chain distance and the gorge radius will be particularly strong. A
predictive model of the gorge width with high accuracy will thus have
to include the side chains into consideration; for that purpose, it is
inappropriate to concentrate only on large backbone motions and ignore
those of the side chains. On the other hand, the largest fluctuations
in the gorge radius can be expected to reflect movement of backbone
segments, and we investigate these in the current work. Ligands larger
than acetylcholine do bind to the active site, including a number of important inhibitors, and with the backbone correlation analysis we are
beginning to explore the mechanism of such processes.
The eigenvalues from the PCA, ranked by magnitude, decrease
rapidly: the 15th largest eigenvalue is less than one-tenth (0.1) of
the largest, and the 113th largest is less than one-hundredth (0.01) of
the largest. Despite this, there is not one principal component that
has an outstandingly high correlation with
(t); in other
words, no one principal component dominates the opening of the gorge.
The naive guess expects dismissible cross-term parts (
c2
c1Qc1c2pc1pc2)
in the back-projecting expression (Eq. 6); in addition, it expects the
linear part
(
cRcpc(t))
to have one dominant term with a large coefficient
Rc, while all other terms have small
coefficients. Contrary to this expectation, when ranked by magnitude,
there was not a dominant minority of terms that stand out in the list
of the Rc coefficients; indeed, none
of the
Rcpc(t)
terms in the linear part are dominant (data not shown). It is not
possible to single out principal components that dominate the width of
the gorge.
Furthermore, we saw in Fig. 12 that a model that ignores the contribution of either the cross-term part or the linear part to the gorge opening behavior is not justified. Both the linear part and the cross-term part contribute significantly to fluctuations in the width of the gorge. In sum, the naive guess that a few principal components dominate the gorge is not justified.
We conjecture that this finding is related to our fractal dynamics
model previously proposed (Shen et al., 2001
). In that model, the
time-dependent fluctuation of gorge proper radius reveals fractal
dynamics that lacks a characteristic time scale over the several orders
of magnitude being observed. We suggested that this behavior is caused
by a hierarchy of motions on different time scales acting together. It
is likely that these motions are related to our present results, where
many motions on different length scales (as revealed by PCA) have a
similar effect on the gorge behavior.
As a side note, we did attempt to perform energy landscape analysis
(Becker, 1997a
,b
, 1998
) by projection of the solute potential energy
onto the first two principal components obtained from PCA (Fig.
13). For a protein as large as AChE,
our 10,000 frames did not provide enough sampling to show a meaningful
energy landscape. Comparison between the solute potential energy and
the gorge proper radius was also inconclusive, likely for the same
reason.
|
| |
CONCLUSIONS |
|---|
|
|
|---|
The 10-ns MD simulation of mAChE was equilibrated and stable as shown by various properties and energy components and gave reasonable B factors.
The small fraction of total number of frames in which we observed an open back door severely limits the statistics of our analysis. Back-door opening seems to prefer certain dihedral angle values for some of the residues in the region.
We developed the porcupine plots to visualize the concerted motions between residues in AChE and the gorge width. The plots show that residues lining the gorge have the largest velocity covariance with the gorge, and residues in the same moiety as the gorge move concertedly away from the gorge when it opens. This clearly reveals the residues involved in gorge opening and gives the magnitude and direction of such involvement.
We have found that the Phe338
C
2-Tyr124
OH distance is highly predictive of the gorge
proper radius; the corresponding
-carbon distance has a moderate
correlation. We have not investigated side-chain motions extensively in
this paper, but side chains will be important in a predictive model of
the gorge opening.
Principal component analysis showed that the gorge proper radius is determined by motions on many different length scales; this is likely to be related to the fractal dynamics model we previously proposed.
| |
ACKNOWLEDGMENTS |
|---|
We thank Dr. Tjerk P. Straatsma for providing and maintaining the NWChem software and Dr. Sylvia Tara for setting up and equilibrating the MD simulation. We also thank Mr. Nathan Baker, Dr. Yves Bourne, Dr. Pascale Marchot, Dr. Zoran Radic, and Prof. Palmer Taylor for assistance and fruitful discussions. We especially thank Dr. Richard Henchman for inspiration in developing the porcupine plots. Gratitude is expressed to Molecular Simulations, Inc., San Diego, for generously providing us with the Insight II software. K. T. acknowledges the La Jolla Interfaces in Science interdisciplinary training program and the Burroughs Wellcome Fund for support.
This project was supported in part by the Howard Hughes Medical Institute, W. M. Keck Foundation, San Diego Supercomputer Center, National Biomedical Computation Resource, National Science Foundation, and National Institutes of Health.
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FOOTNOTES |
|---|
Received for publication 16 January 2001 and in final form 30 April 2001.
Address reprint requests to Dr. J. Andrew McCammon, University of California, San Diego, Department of Chemistry and Biochemistry, Urey Hall Bldg., Room 4238, 9500 Gilman Drive, La Jolla, CA 92093-0365. Tel.: 858-534-2959; Fax: 858-534-7042; E-mail: jmccammon{at}ucsd.edu.
Additional data from this MD simulation can be found at http://mccammon.ucsd.edu/.
U. Börjesson's current address: Laboratorium für Physikalische Chemie, Eidgenossische Technische Hochschule, Zürich, Switzerland.
M. Philippopoulos's current address: Hospital for Sick Children, Toronto, Canada.
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REFERENCES |
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Biophys J, August 2001, p. 715-724, Vol. 81, No. 2
© 2001 by the Biophysical Society 0006-3495/01/08/715/10 $2.00
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C.-G. Zhan and D. Gao Catalytic Mechanism and Energy Barriers for Butyrylcholinesterase-Catalyzed Hydrolysis of Cocaine Biophys. J., December 1, 2005; 89(6): 3863 - 3872. [Abstract] [Full Text] [PDF] |
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F. Gabel, M. Weik, P. Masson, F. Renault, D. Fournier, L. Brochier, B. P. Doctor, A. Saxena, I. Silman, and G. Zaccai Effects of Soman Inhibition and of Structural Differences on Cholinesterase Molecular Dynamics: A Neutron Scattering Study Biophys. J., November 1, 2005; 89(5): 3303 - 3311. [Abstract] [Full Text] [PDF] |
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A. S. F. Ramos and S. Techert Influence of the Water Structure on the Acetylcholinesterase Efficiency Biophys. J., September 1, 2005; 89(3): 1990 - 2003. [Abstract] [Full Text] [PDF] |
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A. Hung, K. Tai, and M. S. P. Sansom Molecular Dynamics Simulation of the M2 Helices within the Nicotinic Acetylcholine Receptor Transmembrane Domain: Structure and Collective Motions |