Martin McCullagh1, Marissa G Saunders, Gregory A Voth. 1. Department of Chemistry, James Franck Institute, Institute for Biophysical Dynamics, and Computation Institute, The University of Chicago , Chicago, Illinois 60637, United States.
Abstract
Actin performs its myriad cellular functions by the growth and disassembly of its filamentous form. The hydrolysis of ATP in the actin filament has been shown to modulate properties of the filament, thus making it a pivotal regulator of the actin life cycle. Actin has evolved to selectively hydrolyze ATP in the filamentous form, F-actin, with an experimentally observed rate increase over the monomeric form, G-actin, of 4.3 × 10(4). The cause of this dramatic increase in rate is investigated in this paper using extensive QM/MM simulations of both G- and F-actin. To compute the free energy of hydrolysis in both systems, metadynamics is employed along two collective variables chosen to describe the reaction coordinates of hydrolysis. F-actin is modeled as a monomer with restraints applied to coarse-grained variables enforced to keep it in a filament-like conformation. The simulations reveal a barrier height reduction for ATP hydrolysis in F-actin as compared to G-actin of 8 ± 1 kcal/mol, in good agreement with the experimentally measured barrier height reduction of 7 ± 1 kcal/mol. The barrier height reduction is influenced by an enhanced rotational diffusion of water in F-actin as compared to G-actin and shorter water wires between Asp154 and the nucleophilic water in F-actin, leading to more rapid proton transport.
Actin performs its myriad cellular functions by the growth and disassembly of its filamentous form. The hydrolysis of ATP in the actin filament has been shown to modulate properties of the filament, thus making it a pivotal regulator of the actin life cycle. Actin has evolved to selectively hydrolyze ATP in the filamentous form, F-actin, with an experimentally observed rate increase over the monomeric form, G-actin, of 4.3 × 10(4). The cause of this dramatic increase in rate is investigated in this paper using extensive QM/MM simulations of both G- and F-actin. To compute the free energy of hydrolysis in both systems, metadynamics is employed along two collective variables chosen to describe the reaction coordinates of hydrolysis. F-actin is modeled as a monomer with restraints applied to coarse-grained variables enforced to keep it in a filament-like conformation. The simulations reveal a barrier height reduction for ATP hydrolysis in F-actin as compared to G-actin of 8 ± 1 kcal/mol, in good agreement with the experimentally measured barrier height reduction of 7 ± 1 kcal/mol. The barrier height reduction is influenced by an enhanced rotational diffusion of water in F-actin as compared to G-actin and shorter water wires between Asp154 and the nucleophilic water in F-actin, leading to more rapid proton transport.
The growth and disassembly of actin filaments
allows cells to perform
important functions such as motility and division.[1] The hydrolysis of ATP modulates the dynamics of the actin
filament.[2] The typical pathway for actin
filament growth is as follows: ATP-bound monomeric actin (G-actin)
adds at the barbed end of the actin filament (F-actin), ATP is hydrolyzed
in the filament, and then ADP-bound actin dissociates at the pointed
end of the filament. ATP hydrolysis and inorganic phosphate (Pi) release happen in the filament and modulate the filament’s
physical properties and the binding affinity of various actin-binding
proteins.Actin has evolved to achieve such dynamics by selectively
hydrolyzing
ATP in the filamentous form as opposed to the monomeric form. Experimentally,
this rate difference has been investigated for over 25 years.[3] The most recent experiments suggest a rate of
ATP hydrolysis of 0.3 ± 0.1 s–1 in F-actin
and 7 × 10–6 s–1 in G-actin.[2,4] This rate difference equates to ATP hydrolysis (4.3 ± 2.2)
× 104 times faster in the actin filament than in monomeric
actin at 310 K. The cause of this dramatic increase remains unknown
and is the focus of the present paper.A wealth of structural
data for G-actin is available from X-ray
structures.[2,5−7] The actin monomer consists
of 375 amino acids that are parsed into four subdomains. The subdomains
are arranged in a “U” shape around the centrally located
nucleotide (Figure 1a). Upon polymerization,
a flattening of the subdomain dihedral angle (SD2–SD1–SD3–SD4;
see Figure 1b) has been observed experimentally
and with simulation.[8,9] Additional structural changes
upon polymerization include small changes to nucleotide binding residues
Gln137 and His161 which, upon mutation, can alter hydrolysis rates.[10−12] Additionally, Asp11, Asp154, and Asp157 have all been implicated
as possible bases in the hydrolysis reaction.[12−14] While Asp157
has been ruled out as a catalytic base,[13] the double mutation of Asp154 and Asp157 was found to be lethal
in yeast cells.[14]
Figure 1
(a) Structure
of G-actin with four subdomains colored differently
and coarse-grained variables depicted as colored spheres. Subdomain
(SD) 1 is in blue, SD2 in red, SD3 in gold, and SD4 in green. ATP
and magnesium ion are also depicted. (b) Side view of actin with SD2–SD1–SD3–SD4
dihedral angle in flat, F-actin conformation. (c) ATP hydrolysis reaction
with atom labels.
The mechanism of
ATP hydrolysis has been studied theoretically
in G-actin[15,16] as well as other environments.[15,17−21] ATP is hydrolyzed by cleavage of the Pγ–Oβ bond (see Figure 1c for atom
labels) and the addition of a lytic water to Pγ.
Most studies have found the reaction to occur via a dissociative pathway
whereby the Pγ leaves prior to addition of the lytic
water.[15,16,22] Two recent
studies, one in a protein environment[20] and one in solution,[23] have suggested
a concerted mechanism for hydrolysis. Here, coarse-grain (CG) constrained
QM/MM simulations of the hydrolysis reaction in F- and G-actin allow
us to compare and contrast the mechanism in each species.(a) Structure
of G-actin with four subdomains colored differently
and coarse-grained variables depicted as colored spheres. Subdomain
(SD) 1 is in blue, SD2 in red, SD3 in gold, and SD4 in green. ATP
and magnesium ion are also depicted. (b) Side view of actin with SD2–SD1–SD3–SD4
dihedral angle in flat, F-actin conformation. (c) ATP hydrolysis reaction
with atom labels.In addition to monitoring
the formation and cleavage of Pγ–Oβ bonds, the proton transfer process is
extremely important in hydrolysis. The lytic water must transfer a
proton, either before or after nucleophilic addition, to an Oγ to form H2PO4–. This process has been suggested
to go through one or two additional waters in aqueous solution.[23] Carboxylate groups in the vicinity of the reaction
are found to help catalyze this part of the reaction in protein environments.[15,20] Asp154 in actin, in particular, is found to temporarily accept a
proton during ATP hydrolysis in G-actin[15] in support of experimental observations.[14]While significant experimental and simulation work has shed
some
light on the mechanism of ATP hydrolysis in actin, the mechanism by
which F-actin hydrolyzes ATP 4.3 × 104 faster than
G-actin still remains unknown. To understand how polymerization accelerates
ATP hydrolysis, the large-scale flattening of actin associated with
polymerization (see Figure 1a and 1b) must be coupled to the quantum mechanics of chemical
bond breaking and forming. Here we present a set of QM/MM simulations
biased to reproduce the CG geometry observed in all-atom and CG simulations
of actin and actin filaments.[8,24,25] We show that the free energy barrier difference for hydrolysis predicted
from these simulations agrees well with the experimentally observed
rate differences. Insight into the structural changes that lead to
the large rate difference is presented.
Methods
Starting
Structures
The starting structures for both
the G- and F-actin QM/MM systems were taken from equilibrated classical
molecular dynamics simulations of the corresponding system. The details
of these simulations have been published previously,[8] and further details are provided in the Supporting Information (SI). For the F-actin system, a single
monomer with a subdomain 2–1–3–4 dihedral angle
of −0.55° (see Figure 1b) from
the 13mer filament was chosen as an initial starting structure for
the QM/MM simulations. This parameter was restrained by CG variables
(for subdomain center-of-mass dihedral angle, see SI) in subsequent simulations with a harmonic force constant
of 228.8 kcal/mol to ensure F-actin structure retention (see Figure1b). The G-actin starting structure has a subdomain
dihedral angle (−27.09°) much smaller than that of F-actin.
No restraints were applied to subsequent simulation of G-actin.
QM/MM Setup
The hydrolysis of ATP in actin was simulated
using a QM/MM approach with density functional theory (DFT) for the
level of QM. The quantum region was truncated to a methyl triphosphate,
bound magnesium, surrounding waters, and 10 amino acids in the vicinity
of the phosphate tail. These amino acids are Asp11, Gly13, Ser14,
Gly15, Lys18, Gln137, Asp154, Gly156, Asp157, and His161 (see Figure 2). Nonsequential amino acids were truncated at the
Cβ or Cγ carbon and capped with a hydrogen. The backbone
atoms of sequential amino acids were included and hydrogen capped
at terminal nitrogen and carbon positions. The QM region thus consisted
of approximately 200 atoms, the exact number depending on the solvation
environment. In the QM region, the DFT utilized the PBE functional
with a TZV2P basis set. The magnesium ion was treated with GTH pseudopotentials.[26,27] This setup was chosen due to its relatively low mean unsigned error
for phosphate hydrolysis.[28] All QM/MM simulations
were performed in the CP2K software package.[29]
Figure 2
Depiction of the nucleotide binding cleft of
G-actin and F-actin
(transparent). The 10 amino acids in the QM region are all labeled.
The MM region was treated with the CHARMM27 force field with
the omission of the CMAP correction which is not supported in CP2K.[30] Periodic boundary conditions were employed in
the NVT ensemble with a smoothed particle mesh Ewald treatment of
the long-range electrostatics.[31] For both
F- and G-actin, the system consisted of 55 806 atoms total:
5831 protein atoms, 43 nucleotide atoms, 37 ions (one Mg2+, 35 K+, and 21 Cl–) and 16 625
water molecules. An integration time step of 0.5 fs was employed and
total simulation time exceeded 500 ps. The temperature was maintained
at 310 K with a Nose Hoover thermostat, and the dimensions of the
box were 92 Å × 70 Å × 90 Å.
QM/MM Metadynamics
Setup
Metadynamics was used to enhance
the sampling along two collective variables chosen to represent the
reaction coordinates of ATP hydrolysis.[32] A hill height of 1.0 kcal/mol was chosen with a hill addition rate
of 0.05 fs–1 and a width of 0.1 for each collective
variable. Simulations were carried out for at least 170 ps each.Two collective variables were chosen to model the ATP hydrolysis
reaction. The coordination number between Pγ and
Oβ (for atom labels, see Figure 1c) describes the making and breaking of the Pγ–Oβ bond and allows for recombination with
any of the Oβ atoms. The coordination number between
Pγ and both Oβ and QM wateroxygens
describes the associative pathway of hydrolysis in which the lytic
water adds to the gamma phosphate. Coordination number is chosen instead
of distance to allow any QM water to act as the lytic water. These
collective variables are similar to the ones chosen by Marx et al.[22] Additional explanation of these coordinates
can be found in the SI.
Classical Molecular
Dynamics
Classical MD simulations
were carried out from the starting structures of G- and F-actin to
monitor the dynamics of water in the nucleotide binding cleft. Simulations
were carried out using the NAMD package[33] in procedures very similar to those published previously.[8] The systems were equilibrated for 20 ns followed
by productions runs of 2 ns in which coordinates were written and
analyzed every 200 fs. The integration time step used was 2 fs. The
system sizes, box sizes, and temperature were the same as the QM/MM
simulations.
Results and Discussion
Comparison of Starting
Structures
As mentioned in Methods, the subdomain 2–1–3–4
dihedral angle is the primary large-scale structural difference between
G- and F-actin (see Figure 1b). At the atomsitic
scale, the conformations of the amino acids in the QM region differed
between G- and F-actin. These are depicted in Figure 2. The residues with the largest differences between the two
species are Ser14 and His161.Depiction of the nucleotide binding cleft of
G-actin and F-actin
(transparent). The 10 amino acids in the QM region are all labeled.To quantify differences in the
starting structures, we calculated
the RMSD per residue (SI, Figure S2a).
Deviations of up to 9 Å indicate that the starting structures
for F- and G-actin differ significantly. If the crystal structure
of G-actin is used as a baseline (SI, Figure
S2b), F-actin shows deviations larger than that for G-actin, suggesting
that these differences represent more than just thermal fluctuations.
One of the two areas of largest deviation between G- and F-actin is
residues 51–70, which corresponds to the small α helix
in SD2 just to the N-terminal side of the D-loop. The second area
with large deviation between G- and F-actin is the flap region of
SD4 (residues 236–250). It should be noted that these changes
are most likely a direct reflection of the change in dihedral angle
because a global alignment was used to calculate RMSD.
Mechanism of
ATP Hydrolysis in G- and F-Actin
The free
energy of ATP hydrolysis in G- and F-actin was computed along the
two collective variables using QM/MM metadynamics simulations as described
in Methods. The two-dimensional free energy
plots are shown in Figure 3. The x-axis of both plots gives the Pγ–Oβ coordination number which goes from a value of one in the ATP state
to a value of zero in the ADP+Pi state. The y-axis of both plots gives the coordination number between Pγ and lytic wateroxygens plus gamma oxygens. This value ranges from
three (corresponding to coordination with the three gamma oxygens)
in the ATP state to four in the ADP+Pi state with the addition
of the lytic wateroxygen. Values of greater than four are observed
due to hydrogen bonding with additional waters in the vicinity of
the gamma phosphate.
Figure 3
Two-dimensional free energy surfaces calculated for ATP
hydrolysis
in (a) F-actin and (b) G-actin. These were computed using metadynamics
in QM/MM simulations. The dark blue region in panel a and the purple
region in panel b represent unsampled areas.
Two-dimensional free energy surfaces calculated for ATP
hydrolysis
in (a) F-actin and (b) G-actin. These were computed using metadynamics
in QM/MM simulations. The dark blue region in panel a and the purple
region in panel b represent unsampled areas.The free energy computed along the two collective variables
for
F-actin is depicted in Figure 3a. The basin
in the lower right of the plot is the ATP basin (reactant), and the
basin in the upper left is the ADP+Pi basin (product).
The path the metadynamics simulation took, and the lowest free energy
pathway, is neither dissociative nor associative as is evident by
the transition state region in the center of the graph. Instead, the
simulation has a concerted pathway for the hydrolysis of ATP in F-actin.
The hydrolysis reaction in F-actin along this path, and prior to full
release of Pi, is exergonic by 5 kcal/mol.The mechanism
of hydrolysis seen in G-actin is comparable to that
of F-actin, and the same locally stable basins are observed. The energetics,
however, are quite different (Figure 3b). While
the reaction is still concerted, the transition state region in between
the two basins is much narrower for G-actin than it is for F-actin.
The reaction in G-actin is found to be more exergonic than in F-actin
with the ADP+Pi basin being approximately 10 kcal/mol lower
in free energy than the ATP basin, but the barrier is significantly
higher (see
next paragraph).The one-dimensional minimum free energy paths
computed from Figure 3 are depicted in Figure 4. Here, the x-axis simply depicts
the reaction progress,
with “0” representing the ATP state and “1”
representing the ADP+Pi state. From this plot we can see
that F-actin has a free energy barrier for hydrolysis (22 kcal/mol)
significantly lower than that of G-actin (30 kcal/mol). The barrier
height is 8 ± 1 kcal/mol lower in F-actin than in G-actin, which
is in very good agreement with the experimentally observed 7 ±
1 kcal/mol barrier height difference at 310 K.[2,4]
Figure 4
Minimum
free energy path from 2D free energy surfaces for G- and
F-actin. The x-axis denotes reaction progress, with
“0” being ATP and “1” being ADP+Pi. The position along the x-axis at which
the transition state occurs is meaningless, but the barrier heights
and relative energies are meaningful. The error analysis for metadynamics
is not straightforward, but the error at each position is on the order
of the hill height, which is 1.0 kcal/mol.
Minimum
free energy path from 2D free energy surfaces for G- and
F-actin. The x-axis denotes reaction progress, with
“0” being ATP and “1” being ADP+Pi. The position along the x-axis at which
the transition state occurs is meaningless, but the barrier heights
and relative energies are meaningful. The error analysis for metadynamics
is not straightforward, but the error at each position is on the order
of the hill height, which is 1.0 kcal/mol.Monitoring of proton transport in (a) F-actin and (b) G-actin during
ATP hydrolysis.
Proton Transfer during
Hydrolysis
While not biased
in our metadynamics simulations, the proton transfer coordinate is
important for the completion of the hydrolysis reaction. This coordinate
was found to be strongly coupled to CV1 and CV2, thus supporting our
choice of collective variables (see SI for
additional discussion). As the lytic water adds to Pγ, the additional proton must leave the wateroxygen and ultimately
end up on an Oγ to create H2PO4–. The process
by which this occurs is found to be different in G- and F-actin. In
particular, the proton transfer from lytic water to gamma oxygen is
found to be almost instantaneous in F-actin while being markedly slower
in G-actin. The progress of this transfer can be monitored by looking
at the coordination number of oxygens and hydrogens involved in the
reaction. Specifically, the coordination number of the lytic wateroxygen, gamma phosphateoxygens, and Asp154oxygens with surrounding
hydrogens was monitored (Figure 5).
Figure 5
Monitoring of proton transport in (a) F-actin and (b) G-actin during
ATP hydrolysis.
The
F-actin hydrolysis event happens at around 86.5 ps of metadynamics
simulation time indicated by the drop in protonation state of the
lytic water from two to one (blue line in Figure 5a). The Asp154 carboxylateoxygen simultaneously accepts a
proton, indicated by the coordination of the Asp154oxygen (red line)
going from zero to one. The carboxylic acid species is very short-lived
(∼0.2 ps), with a gamma oxygen rapidly getting protonated to
form H2PO4–. In contrast, the protonated Asp154 species in G-actin
is relatively long-lived. In Figure 5b, a proton
leaves the lytic water at approximately 99 ps, and this is directly
coupled, again, with the addition of a proton to Asp154 (red curve
going from zero to one in Figure 5b). The carboxylic
acid species lives for over 10 ps prior to the transfer of the proton
to a gamma oxygen. This behavior suggests that the flattening of actin
upon polymerization lowers the energy barrier for hydrolysis by creating
an environment in the nucleotide binding pocket that is more favorable
for proton transport in water.
Water Dynamics in the ATP
Binding Pocket
To investigate
the structure of water in the nucleotide binding pocket further, various
dynamic properties of water were investigated. Due to the short time-scale
of the QM/MM simulations, classical MD was run from the QM/MM starting
structures. The first two properties investigated are the O–H
bond autocorrelation and the mean square displacement (MSD) as a function
of time. The O–H bond autocorrelation provides insight into
the rotational dynamics of water while the MSD gives a measure of
the translational diffusion of water. The nucleotide binding pocket
was defined as within 6 Å of the Pγ atom. This
cutoff was chosen because it contained the first two solvation shells
of water as seen in the gamma phosphorus to wateroxygen g(r) (radial distribution function). The hydrolysis reaction involves
not only waters in the first solvation shell (the lytic water) but
also waters in the second solvation shell as they contribute to the
proton transfer process.The results of the MSD calculation
for 2 ns classical MD trajectories of G- and F-actin are plotted in
Figure 6a. The G-actin (red) and F-actin (blue)
curves follow each other rather closely prior to 225 ps. The translational
diffusion of pocket waters in G- and F-actin is therefore similar
over the times of the QM/MM simulations performed in this study. The
rotational diffusion, however, shows a significant difference between
G- and F-actin (Figure 6b). The autocorrelation
of the O–H bond vectors shows an initial rapid decline in both
G-actin (red) and F-actin (blue) followed by a significant rebound
of G-actin from an autocorrelation of 0.5 to 0.7 (Figure 6b). F-actin, on the other hand, plateaus at an autocorrelation
of slightly less than 0.5. The inset in Figure 6b shows that differences in G- and F-actin are evident even at short
(<20 ps) time scales. Because the waters in the nucleotide binding
pocket of F-actin are more freely able to rotate than in G-actin they
can more easily align into specific proton transport wires, hence
lowering the free energy barrier of that process.
Figure 6
Quantification of water
dynamics in the nucleotide binding pockets
of G- and F-actin. (a) The mean squared displacement (MSD) of waters
within 6 Å of the Pγ atom in both G- and F-actin. (b) The
O–H bond autocorrelation for waters within 6 Å of the
Pγ atom for both G- and F-actin. The inset is a blow-up of the
time scales relevant to proton transport.
Quantification of water
dynamics in the nucleotide binding pockets
of G- and F-actin. (a) The mean squared displacement (MSD) of waters
within 6 Å of the Pγ atom in both G- and F-actin. (b) The
O–H bond autocorrelation for waters within 6 Å of the
Pγ atom for both G- and F-actin. The inset is a blow-up of the
time scales relevant to proton transport.The types of water wires formed during the classical MD simulations
was investigated using an analysis similar to Maupin et al.[34] In the current work, water wires were defined
by a continuous chain of water molecules with their oxygen atoms within
3.0 Å of one another. Of particular interest are the water wires
connecting Asp154 to a putative lytic water. A histogram of these
for both G- and F-actin is plotted in Figure 7. Snapshots of the most probable length water wires for F- and G-actin
are plotted in Figure 8. F-actin has a larger
population of wires of lengths three and four than does G-actin, suggesting
that while Asp154 is not protonated for very long in F-actin it still
plays an important role in the proton transfer process during ATP
hydrolysis. The shorter length of the water wires to Asp154 in F-actin
is also indicative of how a rapid return of the excess proton to the
inorganic phosphate is achieved. The increased entropy cost of the
longer water wires seen in G-actin could also be an explanation for
the narrower transition path seen in the PMF of G-actin as compared
to F-actin (Figure 3).
Figure 7
A histogram of the water
wire length observed between a putative
lytic water and Asp154 in both G- and F-actin. The error bars are
computed using bootstrapping.
Figure 8
Snapshots of water wires leading to Asp154 from a putative lytic
water from classical MD simulations of (a) F-actin and (b) G-actin.
The F-actin snapshot (a) has a three-water wire, and the G-actin snapshot
(b) has a six-water wire.
A histogram of the water
wire length observed between a putative
lytic water and Asp154 in both G- and F-actin. The error bars are
computed using bootstrapping.Snapshots of water wires leading to Asp154 from a putative lytic
water from classical MD simulations of (a) F-actin and (b) G-actin.
The F-actin snapshot (a) has a three-water wire, and the G-actin snapshot
(b) has a six-water wire.
Conclusions
The hydrolysis of ATP in actin and actin
filament growth are coupled
in a multiscale fashion; the hydrolysis of ATP affects the ability
of actin to polymerize, and the polymerization of actin affects the
rate of ATP hydrolysis.[3,35] The coupling of these length
and time scales was investigated in this work with extensive CG structurally
guided QM/MM simulations in G- and F-actin. Previous results from
actin filament simulations were utilized to employ restraints on CG
variables, allowing the replication of the filament environment with
a reduced system size. The free energy of ATP hydrolysis was then
computed for both G- and F-actin using metadynamics.Hydrolysis
in G- and F-actin occurred via a concerted mechanism
in which the gamma phosphate dissociates concurrently with lytic water
addition. The ∼8 kcal/mol difference in barrier height between
G- and F-actin agrees well with the experimentally measured value
of ∼7 kcal/mol at 310 K. Our simulations suggest that upon
polymerization small changes in the positions of key amino acids in
the active site promote the rearrangement of nearby water molecules,
facilitating the formation of shorter water wires in F-actin to shuttle
the proton from Asp154 to the phosphate of the now-dissociated gamma
phosphate. The reduction in barrier height is thus attributed, at
least in part, to the favorable proton transport environment seen
in the F-actin nucleotide binding pocket.
Authors: C Mark Maupin; Marissa G Saunders; Ian F Thorpe; Robert McKenna; David N Silverman; Gregory A Voth Journal: J Am Chem Soc Date: 2008-07-31 Impact factor: 15.419
Authors: Harshwardhan H Katkar; Aram Davtyan; Aleksander E P Durumeric; Glen M Hocky; Anthony C Schramm; Enrique M De La Cruz; Gregory A Voth Journal: Biophys J Date: 2018-09-01 Impact factor: 4.033
Authors: Vilmos Zsolnay; Harshwardhan H Katkar; Steven Z Chou; Thomas D Pollard; Gregory A Voth Journal: Proc Natl Acad Sci U S A Date: 2020-11-16 Impact factor: 11.205
Authors: Maria Hoyer; Alvaro H Crevenna; Jose Rafael Cabral Correia; Andrea G Quezada; Don C Lamb Journal: Biophys J Date: 2021-12-09 Impact factor: 4.033