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Protein Dynamics and Biological Water--2DIR Vibrational Echo Spectroscopy
Proteins and enzyme are dynamical structures. The biological function of
proteins is intimately linked to the ability of proteins to undergo
structural changes. A folded protein with a particular structure occupies a
minimum on its free energy landscape. However, the minimum is frequently a
local minimum. Other minima of similar energy can also exist (see figure
10). When a protein occupies any one of these minima, it has a distinct
structure. The different structures are substates of the folded protein.
Transitions from one minimum to another correspond to dynamical changes in
the protein’s structure that take the protein from one substate to another.
Under thermal equilibrium conditions there will be continual conformational
switching among substates. In addition to interconversion between substates,
proteins undergo continuous structural fluctuations within a particular
substate minimum. These fluctuations occur because of transition among
shallow minima no the rough energy landscape near a local structural minimum
(see figure 10). Such fluctuations within a substate minimum give rise to
processes such as small ligand “diffusion” through a protein to an active
site.

The ability of proteins to undergo conformational change is central to
protein function. When an enzyme binds a substrate, the protein conformation
will change. On the path of protein folding, a protein will sample many
conformations as it progresses toward the native folded structure. Proteins
can undergo large global conformational changes, which occur on long time
scales, milliseconds to seconds. However, these large slow conformational
changes, such as those that occur following substrate binding to an enzyme,
involve a vast number of more local elementary conformational steps.
We are using ultrafast 2D IR vibrational echo spectroscopy as well as other
methods to study protein dynamics, structure, and interactions. In addition
to the study of biomolecules, we are also investigating biological water.
The experimental determination for the time scale of elementary
conformational steps (switching from one structural conformation to another)
is a long standing problem that we are now been successfully addressed using
ultrafast 2D-IR vibrational echo chemical exchange spectroscopy, which was
discussed in the Chemical Exchange Dynamics – Solute Solvent Complexes and
Other Systems section.

The problem of multiple substates has been studied
extensively for the protein myoglobin with the ligand CO bound at the active
site (Mb-CO). The infrared spectrum of the heme-ligated CO stretching mode
of Mb shows two major absorption bands, denoted A1 (1945 cm-1), and A3 (1932
cm-1) as shown in the upper right portion of figure 11. Mb-CO interconverts
between these two conformational substates under thermal equilibrium
conditions. The distal histidine, His64, plays a prominent role in
determining the conformational substates of Mb. We studied a Mb mutant, L29I
(leucine replaced by an isoleucine). The structure and the CO absorption
spectrum of L29I-CO are shown in the left hand portion of figure 11. The
replacement of leucine with isoleucine makes the A1 and A3 CO bands almost
equal in amplitude. Changes in the configuration of the E helix (see figure
11) cause the distal histidine’s imidazole side group to move relative to
the CO (see lower right portion of figure 11). The lower frequency of A3
compared to A1 reflects a closer proximity of the protonated epsilon
nitrogen of the imidazole side group to the CO in A3. Each A substate
exhibits a distinct ligand binding rate. Therefore, the peaks in the FT-IR
spectrum of Mb-CO and L29I-CO reflect functionally distinct conformational
substates.

Figure 12 displays 2D-IR spectra of CO bound to L29I at
several Tws. This data on proteins is equivalent of the chemical exchange
data shown in figures 2 and 3 for solute-solvent complex chemical exchange.
The red bands are positive going and correspond to the 0-1 vibrational
transitions. The blue bands (negative going) are from the 1-2 transition.
For Tw = 0.5 ps, only the two diagonal peaks are observed. These correspond
to the A1 and A3 bands in the FT-IR spectrum shown in figure 11. As Tw
increases, the off-diagonal chemical exchange peaks grow in. By Tw = 48 ps
the off-diagonal bands are readily apparent. The band to the upper left in
the Tw = 48 ps panel is strong. In contrast to figure 2, because the
anharmonicity is not large, the negative going 1-2 diagonal band partially
overlaps the positive going off-diagonal chemical exchange peak to the lower
right of the two 0-1 diagonal peaks, reducing its amplitude.
The peak volumes were fit, and both the positive (0-1) and negative (1-2)
peaks were included in the analysis. The result is a plot like that shown in
figure 3. The results of the fitting yield the protein structural substate
switching time, ts = 47 ps ± 8 ps. These experiments are the first
measurement of the time dependence of a single well defined elementary
protein structural change.
When a protein experiences a perturbation such as substrate binding or a
temperature jump that induces folding or unfolding, in accord with linear
response, it will respond to the perturbation by fluctuation driven
elementary steps (substate changes) that can occur in the absence of the
perturbation. However, the sampling of the substates will be biased by the
perturbation, and the protein will relax to a new structure. The protein is
always executing a multidimensional walk among substates. The walk will be
skewed by the perturbation. The skewing can result from the shifting of
substate minima and barriers. The relaxation to the new structure can be
slow because it requires many elementary steps. A slow response to a
perturbation results from structural fluctuation sampling that produces
elementary steps, which in turn combine to produce major restructuring. The
results shown here provide the time scale for the elementary steps.
In addition to chemical exchange spectroscopy, we are using 2D IR
vibrational echo experiments to study protein dynamics through measurements
of spectral diffusion. In a 2D IR vibrational echo chemical exchange
experiments, the interconversion between two (or more) distinct structures
is manifested by the appearance of off-diagonal peaks (see figure 2). When
there are a vast number of structures sampled because of transitions on the
rough protein energy landscape (see figure 10), the frequency of the
vibrational transition under observation will evolve in time. It will take
on many values as the protein samples many different structures. The time
dependence of the transition frequency is called spectral diffusion.
Spectral diffusion is manifested by the time dependence of the 2D IR
vibrational echo line shapes.
One example of our studies of protein dynamics using 2D IR vibrational echo
spectral diffusion measurement is the influence of substrate binding on the
structural dynamics of an enzyme, in this case horseradish peroxidase (HRP).
Enzyme-substrate binding is a dynamic process that is intimately coupled to
protein structural fluctuations. A complete description of protein-ligand
interactions requires information on the modification of protein dynamics
when a ligand binds.
HRP is a type III peroxidase family glycoprotein that oxidizes a variety of
organic molecules in the presence of hydrogen peroxide as the oxidizing
agent. HRP has proven to be amenable to protein engineering and its
reactivity towards a wide variety of organic substrates has made it of
intense interest in bio-industrial and enantiospecific catalysis
applications.
The active site of HRP is comprised of a solvent exposed iron heme
prosthetic group (see figure 13) that participates in the enzymatic
catalysis cycle. The heme can bind carbon monoxide (CO), which we us as a
site specific reporter of protein structure and dynamics. The time
dependence of the CO transition frequency measured using 2D IR vibrational
echoes is a spectroscopic reporter of protein structural fluctuations. One
of the five small molecule substrates that are benzhydroxamic acid analogs
that we have studied will be discussed here.
 
Figure 14 shows the background subtracted linear spectra of HRP-CO without a
ligand (top panel) and ligated with BHA. With a ligand, the spectrum changes
from two peaks to a single peak centered at 1909 cm-1.97, 98 Spectra with
four other substrates show that the ligated HRP spectra are spread around
the frequency of the unligated HRP red state (lower frequency peak) and are
significantly lower in frequency than the blue unligated state.
 
Figure 15 shows the 2D vibrational echo spectra of the free form of HRP-CO
at several times (Tws,10% contours). The two positive going bands on the
diagonal correspond to the two peaks in the linear IR spectrum shown in
figure 14 top panel The two off-diagonal negative going bands arise from the
two associated 1-2 transitions. As Tw increases, the peaks become more
symmetrical. It is the change in shape with time that provides the dynamical
information. The low frequency band has a significantly shorter vibrational
life time that give rise to its decrease in amplitude relative to the higher
frequency band by Tw = 32 ps. The full data sets contain much finer
gradations and the signals can be analyzed at the longest Tws.
Figure 16 top shows a measure of the shape of the spectrum as a function of
the time, Tw lower frequency peak of free HRP-CO. This is the peak that
closely corresponds to the single peak in the IR absorption spectrum when a
substrate is bound (see figure 14). The bottom panel shows the shape change
with the BHA substrate bound. Thorough theoretical analysis of this data
provides quantitative information on the change in dynamics with substrate
binding. Lines through the data are obtained from the full 2D-IR
calculations that determine the dynamics. The detailed analysis has been
published. It is clear from the data that there is a substantial change in
HRP’s structural fluctuations when a substrate is bound. The dynamics slow
considerably and the time scale of the fluctuations are moved to long times.
The detailed analysis of the data and comparison to similar experiments on
myoglobin and myoglobin mutants indicate that the change the observed
spectral diffusion is caused by changes in the motions of the distal
histidine (His 42) and distal arginine (Arg 38) (see figure 13). When the
substrate is bound, the distal histidine and arginine are effectively locked
up. There motions on the tens of picosecond time scale are greatly reduced.
We are using protein spectral diffusion measurements in a variety of
contexts. We are studying the influence of protein unfolding on protein
structural dynamics by examining spectral diffusion using denaturants to
produce different partially unfolded protein states. We are also using
spectral diffusion measurements to understand structural changes in protein,
such as the disruption of a disulfide bond. In addition, we are studying
biological water, that is, water in well defined biological environments
such as the surfaces of model membranes. The boundary between a living cell
and its surroundings is the plasma membrane with a thickness ranging from
7-10 nm. This nanoscale structure is primarily composed of phospholipids and
embedded proteins. The membrane controls the flow of materials into and out
of a cell, and it senses and controls the response of cells to hormones and
other external signals. Biological membranes have a basic bilayer structure
where the nonpolar chains of the phospholipids form the interior of a
molecular bilayer. The organization of phospholipid bilayers and water is
important because lipid-water interactions play a key role in native
membrane functioning, stability of bilayers, water permeation, and
fusion-related repulsive forces between bilayers. As discussed in the
Dynamics of Water and Nanoscopic Water section, we are using 2D IR
vibrational echoes and polarization selective IR pump-probe experiments to
directly examine the dynamics of structure in nanoscopic environments. In
addition to water at the surfaces of membranes, we are also interested in
water-protein interactions.
Protein Dynamics and Biological Water 2D IR Vibrational Echo Spectroscopy
306. “Myoglobin-CO Substate Structures and Dynamics:
Multidimensional Vibrational Echoes and Molecular Dynamics Simulations,” Kusai A. Merchant, W. G. Noid, Ryo Akiyama, Ilya Finkelstein, Alexei Goun,
Brian L. McClain, Roger F. Loring, and M. D. Fayer, J. Am. Chem. Soc. 125,
13804-13818 (2003).
320. “Dynamics of Hemoglobin in Human Erythrocytes and in Solution:
Influence of Viscosity Studied by Ultrafast Vibrational Echo Experiments,”
Brian L. McClain, Ilya J. Finkelstein, and M. D. Fayer, J. Am. Chem. Soc.
126, 15702-15710 (2004).
341. “Dynamics of Proteins Encapsulated in Silica Sol-gel Glasses Studied
with IR Vibrational Echo Spectroscopy,” Aaron M. Massari, Ilya J.
Finkelstein, and M. D. Fayer, J. Am. Chem. Soc. 128, 3990-3997 (2006).
347. “Viscosity Dependent Protein Dynamics,” Ilya J. Finkelstein, Aaron M.
Massari, and M. D. Fayer, Biophys. J. 92, 3652-3662 (2007).
355. “Substrate Binding and Protein Conformational Dynamics Measured via
2D-IR Vibrational Echo Spectroscopy,” Ilya J. Finkelstein, Haruto Ishikawa,
Seongheun Kim, Aaron M. Massari, and M. D. Fayer Proc. Nat. Acad. Sci. 104,
2637-2642, (2007).
366. “Neuroglobin Dynamics Observed with Ultrafast 2D-IR Vibrational Echo
Spectroscopy,” Haruto Ishikawa, Ilya J. Finkelstein, Seongheun Kim, Kyungwon
Kwak, Jean K. Chung, Keisuke Wakasugi, Aaron M. Massari, and M. D. Fayer
Proc. Nat. Acad. Sci. U.S.A. 104, 16116-16121 (2007).
367. “Disulfide Bonds’ Influence on Protein Structural Dynamics Probed with
2D-IR Vibrational Echo Spectroscopy,” Haruto Ishikawa, Seongheun Kim,
Kyungwon Kwak, Keisuke Wakasugi, and M. D. Fayer Proc. Nat. Acad. Sci.
U.S.A. 104, 19309-19314 (2007).
372. “Direct Observation of Fast Protein Conformational Switching,” Haruto
Ishikawa, Kyungwon Kwak, Jean K. Chung, Seongheun Kim and M. D. Fayer Proc.
Nat. Acad. Sci. U.S.A. 105, 8619-8624 (2008).
373. “Native and Unfolded Cytochrome C – Comparison of Dynamics using 2D-IR
Vibrational Echo Spectroscopy,” Seongheun Kim, Jean K. Chung, Kyungwon Kwak,
Sarah E. J. Bowman, Kara L. Bren, Biman Bagchi, and M. D. Fayer J. Phys.
Chem. B ASAP (2008).
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