Subscriber access provided by University of Texas Libraries Article Mechanistic Elements of Protein Cold Denaturation † Carlos F. Lopez, Richard K. Darst, and Peter J. Rossky J. Phys. Chem. B, 2008, 112 (19), 5961-5967• DOI: 10.1021/jp075928t • Publication Date (Web): 09 January 2008 Downloaded from http://pubs.acs.org on February 22, 2009 More About This Article Additional resources and features associated with this article are available within the HTML version: • • • • • Supporting Information Links to the 5 articles that cite this article, as of the time of this article download Access to high resolution figures Links to articles and content related to this article Copyright permission to reproduce figures and/or text from this article The Journal of Physical Chemistry B is published by the American Chemical Society. 1155 Sixteenth Street N.W., Washington, DC 20036 J. Phys. Chem. B 2008, 112, 5961-5967 5961 Mechanistic Elements of Protein Cold Denaturation† Carlos F. Lopez, Richard K. Darst, and Peter J. Rossky* Center for Computational Molecular Sciences, Institute for Computational Engineering and Science, and Department of Chemistry and Biochemistry, 1 UniVersity Station, A5300, The UniVersity of Texas at Austin, Austin, Texas 78712-1167 ReceiVed: July 26, 2007; In Final Form: NoVember 1, 2007 Globular proteins undergo structural transitions to denatured states when sufficient thermodynamic state or chemical perturbations are introduced to their native environment. Cold denaturation is a somewhat counterintuitive phenomenon whereby proteins lose their compact folded structure as a result of a temperature drop. The currently accepted explanation for cold denaturation is based on an associated favorable change in the contact free energy between water and nonpolar groups at colder temperatures which would weaken the hydrophobic interaction and is thought to eventually allow polymer entropy to disrupt protein tertiary structure. In this paper we explore how this environmental perturbation leads to changes in the protein hydration and local motions in apomyoglobin. We do this by analyzing changes in protein hydration and protein motion from molecular dynamics simulation trajectories initially at 310 K, followed by a temperature drop to 278 K. We observe an increase in the number of solvent contacts around the protein and, in particular, distinctly around nonpolar atoms. Further analysis shows that the fluctuations of some protein atoms increase with decreasing temperature. This is accompanied by an observed increase in the isothermal compressibility of the protein, indicating an increase in the protein interior interstitial space. Closer inspection reveals that atoms with increased compressibility and larger-than-expected fluctuations are localized within the protein core regions. These results provide insight into a description of the mechanism of cold denaturation. That is, the lower temperature leads to solvent-induced packing defects at the protein surface, and this more favorable water-protein interaction in turn destabilizes the overall protein structure. I. Introduction Globular proteins represent a complex type of condensed matter. They contain a core with solid-like packing and a surface with liquid-like characteristics, while displaying a rich array of motions that are crucial for protein function.1,2 Sufficient perturbation of the native protein environment through heating, cooling, pressurization, pH changes, or chemical denaturants will lead to a loss of the native fold and protein function.3,4 The mechanisms behind denaturation are reasonably expected to differ in these cases, and hence one can speculate that the unfolded ensembles differ as well. For example, the ensemble of structures just below the cold-denaturation temperature may not closely resemble those above the heat-denaturation point,5 and pressure-induced denaturation may differ from these.6 Cold denaturation is thought to proceed largely as a result of changes in the nature of the interaction between water and nonpolar groups.5,7,8 As temperature is decreased, the free energy penalty of the entropically unfavorable interaction between water and hydrophobes becomes smaller, leading to increased nonpolar group hydration.4,5 Hence, the global loss of tertiary structure stability reflects a weakening of hydrophobic associations. Although the thermodynamic nature of this process is very reasonable, the associated mechanical processes have not been elucidated. These processes are the focus of the present study. A large body of experimental evidence shows that globular proteins generically possess a cold unfolding temperature.3,4,5 It has been suggested that the cold unfolding of globular proteins † Part of the “Attila Szabo Festschrift”. * Corresponding author. E-mail: [email protected]. can be well described by a two-state process between a native state and a denatured state, thus implying an all-or-nothing, single-step mechanism for the collapse of protein tertiary structure, a notion that has been supported by experiments.5 For example, Gruebele and co-workers used temperature jump experiments to show that the cold unfolding of apomyoglobin (apoMB) is tightly related to the stability of the hydrophobic core formed by the A-, G-, and H-helices. At temperatures below the cold-denaturation point, the A-helix detaches from the Gand H-helices, and unfolding of the protein follows. These authors have also suggested the appearance of a “pre-transition” prior to unfolding, corresponding to the creation of a relatively conformationally loosened native state.5 A recent and important low-temperature NMR study by Wand and co-workers expands on the all-or-nothing mechanism that has been accepted for cold denaturation.7 Using micelle encapsulation to allow supercooling, Wand and co-workers showed that the cold unfolding of ubiquitin is not completely cooperative and can take place in steps. Residual structure was detected even after the cold unfolding steps had taken place, thus suggesting that the cold unfolding process does not imply complete structural loss in ubiquitin. The aforementioned experimental studies stress the importance of understanding cold denaturation as a means to extract the cooperative substructures of more complex protein systems and as a way of understanding the possible pathways leading to protein folding and stability. From a theoretical perspective, the cold-denaturation process is thought to be tightly linked to the change in affinity between nonpolar groups and water at low temperatures. At cold temperatures, the solvation of nonpolar groups in water occurs 10.1021/jp075928t CCC: $40.75 © 2008 American Chemical Society Published on Web 01/09/2008 5962 J. Phys. Chem. B, Vol. 112, No. 19, 2008 more readily.9 This change in the nonpolar-water interaction is thought to cause packing changes and the eventual break up of hydrophobic associations. Theoretical work on cold denaturation has been carried out with protein-like and reduced representation techniques using constraint models,10 mixed neighbor water bonding models,11 and lattice Monte Carlo methods12 among others. Other recent work has aimed to understand changes in hydrophobic hydration at different temperatures, with a focus on the general aspects of the phenomenon.13 These previous studies have focused on explaining the origin of the thermodynamic aspects of the cold unfolding process rather than on the actual mechanism of protein cold denaturation. Here we explore how the changes in hydrophobic hydration with temperature and protein cold denaturation are linked mechanistically at the molecular level. Extensive experimental14 and theoretical15,16 data exists describing the structural properties of apoMB, making it a wellunderstood and suitable protein for simulations such as that carried out in this work. The availability of experimental cold unfolding data from Gruebele and co-workers5 further support this choice. Given intrinsic simulation time limitations, we do not attempt to study the complete unfolding process here. Rather, we aim to probe the initial stages of the cold-denaturation process in hopes that we can observe a mechanistic description of the early events in the cold unfolding process. To this end, molecular dynamics (MD) simulations of sperm whale (Physeter catodon) apoMB were carried out at 310 K and 278 K. The former temperature lies within the experimental temperature range of the protein within its native environment, while the latter is chosen to be slightly above the experimental cold unfolding temperature range of 263-276 K.5 The paper is organized as follows. The Methods section contains detailed information about our simulation protocol and analysis methodology. This is followed by the Results and Discussion section in which we examine our results and further comment on their significance. The Concluding Remarks section follows, where a summary of the findings and their possible impact is discussed. II. Methods In this section we describe the details of the calculations carried out, including elements of the structural preparation, simulation protocols, and analysis tools. A. Apomyoglobin Structure. The structure of apoMB and holomyoglobin (holoMB) are very similar. Besides the obvious absence of the prosthetic group, apoMB has a somewhat lower helical content17 and a slightly increased radius of gyration relative to the holoprotein.18 However, the tertiary structure of the apoprotein appears to be largely preserved when compared to the holoprotein.14 The apoprotein differs from the holoprotein by an EF-F-FG region that is not well resolved via NMR measurements and is thus thought to exhibit large spatiotemporal variations in solution.14 Decreased secondary structure near the C-terminus of the H-helix is also observed in the apoprotein. Since no three-dimensional structure exists for apoMB in the protein data bank (PDB), it was necessary to carry out some preliminary MD simulation to allow the protein to evolve to a structure representative of its apo state. The holoprotein neutron structure19 (PDB ID: 1CQ2; pH 6.2) was downloaded from the PDB. The pH, and the corresponding protonation state of histidine in particular, is important to the unfolding behavior of this protein, and this pH value is close to that (pH 5.9) where the bulk of the cold unfolding experiments in ref 5 were carried out. The protonation state of residues was fixed throughout the Lopez et al. simulations, as that reported with this neutron structure. A table of the precise protonation states and corresponding force field designations for these residues is provided as part of the Supporting Information. The heme was removed, and the protein was solvated by 31 060 water molecules in a periodic box with edges measuring 100 Å. Seven water molecules at least 15 Å away from the protein were replaced by negatively charged chloride ions using the “autoionize” utility of the VMD molecular manipulation package to balance out the protein charges. The protein was then held fixed, and a short minimization was carried out to relieve bad contacts between molecules. All constraints were then removed, and the system was run for almost 2 ns at a temperature of 510 K to accelerate relaxation of the system toward the apoprotein conformation. The protein was then allowed to relax at 310 K for another 1 ns before the production simulations were run. The final structure of apoMB used in the present study has a disrupted secondary structure in the EF-F-FG region, exhibits a loss of secondary structure near the C-terminus of the H-helix, and has a ∼55% helical content, as calculated with the DSSP20 program. The helical content of the apoprotein for the present simulation runs compares favorably with the measured experimental helical content of ∼55% for apoMB.17 For reference, the holoprotein has been measured to be composed of an ∼78% helical structure.17 We also calculate the root-mean-square deviations (RMSDs) of the protein and of individual secondary structure protein segments relative to its average structure during the run to measure the structural fluctuations of the protein structure during simulation (data not shown). All secondary structure segments of the protein, excluding the EF-F-FG region (5 Å), the C-terminus region of the H-helix (7 Å), and the B-helix (3.5 Å), exhibit an RMSD value of 2 Å or less. The experimental radius of gyration18 is 19 Å. This value compares satisfactorily with the simulation average radius of gyration of 16 Å, when one considers that experiments appear to overestimate the value of the radius of gyration by about 2 Å.18 The distance between fluorophores in the A- and G-helices has been reported21 to be 24 Å for horse apoMB and has been shown to be of similar magnitude for the holo and apo forms of the protein. We measure the average A-helix to G-helix distance at 22 Å for the present apoMB structures. This value compares favorably with the PDB myoglobin distance of 22.7 Å.19 The present data indicates that the apoMB structure employed in the present simulation study compares well with that reported in previous experiments for apoMB. B. Simulations. B.1. Production Runs. Two production simulations were run for the apoprotein. The first was run at 1 atm pressure and 310K for 1.1 ns (following the relaxation process described above). The last 1 ns of the run was used for analysis with structures collected every 1 ps for a total of ∼103 structures. A second simulation, with a starting structure taken from the end of the relaxation simulation described above, was run at 278 K and 1 atm pressure for 2 ns. The last 1 ns (∼103 structures) was used for analysis. We provide, as three figures in the Supporting Information, results for the energy and local structure in each of these production runs, demonstrating the stability of these simulations and showing that the analysis represents that of a state that is sufficiently steady on this time scale. B.2. Simulation Protocols. All the protein simulations were performed with the NAMD (v. 2.5)22 program and using the CHARMM (v. 27)23 force field for the protein and SPC/E24 model for water. Protein manipulations and illustrations were prepared with the VMD (v. 1.8.3) program, and with our in- Mechanistic Elements of Protein Cold Denaturation J. Phys. Chem. B, Vol. 112, No. 19, 2008 5963 house mp3 analysis package.25 The temperature and pressure were controlled using the Langevin thermostat and the NoseHoover Langevin piston, respectively, as implemented in NAMD. Nonbond short-range terms were included using a 12 Å cutoff with a smooth switching function starting at 10 Å. The particle mesh Ewald method was used to include longrange electrostatic interactions. The mesh spacing was kept near 1 Å in each direction throughout the simulation runs. To increase the efficiency of the simulations, the RESPA multiple time step integrator scheme was used,26 with an inner step of 1 fs, a nonbonded time step of 2 fs, and an outer time step of 4 fs. The SHAKE algorithm was used to constrain the geometry of water molecules. The total system for the production runs contained 95 630 atoms. C. Simulation Analysis. C.1. Isothermal Compressibility. The isothermal compressibility (IC) is directly linked to density fluctuations in a material. Correspondingly, the rigidity of packing in a material, including a protein, is reflected in the compressibility, as exploited by Dadarlat and Post.31 A suitable definition of a local compressibility can be constructed as well. The IC was calculated using the formalism described in ref 31, with the difference that the volumes associated with each atom were calculated using a Voronoi tessellation procedure as described by Gerstein27 and employing “method 2” in the program distributed from the Gerstein laboratory. The IC in the isothermal-isobaric ensemble is given by31 IC ) 〈∆V2〉NPT/kBT〈V〉NPT (1) In order to calculate the IC, the average and variance of the protein (or protein segment) volumes must be obtained. To calculate the protein volumes, the volume of each protein atom and neighboring water (within 15 Å from the protein) was estimated by using one Voronoi cell per atom. The volume associated with protein atoms was then summed to estimate the total volume of the protein segment. This procedure was repeated for each simulation frame. The volume average and variance were then estimated from the obtained volume data. A local isothermal compressibility difference (ICD) for clusters is calculated as follows: A 3 Å cluster of atoms is defined around each atom in the protein at time zero of the analysis trajectory. The IC of each cluster is then calculated both at 310 K and at 278 K. The difference yields ICD ) IC278K - IC310K, where the subscripts indicate temperature. This allows us to estimate the local change in IC in the protein in going from the high temperature to the low temperature. C.2. SolVent Contacts. A solvent contact is defined by a water molecule that is within a specified distance cutoff (rcut). We use rcut ) σO + 0.5σA, where σO, denotes the Lennard-Jones sigma value for the SPC/E water oxygen,28 and σA denotes the sigma value from the CHARMM force field29 for the protein atom type being tested. Atoms are further classified into polar or nonpolar on the basis of their force field charge value. Atoms with |q| > 0.29 are classified as polar, while the remainder are classified as nonpolar. All values reported are averaged over the last 1 ns of the production runs at 278 K and 310 K. C.3 Root-Mean-Square DeViation. The RMSD is calculated in the usual manner, relative to the average structure of the protein during the simulation run. The average structure for each simulation run is calculated by aligning all protein atoms to a reference structure (here, the first structure in the trajectory). The alignment is performed by minimizing the RMSD score of each protein structure in the trajectory using the simplex minimization method.30 The protein is translated and rotated while keeping the overall protein structure rigid until the RMSD Figure 1. (A) Sum of SCD by atom type (atoms with charge, |q| > 0.29e are defined as polar and marked with “*”); (B) rRMSDd by protein atom (see text; the red line at -0.053 indicates the expected decrease for a harmonic oscillator). between the reference structure and the aligned structure has reached a minimum. Once all the frames in the trajectory have been aligned, the average structure is found by determining the average position for each atom in the protein. C.4. RelatiVe RMSD Difference. The relative RMSD difference (rRMSDd) is defined as follows: the RMSD, 〈∆x2〉1/2, is calculated for each atom as described above at 278 K and 310 K for each atom. The ratio of the difference between the two temperatures and the initial temperature is then evaluated to give rRMSDd ) (〈∆x2〉278K1/2 - 〈∆x2〉310K1/2)/〈∆x2〉310K1/2 (2) where the subscripts indicate the corresponding temperatures for the calculation. These mean square displacements per atom are calculated from the last 1 ns of data from the 278 K and 310 K simulations. The relationship in eq 2 has the convenient property that, for a classical harmonic system, it is only a function of temperatures, namely ∆T/T. III. Results and Discussion A. Solvation. To test the extent of solvation change, we proceed to calculate the protein-water solvent contacts at both 278 K and 310 K as discussed in the Methods section. We 5964 J. Phys. Chem. B, Vol. 112, No. 19, 2008 Lopez et al. Figure 2. Representative snapshots indicative of the observed increase in the number of solvent contacts around the hydrophobic side chain moieties of Arg45 (top row) and Val114 (pink, bottom row) when changing the temperature from 310 K (left column) to 278 K (right column). Atom colors: carbon, cyan; oxygen, red; nitrogen, blue; water oxygen, yellow. Hydrogen not shown for clarity. A cavity that could accommodate three water oxygen atoms at 310 K (top left) can accommodate five water oxygen atoms at 278 K (top right). A previously buried Val moiety at 310 K (bottom left) becomes solvent exposed at 278 K (bottom right). consider the solvent contact with individual protein atoms first. To quantify the change, we group these by atom type, and plot the solvent contact difference (SCD) as shown in Figure 1A. The value is the sum over all examples of each atom type in the protein. The nonpolar hydrogen (HA), as well as the aliphatic type carbon atoms (CT1, CT2, CT3), and the aromatic carbon (CA) exhibit an increase in the number of solvent contacts ranging from 28 to almost 100. Peptide bond atoms (C, NH1, and O) show an increase of 16-20 solvent contacts per atom type. It is worth noting that the observed changes in solvent contacts appear to occur very rapidly, during the first ∼50 ps following the temperature drop. This provides numerical evidence that, as anticipated, water molecules have an increased probability of contact with the nonpolar protein moieties at lower temperature, in contrast to polar side chain moieties. The total number of solvent molecules hydrating the protein exhibits only a modest increase (∼15 gained) upon cooling, but distinct changes are evident for individual protein moieties. An example is shown for Arg45 in Figure 2. At 310 K, the guanidinium group of Arg45 is fully solvated, but the aliphatic chain of Arg45 is buried within a hydrophobic pocket. At the lower temperature, a snapshot from the end of the simulation manifests water molecules contacting atoms previously inaccessible within this hydrophobic pocket. As a second example, the extent of hydrophobic hydration of Val114 at the low temperature is depicted in Figure 2. The hydrophobic amino acid Val114 resides within a hydrophobic pocket at the higher temperature and is almost completely inaccessible to water contact. At the lower temperature, Val114 is no longer sequestered in the hydrophobic pocket and becomes solvated by water molecules. Water molecules therefore evidently modify contacts between surface hydrophobic moieties at the protein-water interface at the low temperature. B. Structural Fluctuations. Given the observed changes at the interface, we now aim to understand whether and how these changes affect the protein structural fluctuations. Following the reasoning of Post and co-workers,31 the relative stabilization of the protein hydrophobic group-water interfacial interaction could lead to a lowered surface tension and increased protein spatial fluctuations. Given that there is a relation between the change in interstitial space (i.e., in the number density) and the compressibility and, as evidenced by Post and co-workers,31 a correlation between protein structural stability and compressibility, we shift our attention to examine these aspects below. To understand these mechanical aspects, we first consider the rRMSDd as described in the Methods section. The rRMSDd is the difference between the time averaged root-mean-square displacement per atom at the low temperature and the high temperature, normalized by the high-temperature simulation. This quantity provides the fractional change in the atomic RMSD. As a point of reference, we include this quantity for a harmonic oscillator; the rRMSDd for such an oscillator is -0.053. That is, we might expect a 5.3% decrease in the RMSD in going from 310 K to 278 K. The calculation of the rRMSDd Mechanistic Elements of Protein Cold Denaturation J. Phys. Chem. B, Vol. 112, No. 19, 2008 5965 Figure 3. The IC of myoglobin and its secondary structural components at 310 K (red dots) and 278 K (black dots). The E-helix, G-helix, A-core, G-core, and AGH-core sections, along with the whole protein exhibit an increase in IC upon cooling. per atom is shown in Figure 1b. Atoms with rRMSDd values above the harmonic oscillator reference line (∼130 atoms in total) exhibit larger-than-expected fluctuations at the lower temperature. Given the thermal energy decrease in going to the low-temperature simulation, an increase in some protein atom fluctuations is particularly notable. We further characterize the internal motions of the protein by measuring the Lindemann criterion for apoMB at the high and low temperatures. The Lindemann criterion (∆L) was originally defined for crystals by comparing the atomic fluctuation amplitudes to the lattice constant of the crystal. The ratio can then be used to characterize the structure as solid-like or liquid-like.1 A ∆L less than 0.1 is typical of solid crystal structures, while a ∆L value greater than 0.1 is characteristic of melting. The approach has been used to characterize the state of a protein.1 We follow the procedure described in previous work by Zhou et al.1 to calculate ∆L for apoMB from both the high- and low-temperature simulations. We find that, even at the low temperature, the protein core is still solid-like (∆L ) 0.09 < 0.1), and the exterior is liquid-like (∆L ) 0.14 g 0.1). The ∆L values obtained in the present simulations are in good agreement with those obtained in ref 6 for several proteins, even at the low temperature. We do not observe, in this simulation, indications of protein core melting based on the calculation of ∆L, and one should not expect to if the simulated temperature corresponds to experiment. The previous analysis leads us to consider the changes in the protein interstitial space. Unless motions are highly concerted, an increase in interior atomic fluctuation amplitudes must necessarily be accompanied by an increase in free space. Previous work31 has postulated that favorable interactions at the interface will result in a lowered barrier to protein volume fluctuations and therefore an observed increase in density fluctuations or IC.31 Given the observed more favorable contact between water and nonpolar groups at the low temperature, we quantify the change in protein interstitial space more closely. We report the IC for the 310 K apoMB simulation and the 278 K apoMB simulation in Figure 3 for the whole protein and different components of the protein secondary structure, including the AGH-core region and its secondary structure components. The volume of apoMB remains essentially constant with an ∼1% volume decrease upon cooling. When considering the IC of individual secondary structure elements of apoMB, only the G-helix exhibits an increase in compressibility. However the changes in the compressibility for the whole protein, for the AGH-core as a whole, and for the core segments of the A- Figure 4. RDFs for atoms grouped by (A) their fractional RMSD difference relative to the COM; (B) their change in IC; (C) distribution of atoms in groups relative to each other. and G-helices do exhibit an increase. The overall change in the protein compressibility confirms that there is an increase in the internal atomic fluctuations. This increase in the core region is suggestive of a developing mechanical instability in this region. The observed IC increase in the apoMB core region upon cooling appears to correlate well with the observations by Gruebele and co-workers,5 suggesting that a breakdown of the AGH-core region is a key step in cold denaturation of apoMB. We clearly see indications of reduced stability in this core region in our results. To visualize the local changes within the protein more clearly we consider the IC for spherical volume elements of 3 Å radius centered about each heavy atom. We observe that ∼90 volume elements display increased IC upon cooling. More quantitatively, we first explore the spatial distribution of elements with increased IC and atoms with increased rRMSDd upon cooling through radial distribution functions (RDFs) relative to the protein center of mass (COM) as shown in Figure 4A,B. As shown, atoms with increased rRMSDd upon cooling tend to be located closer to the COM of the protein than an average atom, indicating prevalence in the core region of the protein. Figure 4B depicts RDFs for atom centers 5966 J. Phys. Chem. B, Vol. 112, No. 19, 2008 Lopez et al. loosened, more highly fluctuating native state,5 is consistent with the mechanism outlined here. A more thorough study of cold denaturation including a sequence of temperatures spanning the transition point would clearly be of interest. Work along these lines is being pursued in our laboratory. Particularly interesting parallel investigations are the examination of similarities and differences between thermal (cold- or heat-induced) denaturation and pressureinduced denaturation. For the latter, the leading hypothesis for the mechanism6 involves, as an initial step, solvent penetration between native hydrophobic contacts. Denaturation could then proceed mechanistically similarly to that described here for cold denaturation. Work along these lines is being pursued in our laboratory. Figure 5. Front view (A) and side view (B) of the averaged apoMB structure from MD simulations at 278 K. The yellow dots represent atoms (hydrogen not shown for clarity) that have increased fluctuation amplitudes upon cooling. The semi-transparent blue spheres are centered on 3 Å radius regions of the protein with increased local IC upon cooling (see text). Ovals highlight core regions of the protein that possess increased compressibility and increased motions upon cooling. classified based on their ICD upon cooling. A pattern similar to that seen in panel A is seen; atoms with increased ICD are located near the COM of the protein, again indicating prevalence in core regions. Figure 4C depicts the RDF for atoms with increased ICD with respect to those with increased rRMSDd. As shown, these atoms tend to exist near each other, thus indicating that atoms with increased positional fluctuations are in fact near the loci of increased compressibility. To complement the RDF data, we depict atoms with increased ICD and increased rRMSDd on the protein structure in Figure 5. As shown by the RDFs, these atoms tend to reside both near the core of the protein and in close proximity to each other. We see clear evidence of increased fluctuations developing between the Gand H-helices, near the AGH-core, and near the C-terminus end of the H-helix where it comes in contact with other helices and the heme group in the holoprotein. The images clearly show that regions with increased compressibility and regions containing atoms with increased positional fluctuations are in close proximity. On the basis of the graphic, it is also possible to visually confirm that atoms with increased fluctuations do not lie near the solvent-accessible surface. IV. Concluding Remarks We conclude by discussing the mechanistic elements for cold unfolding of globular proteins that can be inferred from the data presented in this work. When the temperature is lowered, there is an enhancement of hydrophobic group solvation. This causes packing changes at the water-protein interface, as water penetrates interstitial spaces at the interface. A lowered free energy penalty for protein interior structural fluctuations is observed in concert. We infer that internal fluctuations are a direct result of the peripheral penetration of water and can lead to the development of mechanical instability within the protein core and an eventual breakdown of tertiary associations. As such, the breakdown of the protein would occur in steps, depending on the relative stability of individual hydrophobic protein core contacts. In the case of a small protein with a single core region, such as apoMB, the unfolding would take place in a single step. Previous observations of single5 or multiple step7 denaturation events are therefore compatible with this interpretation of a denaturation mechanism. The proposal of a “pre-transition” prior to unfolding, corresponding to the creation of a conformationally Acknowledgment. We are grateful for generous grants from the NSF Collaborative Research in Chemistry Program (CHE0404695), the R. A. Welch Foundation (F-0019), as well as for computational support of the Texas Advanced Computing Center. C.F.L. acknowledges the useful insight of Profs. Alexander D. Mackerell and Steve O. Nielsen during the course of this work. Supporting Information Available: Total, potential and kinetic energies of the 1 ns production segments of the apoMB simulations; RMSDs of segments of the apoprotein vs time; protonation state of HIS in the simulated apoMB. This material is available free of charge via the Internet at http://pubs.acs.org. References and Notes (1) Zhou, Y.; Vitkup, D.; Karplus, M. J. Mol. Biol. 1999, 285, 1371. (2) Frauenfelder, H.; Petsko, G. A.; Tsernoglou, D. Nature 1979, 280, 558. (3) Smeller, L. Biochim. Biophys. Acta 2002, 1595, 11. (4) Privalov, P. L. Crit. ReV. Biochem. Mol. Biol. 1990, 25, 281. (5) Sabelko, J.; Ervin, J.; Gruebele, M. J. Phys. Chem. B 1998 102, 1806. Ervin, J.; Larios, E.; Osvath, S.; Schulten, K.; Gruebele, M. Biophys. J. 2002, 83, 473. 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