Thermodynamics of Hydration Water around an Antifreeze Protein: A

Article Cite This: J. Phys. Chem. B 2017, 121, 9498-9507

pubs.acs.org/JPCB

Thermodynamics of Hydration Water around an Antifreeze Protein: A Molecular Simulation Study Hari Datt Pandey and David M. Leitner* Department of Chemistry and Chemical Physics Program, University of Nevada, Reno, Nevada 89557, United States

Downloaded via KAOHSIUNG MEDICAL UNIV on September 28, 2018 at 14:00:46 (UTC). See https://pubs.acs.org/sharingguidelines for options on how to legitimately share published articles.

S Supporting Information *

ABSTRACT: We investigate by molecular simulations thermodynamic properties of hydration water and protein, the sensitivity of hydrogen bonds to change in temperature, and hydration water distribution at varying levels of hydration of a hyperactive antifreeze protein, DAFP-1. Hydration water coverage of the protein and partial thermodynamic properties of the hydration water are heterogeneous, different for the water near the ice-binding site (IBS) and the rest of the protein, particularly at low levels of hydration. Overall, we find the partial specific heat of water to be larger at low hydration levels than in the fully hydrated limit, with the separation corresponding roughly to one hydration layer. Differences in the specific heat in the low- and fully hydrated regions are accounted for by the varying sensitivity of water−water and water−protein hydrogen bonds to change in temperature as a function of hydration, most strikingly near the IBS. Using values computed for the specific heat, we estimate the partial entropy of the water and protein. We find the partial entropy of DAFP-1 to be greater in the fully hydrated limit than at low levels of hydration, whereas the partial entropy of water is somewhat smaller. water to converge to their values in the dilute solution limit.46 A computational study of thermodynamic properties of hydrated bovine pancreatic trypsin inhibitor (BPTI) yielded qualitatively similar results.47 The convergence for such low levels of hydration is consistent with a percolation model, whereby a threshold corresponding roughly to a percolation network is needed for long-range coverage that yields protein plasticity and thermodynamic properties required for function.32,48,49 However, the origin of differences between partial specific heats of water in the limit of low hydration and for fully hydrated systems remains unclear and is something that we address in this computational study. AFPs have highly heterogeneous surfaces, part of which is involved in ice binding.50 Effects of that heterogeneity have been seen, for example, in computational studies of the dynamics of hydrogen bonding between water molecules near the surface.33,34,51 We examine where water tends to aggregate and the extent to which partial thermodynamic properties can be associated with distinct regions of the AFP. In our computational study of hydration thermodynamics, we consider a hyperactive AFP from the fire-colored beetle Dendroides canadensis, DAFP-1, shown in Figure 1. AFPs, or ice-binding proteins, enable a variety of organisms to survive in cold climates via thermal hysteresis activity.52 Hyperactive insect AFPs such as DAFP-1 are right handed β-helical proteins with nearly identical 12- or 13-amino acid repeats.53−55 One

1. INTRODUCTION Longstanding interest in the nature of hydration water around proteins is due in part to the many properties of protein and water that are strongly coupled.1−28 The importance of protein−water coupling has led to many investigations exploring the relation between hydration water coverage and protein plasticity and function.29−32 Numerous experimental and computational studies, focusing mainly on dynamics and function, have revealed that protein properties found in dilute protein solution are exhibited with as little as about one hydration layer around the protein.32 We address here the thermodynamic properties of an antifreeze protein (AFP) and its hydration water by molecular simulations. The motivation for this study is fourfold. For the AFP we study, there is a region, the ice-binding site (IBS), which is distinct from the rest of the protein. As a result, simulations of hydrogen bond dynamics reveal differences near the IBS and elsewhere33,34 and perhaps there are thermodynamic differences, too. A second property we examine is the origin of the specific heat of the hydration water, in particular contributions of hydrogen bonds between water molecules and those between water and the protein. A third property we consider is heterogeneity in the distribution of water as the protein is hydrated. Finally, large hydration layers have been detected for solvated AFPs by terahertz (THz) spectroscopy,33,35−37 larger than those for other solvated biomolecules.38−45 We would like to examine if there is any parallel in the thermodynamic properties. Early calorimetric measurements of hydrated lysozyme powders revealed that about a layer of water molecules is sufficient for the partial specific heats of protein and hydration © 2017 American Chemical Society

Received: June 15, 2017 Revised: September 19, 2017 Published: September 21, 2017 9498

DOI: 10.1021/acs.jpcb.7b05892 J. Phys. Chem. B 2017, 121, 9498−9507

Article

The Journal of Physical Chemistry B

goal to explore how bulk properties emerge from finite systems. The volume of the cluster remains essentially constant as long as there is no evaporation from the cluster. Our calculations are carried out with this approach. We shall see that although there are some quantitative differences in values of the thermodynamic properties of the water cluster compared to those of the bulk, the qualitative trends we find for the hydrated protein are the same as those in calorimetric studies of protein powders46 and quantitative differences are small. For example, we find the weight fraction protein where partial thermodynamic properties reach their fully hydrated limit to be similar to values found for other proteins by experimental measurements of hydrated proteins.62−64 Moreover, we explore the origin of differences in the partial specific heats in the low and fully hydrated limits, with focus on the sensitivity of water−water and water−protein hydrogen bonds to change in temperature as a function of protein hydration. In previous computational work on DAFP-1, distinct dynamics of water near the IBS was found compared to water elsewhere around the protein, and differences were found in the vibrational density of states of the water.33,51 The variability over different regions is similar to that seen in earlier computational studies of other proteins.65,66 The IBS of DAFP1 contains only hydrophobic and noncharged polar side chains; all of the charged groups lie on the non-IBS. We thus find that when little water is present in the system it tends to aggregate near the non-IBS. We examine if there is also any distinction in the thermodynamic properties of water in these regions. In fact, we find small differences in the specific heat of the water in contact with the IBS and the water in contact with the non-IBS, which we attribute to differences in the configurational contribution to the specific heat arising from the distinct sensitivity of water−protein hydrogen bonds to change in temperature in these two regions. In the following section, we discuss the computational methods used to model hydrated DAFP-1. In Section 3, we summarize the thermodynamic properties that we address. In Section 4, we present and discuss results of the thermodynamic and hydrogen bond properties we compute for DAFP-1. We conclude in Section 5.

Figure 1. (a) DAFP-1 hydrated by 300 water molecules from two different perspectives. Threonine side chains, which lie on the IBS, are indicated. (b) Fractional coverage of the IBS (triangles) and the rest of the protein (circles) are plotted vs weight fraction protein, wP, at 300 K.

region on the surface of the protein is rich in threonines, indicated in Figure 1. Mutation studies in which some threonines have been replaced by isoleucines indicate a critical role of that surface in the antifreeze activity of the protein.56 Since mutations on that surface, the ice-binding site (IBS), diminish antifreeze activity, AFP activity stems at least in part from local interactions between protein and solvent. Indeed, a general framework for describing antifreeze activity has long been based on a picture of adsorption inhibition, with additional contributing factors.52 Still, the results of THz studies indicate a longer range effect, too, that is, proteininduced retardation of hydrogen bond dynamics extending to distances on the nanometer scale from the protein surface and may potentially contribute to or at least be a consequence of the mechanism of antifreeze activity.33 In this computational study, we begin with DAFP-1 and systematically hydrate the protein. At each level of hydration, we compute thermodynamic properties, including specific heats, entropy, and free energy of mixing water and protein. Values of the partial thermodynamic properties of water and protein are calculated at each level of hydration and compared with values for the isolated protein and for a water cluster comparable in size to the solvated protein. The systems we study are really clusters rather than bulk systems. Specific heats at constant volume of many types of clusters, including van der Waals clusters, water clusters, and metallic clusters, have been calculated classically and quantum mechanically, taking the cluster volume as constant over a simulation,57−61 with one

2. COMPUTATIONAL METHODS The initial structure for the 83-residue DAFP-1 was created as described in ref 33. DAFP-1 was solvated with 4000 TIP5P water molecules in a cubic box. All of the MD simulations were carried out using the GROMACS software package.67 Following energy minimization, a 1 ns NVT simulation was run, followed by a 5 ns NPT simulation, and then a 5 ns NPT production run to obtain a density-converged isothermal− isobaric ensemble. The simulations were carried out at a pressure of 1 bar and temperature of 300 K. This temperature is close to that at which the subsystems containing the hydrated protein were studied so that the structures should provide a good starting point for those simulations. This system is a parent system for all the subsystems we have studied in this work. We derived 20 subsystems containing 0−1600 water molecules from the parent system for the subsequent simulations. For each system, the water molecules closest to the protein were kept, so the 300 nearest water molecules for DAFP-1 with 300 waters, etc. It was more convenient for some of the molecular modeling to use transferable intermolecular potential with 3 points (TIP3P) water, so we replaced all the TIP5P water molecules by TIP3P water in each subsystem 9499


Article


neighbor list, Coulomb cut-off, and Lennard−Jones cut-off were 1 nm in our simulation. The grid method for updating the neighbor list, Verlet method for the cut-off scheme, all directional periodic boundary condition, and all bond constraints with the SHAKE linear constraint solver were applied throughout the simulation process. The coordinate trajectory over the simulation was obtained by saving structures each 10 fs of the simulation. The kinetic and potential energy over the simulation was calculated at each of these saved points to calculate the average total energy. For the hydrogen bond criterion, we used a donor−acceptor distance criterion with a cut-off radius of 0.35 nm, hydrogen− donor−acceptor angle cutoff of 30°, bin width angle distribution of 1°, and bin width distance distribution of 0.005 nm to calculate the number of hydrogen bonds for each trajectory and temperature. The time average of the timedependent hydrogen bond data was calculated as the average number of hydrogen bonds in each subsystem at each coupling temperature. To calculate the number of water molecules over the icebinding site and the rest of the protein, we defined a plane tangential to the ice-binding site, the threonine-rich surface, and then counted the number of water molecules over the surface. In this way, the ice-binding site of DAFP-1 is made up of 24 residues, with the remaining residues of the 83 total making up the non-ice-binding region. These are listed in the Supporting Information (SI). The calculation of the number of water molecules was investigated from the 500 ps canonical trajectory each 50 ps. The number that we report is an average over these 10 points at 300 K.

without altering the position of each water molecule. Although different water models may have effects on structures of unfolded proteins, we do not expect much of an effect on the folded structure when using either of these water models.68 Different water models may also influence the structure of solvation water and the characteristic of the solvation interface, but we do not expect any such perturbation to affect our results or conclusions. Each subsystem was then energy-minimized, and we carried out a 200 ps NVT simulation, followed by a 500 ps NVT production run with coupling temperature ranging from 270 to 310 K in intervals of 10 K. For these simulations, a cubic box of length 5.2 nm was used, the same size as that of the box at the end of the NPT simulations. Results for the specific heats did not change significantly when we calculated them after a 200 ps production run, and the values we report are for the longer 500 ps simulation. We checked that no evaporation occurred during the simulations. This was done by determining the minimum distance from the surface of the protein within which all water molecules are found, which is plotted for three of the systems at 310 K in Figure S1. We find this distance to fluctuate very little over the course of the simulations, all within a range of 0.7 Å. We calculated the average total energy at each temperature and performed a linear fit to get the derivative of energy with respect to temperature, that is, the specific heat, Cv. Similarly, we calculated the average number of hydrogen bonds, N, for each system at 270, 280, 290, 300, and 310 K, using a standard hydrogen bond criterion specified below. Finally, normal modes were computed for the systems with 0, 50, 100, 200, 250, 300, 400, 500, 600, and 800 water molecules and for the water cluster following energy minimization, which was a sufficient set of systems to estimate the vibrational contribution to the entropy. To compare with thermodynamic properties of a water cluster of size similar to that of the hydrated protein, we repeated the above procedure on a cluster containing 1512 TIP3P water. This number is close to the maximum number of water molecules of 1600 around the hydrated protein that we studied and was the number extracted within a volume selected to remove roughly 1600 water molecules from a box of water. Thermodynamic properties of the water cluster will not change significantly if a somewhat smaller or larger cluster of water molecules were used, as this size lies beyond the range where size-dependent properties of water clusters are found.69 To obtain this water cluster we carried out a 500 ps NVT simulation, followed by 1 ns NPT and 1 ns equilibration NPT simulation for a bulk water system containing 16 000 TIP3P water molecules. This total of 2.5 ns molecular dynamics (MD) simulation reproduced an equilibrated ensemble with pressure, 1 bar, temperature, 300 K, and density, 1.0 g cm−3. We cut out the droplet of water containing 1512 water molecules in such a way that the center of mass of the droplet was very near the center of mass of the whole system. The box size for the water cluster simulations was the same as that for the hydrated protein simulations. We checked that no evaporation occurred during the simulations by determining the distance from the center of mass to the edge of the water cluster, which is plotted in Figure S1. Fluctuations of this distance are very small, all within a range of 0.5 Å over the course of the simulations. Each of the above MD simulations was performed with a 1 fs time step and 0.1 K coupling constant. The topology parameters for the MD simulations were extracted from the AMBER-03 force field. The cut-off distances, the short-range

3. THERMODYNAMIC PROPERTIES The thermodynamic properties of hydrated DAFP-1 that we compute by molecular simulations include the specific heat, Cv, and entropy, S. We consider two subsystems, water (W) and protein (P), and we label the partial thermodynamic properties of each as X̅ W and X̅ P, respectively. The weight fraction water and protein in the system is denoted, respectively, as wW and wP. For thermodynamic property, X, expressed per unit mass of the mixture, we write X = wPXP̅ + wW X̅W

(1)

X0j

Defining as the property per unit mass of the pure component j, we write the change in X due to mixing water and protein as 0 ΔX = X − (wPXP0 + wW X W )

(2)

For the specific heat of the system, Cv, we compute the internal energy, U, from 270 to 310 K by the MD simulations described in the previous section and take the temperature derivative. For the entropy, S, we follow a procedure used in the previous work on BPTI.47 We calculate the entropy in harmonic approximation, Snm, in terms of the normal modes ⎡ ℏω /k T ⎤ − ln(1 − e−ℏωα / kBT )⎥ Snm = kB ∑ ⎢ ℏω /αk T B ⎣e α B − 1 ⎦ α

(3)

The harmonic approximation should provide a reasonable estimate to the entropy of the system at low temperature, in practice below the apparent dynamical transition, which occurs at around 200 K. We thus use eq 3 to estimate the entropy to 200 K, and at higher temperature, T, we estimate the entropy simply as 9500


Article

The Journal of Physical Chemistry B ⎛ T ⎞ ⎟ S = Snm(200 K) + Cv ln⎜ ⎝ 200 K ⎠

(4)

where for Cv, we use the value obtained from the molecular dynamics simulations. In the analysis of the specific heat, Cv, we separate contributions from the vibrations, Cv,vib, and a configurational contribution, Cv,conf, where for simplicity, we take Cv = Cv,vib + Cv,conf. Because the simulations are classical, we use for the vibrational contribution to the specific heat of water, Cv,vib = 6R = 0.6623 cal g−1 K−1. For the configurational contributions, we assume a uniform hydrogen bond energy, ε, and calculate in the simulations the number of hydrogen bonds, N, at temperatures from 270 to 310 K so that we estimate for the configurational contribution, Cv,conf Cv,conf = ε

dN dT

Figure 2. Specific heat, Cv, for hydrated DAFP-1 is plotted vs weight fraction protein, wP. Values of Cv computed by MD simulations are indicated by filled circles. Linear fits to the data at low hydration (solid line) and fully hydrated limit (dashed line) are also plotted.

(5)

Although, of course, just an approximation to the configurational contribution to the specific heat, we shall see that eq 5 yields a reasonable estimate to the hydrogen bond energy using Cv and dN/dT calculated by MD simulations, after subtracting Cv,vib = 6R.

There appear to be two regions where Cv varies approximately linearly with wP. The more convincing linear variation lies where wP ≈ 0.23−0.62 or from 300 to 1600 water molecules around the protein. A linear fit to those data yields in this region, Cv = 1.0983 cal g−1 K−1 − 0.4920wP. Extrapolating to pure water, we find that Cv for a water cluster is 1.0983 cal g−1 K−1, about 2.5% smaller than the value of 1.125 cal g−1 K−1 that we calculated for a cluster of water molecules that is of comparable size. In this region, we find for the protein the partial specific heat in the hydrated limit to be 0.606 cal g−1 K−1, a 23% increase over the partial specific heat of the protein in the limit of low hydration. The other region where the data appear to vary linearly, perhaps only approximately so, is in the limit of low hydration. Using the data for the dry protein and the data for hydration with 50−250 water molecules, we obtain the linear fit, Cv = 1.260 cal g−1 K−1 − 0.7634wP. This linear fit gives 0.4966 cal g−1 K−1 for the partial specific heat of the protein in the limit of low hydration, which is essentially the same as the value of 0.494 cal g−1 K−1 computed for the dry protein itself. The intercept of Cv = 1.260 cal g−1 K−1 gives a value for the partial specific heat of water that, in the limit of low hydration, is 15% larger than the specific heat of water in the fully hydrated limit. To explore further what properties influence differences in the partial specific heat of the water in the limit of low hydration, where wP is greater than about 0.62 and the fully hydrated limit corresponds to at least 300 water molecules, we focus on the hydrogen bonds. We begin with the average number of hydrogen bonds, N, calculated over the course of a simulation divided by the number of water molecules in the system at 300 K, which we plot in Figure 3. There we see that at low hydration, with fewer than 300 waters, N is greater than its value in the hydrated limit, which is about 1.6 for these systems. N decreases from about 1.9 to 1.6 with decreasing wP until wP ≈ 0.6, or 300 water molecules; then, the number remains fairly constant at around 1.6 for smaller wP. The value N = 1.6 corresponds to 3.2 hydrogen bonds extending from each water molecule on average, that is, twice the number of hydrogen bonds over all water molecules because there are two water molecules per bond. In simulations, the average number of hydrogen bonds is found to be 3.2 or larger,70 so for the systems we have studied, the number of hydrogen bonds

4. RESULTS AND DISCUSSION Figure 1a illustrates a snapshot of the protein with 300 hydration water molecules. More water molecules appear to be concentrated away from the ice-binding site (IBS) than near it, which is supported by our analysis of water molecules near each of the two regions. The reason, as discussed further below, is the relative hydrophobicity of the IBS. In Figure 1b, we plot the average fraction of water molecules near the IBS of DAFP-1 and the average fraction computed over the simulation near the non-IBS as a function of wP at 300 K. We see that for low levels of hydration water, the fraction of water near the IBS is smaller than the hydrated limit, increasing gradually to about 0.21 as wP decreases to about 0.62, which corresponds to about 300 water molecules. For more water, that is, smaller wP, the fraction of water around the IBS remains at 0.21. We have assigned 24 of the 83 residues to the IBS (see SI) or 0.29 of the 83 residues that make up the surface of the protein. Because the fraction of water around the IBS is smaller than the fraction of residues on the IBS, the water molecules are found somewhat disproportionately near the non-IBS of the protein. All of the IBS side chains are either hydrophobic or polar, and all of the side chains with charged groups are found in the nonIBS, which would explain the propensity for water molecules near the latter. Earlier computational studies have shown that when there are few water molecules hydrating a protein, those molecules tend to aggregate near charged groups.47 It is likely that at low levels of hydration, the position of the water molecules in our systems resembles the position in the solvated system. For the protein systems hydrated by N water molecules studied here, where the initial structures were those N water molecules closest to the protein, the water molecules near the charged groups do not migrate much around the protein during the simulation of the partially hydrated protein. In Figure 2, we plot the specific heat of hydrated DAFP-1 as a function of weight fraction protein, wP. We see that the specific heat of the system decreases monotonically as wP increases, reaching a value of 0.494 cal g−1 K−1 for the dry protein. Also plotted is the value of Cv computed for a cluster of 1512 water molecules, which was found to be 1.125 cal g−1 K−1. 9501


Article


divided by the number of waters to get dN/dT per water in the system. Those values are multiplied by 1000, to be of order 1, so we plot in Figure 4 dN/dT per 1000 waters, which we have broken down into dN/dT for water−water hydrogen bonds (blue), water−protein hydrogen bonds (black), and their sum (red). We note that although we have also calculated dN/dT for protein−protein hydrogen bonds, we found those values to be at least 2 orders of magnitude smaller than those computed for water−water and water−protein hydrogen bonds and thus neglected protein−protein hydrogen bonds in Figure 4 and in the following discussion. As wP approaches 1, where there is relatively little water, the hydrogen bonds involving water molecules are mainly between water and protein. For weight fraction protein 0.8 or greater, only water−protein hydrogen bonds contribute to dN/dT. The magnitude of dN/dT for water−protein hydrogen bonds is noticeably greater at low levels of hydration than at higher levels, apparently due to a greater sensitivity of water−protein hydrogen bonds to changes in temperature at low hydration. As the level of hydration increases, the contribution of water− protein hydrogen bonds to dN/dT diminishes and the contribution of water−water hydrogen bonds increases. By wP ≈ 0.7, the magnitude of dN/dT for water−water hydrogen bonds is greater than that for water−protein hydrogen bonds and the values diverge further with increasing hydration. With the addition of at least 300 water molecules (wP ≈ 0.6), the sum of the two contributions to dN/dT reaches a value of about −2.7 K−1 per 1000 water molecules. With roughly two hydration layers, or wP ≈ 0.4, the magnitude of dN/dT for water−protein hydrogen bonds becomes far smaller than that for water−water hydrogen bonds, which indicates that for this level of hydration and beyond, the configurational contribution to the specific heat is largely due to the water− water hydrogen bonds. Although there are significant fluctuations in dN/dT of around −2.7 per 1000 water molecules, as more water is added to the system, the average value does not appear to change much. The same value, −2.7 K−1, is found for the water cluster. Overall, the hydrated limit appears to have been reached when for all hydrogen bonds, dN/dT reaches a value of about −2.7 K−1 per 1000 water molecules. We can use dN/dT ≈ −2.7 K−1 per 1000 waters to estimate the configurational contribution to the specific heat of the water and the hydrogen bond strength, ε, with eq 5. Because for this value of dN/dT, where the hydration levels are large, almost all of the hydrogen bonds are between water molecules, we are thus estimating the hydrogen bond strength between water molecules. The simulations are classical, so we use for the vibrational contribution to the specific heat, Cv,vib = 6R = 0.6623 cal g−1 K−1. For the cluster of water molecules, we found Cv to be 1.0983 cal g−1 K−1. Taking the difference between Cv and Cv,vib to get Cv,conf gives Cv,conf = 0.4360 cal g−1 K−1 or 39.7% of the specific heat of water. With that value, we use eq 5 to estimate ε, recognizing that there are two water molecules for each hydrogen bond. For the dN/dT that we have calculated, we thus need to divide the right hand side of eq 5 by 2 to account for two water molecules per hydrogen bond. For dN/dT = −2.7 K−1 per 1000 water molecules, we find for the average energy of each hydrogen bond the value, ε = −5.8 kcal mol−1. This ε is comparable to the value, −5.6 kcal mol−1, which we have calculated for the hydrogen bonds of the water cluster as the change in potential energy with the change in hydrogen bond number. For hydrogen bonds between TIP3P

Figure 3. Average number of hydrogen bonds, N, per water molecule (red asterisks) computed in the MD simulation at 300 K is plotted vs weight fraction protein, wP. Contributions of water−water (blue circles) and water−protein (black squares) hydrogen bonds are indicated.

extending from each water molecule may be somewhat smaller than that in the bulk due to surface effects. We have broken up N into contributions from water−water and water−protein hydrogen bonds, which are also plotted in Figure 3. At low levels of hydration, the number of water− water hydrogen bonds is much smaller than the number of water−protein hydrogen bonds, which make up, for example, about three-quarters of the hydrogen bonds when there are about 50 water molecules around DAFP-1. As the hydration level increases, more water−water hydrogen bonds form. With about 150 water molecules around DAFP-1, the contribution of water−water and water−protein hydrogen bonds is about the same. When there are about 300 water molecules hydrating the protein, the number of water−water and water−protein hydrogen bonds per water molecule apparently sums to yield about 1.6 hydrogen bonds per water molecule in the system. The specific heat has contributions from vibrations of the water network and from configurational changes in hydrogen bonds with temperature. We thus seek to explain the variation in Cv with wP by examining trends in dN/dT. In Figure 4, we plot dN/dT versus wP, where N(T) is the average number of hydrogen bonds calculated during the MD simulation at each temperature, T. We have computed dN/dT for each system and

Figure 4. dN/dT for water−water (blue circles), water−protein (black squares) hydrogen bonds, and both (red asterisks) per 1000 water molecules is plotted vs weight fraction protein, wP. At least 80% of dN/ dT for water−protein hydrogen bonds is due to water at the IBS (see text). 9502


Article

The Journal of Physical Chemistry B water, the depth of the potential71 is −6.6 kcal mol−1 and the hydrogen bond energy can be as high as −4.6 kcal mol−1 for the angles and bond lengths of our hydrogen bond criterion. For two systems, one DAFP-1 with 300 water molecules and the other DAFP-1 with 100 water molecules, we have calculated dN/dT for water−IBS and water−non-IBS hydrogen bonds, that is, we have broken down dN/dT into contributions from hydrogen bonds between water and the IBS and water and the non-IBS, respectively. The system with 300 water molecules represents a fully hydrated system, whereas the system with 100 water molecules represents a system with little hydration. We have only used the final structure of our simulation for this analysis so that N is not an average in this case, but the values we found were very close to the average. For example, for 300 water molecules at 300 K, we found N to be 155.7 on average and 155 in the final structure. For the system with 300 water molecules, we find 82% of dN/dT to arise from water−IBS hydrogen bonds and the rest from water−non-IBS. Thus, the configurational contribution to the specific heat from water−protein hydrogen bonds is due more to water−IBS hydrogen bonds than water−non-IBS. We thus expect the partial specific heat and the entropy of the water surrounding the IBS to be somewhat larger than the partial specific heat of water near the non-IBS. This conclusion is consistent with the greater hydrophilic character of the nonIBS, where all charged groups of DAFP-1 are located. Because about 40% of the specific heat corresponds to configurational contributions and about 30% of that is due to water−protein hydrogen bonds for wP ≈ 0.6 (Figure 4), the partial specific heat for water at the IBS could be as much as 10% greater than that for water at the non-IBS. The difference would be substantially smaller for water not directly in contact with the protein, where water−protein hydrogen bonds do not contribute to the configurational contribution to the specific heat and entropy. In the limit of low hydration, the configurational contribution to the partial specific heat of water is due entirely to water− protein hydrogen bonds, as seen in Figure 4. We find for DAFP-1 hydrated by 100 water molecules that dN/dT is due entirely to water−IBS hydrogen bonds. The magnitude of dN/ dT for hydrogen bonds between water and the rest of the protein is negligible by comparison. Therefore, the relatively high value of the partial specific heat of hydration water in the limit of low hydration is due to the high sensitivity of hydrogen bonds between water and the IBS as the temperature is changed. Those hydrogen bonds are apparently stabilized when more hydration water is present, and the configurational contribution to the partial specific heat of water is then largely due to hydrogen bonds between water molecules when the protein is fully hydrated. As pointed out, the magnitude of dN/dT for protein−protein hydrogen bonds is much smaller than that for water−water and water−protein hydrogen bonds. However, we found that the partial specific heat of the protein in the fully hydrated limit is more than 20% larger than the partial specific heat of the protein in the limit of low hydration. The sizable increase in the partial specific heat of the protein when the hydrated limit is reached cannot be explained by changes of hydrogen bonding with temperature, at least not by using the hydrogen bond definition adopted here. Other configurational contributions to the specific heat, including changes in van der Waals interactions with temperature, may play a greater role.

We use the specific heat values calculated for the hydrated protein to estimate the entropy using eqs 3 and 4. In Figure 5a,

Figure 5. (a) Entropy, S, is plotted vs weight fraction protein, wP, including entropy computed with normal modes at 200 K (asterisks) and 300 K (squares) and entropy computed with eq 4 (circles), i.e., Snm(200 K), Snm(300 K), and S(300 K), respectively. Linear fits in the fully hydrated limit are plotted as dashed lines, and a linear fit to the low hydration region for S(300 K) data is plotted as a solid line. (b) Entropy of mixing, ΔS, is plotted using the S(300 K) data (asterisks) and the linear fits (dashed lines).

we plot Snm(200 K), Snm(300 K), and S(300 K), where the former two were calculated using eq 3 and S(300 K) was computed with eq 4. We fit the entropy data in the hydrated limit, that is, DAFP-1 hydrated with at least 300 water molecules. This gives for Snm(200 K) the result Snm(200 K) = 0.4079 cal g−1 K−1 − 0.1928wP. For Snm(300 K), we find by fitting the same range of data, Snm(300 K) = 0.5798 cal g−1 K−1 −0.2695wP. For S calculated with eq 4, we find for the same range, S(300 K) = 0.8637 cal g−1 K−1 − 0.4119wP. We thereby find for the entropy of water 0.8637 cal g−1 K−1, which matches the value that we find for the water cluster, 0.8655 cal g−1 K−1. Both are close to the actual standard entropy of liquid water, which is 0.9288 cal g−1 K−1, or 7% below the actual value. We note that our result could be larger if we chose a somewhat lower temperature for the dynamical transition than 200 K, which is of course very plausible. We note also that the entropy computed with normal modes at 300 K is fairly similar to the standard entropy of ice, 0.5444 cal g−1 K−1. For the protein in the hydrated limit, we find a partial entropy of 0.4518 cal g−1 K−1. In the low hydration region, that is, wP > 0.6, we find by fitting the data, S(300 K) = 0.9468 cal g−1 K−1 − 0.5413wP. For the protein, we find a lower value of the partial entropy of 9503


Article

The Journal of Physical Chemistry B 0.4045 cal g−1 K−1 in the limit of low hydration, so the partial entropy of the protein increases by about 12% when it is hydrated. For water in the low hydration limit, we find the partial entropy to be 0.9468 cal g−1 K−1, about a 9% increase in entropy over water in the fully hydrated limit. Finally, we calculate the entropy of mixing, ΔS, for DAFP-1 and water using the fitted values for S(300 K) in eq 2 for the hydrated and low hydration regions, that is, above and below wP of 0.62, respectively. The result is plotted in Figure 5b, where we also plot ΔS using the data plotted in Figure 5a. On the basis of the two linear fits to the computed entropy, we see that the entropy of mixing increases as water is added to the protein until about 300 water molecules around the protein and then decreases as more water is added. Although 300 water molecules is roughly the number that would cover the protein with one hydration layer, we have seen that a disproportionate amount of water is found away from the IBS so that the distribution is not uniform. We find the entropy of mixing to make a much greater contribution to the free energy of mixing at 300 K than the energy of mixing (SI), except possibly at low levels of hydration. The energy of mixing at 300 K (Figure S2) could reasonably be fit to a straight line over the full range of hydration, in which case ΔU is 0, but if we fit the data for 300 water molecules or more, we find U = −423.99 cal g−1 + 290.88wP in the hydrated region, whereas we fit to U = −442.64 cal g−1 + 309.69wP in the low hydration region. For the hydrated region, we find ΔU to be more than 2 orders of magnitude smaller than TΔS at 300 K, but in the region of low hydration it is negative and about 70% of the value of TΔS, which reflects a significant drop in U with addition of water to about 100 water molecules (Figure S2). Overall, we find that the separation between the bulk hydration limit and the low hydration region occurs where the entropy of mixing is a maximum and the free energy of mixing is a minimum. The free energy of mixing is largely due to the entropy of mixing when the number of water molecules added is sufficient for roughly a complete hydration layer around the protein.

Although we find values of the thermodynamic properties of the hydration water to largely approach bulk values when there is enough water for roughly a full hydration layer, the distribution of water molecules around the protein is not uniform, with a propensity for water to cluster around the nonIBS. This is consistent with a hydrophobic IBS. Indeed, sumfrequency generation spectroscopy measurements reveal strikingly the hydrophobic nature of the IBS of DAFP-1, which is found in the experiments to lie at the air−water interface, whereas the non-IBS is found immersed in water.55 There have been previous studies of the temperaturedependence of protein−solvent interactions on the IBS of other hyperactive APFs, in particular of that of CfAFP. NMR measurements indicate temperature-dependent protein−solvent interactions at the IBS, consistent with hydrophobic hydration.72 Hydrophobic hydration on the IBS is consistent with the trends in dN/dT for hydrogen bonds observed in our simulations. Results of previous molecular simulations of hyperactive insect AFPs at different temperatures also reflect temperature-dependent interaction energies at the IBS. Nutt and Smith,34 and Kuffel et al.,73 found the hydration water to be more structured around the IBS of CfAFP than elsewhere around the protein, most strikingly at low temperature. Nutt and Smith34 also observed the hydrogen bond dynamics to be more retarded around the IBS than elsewhere around the protein, again mainly at low temperature. The latter is consistent with more recent studies of other hyperactive insect AFPs,51 including DAFP-1.33 Differences in the specific heat in the low- and fully hydrated regions are accounted for by differences in the sensitivity of hydrogen bonds to change in temperature as a function of wP. We found the magnitude of dN/dT, where N is the average number of hydrogen bonds, increases with decreasing wP from 1.0 to about 0.6, at which point it does not change on average as more water is added. However, the origin of dN/dT varies as water is added. At low levels of hydration, the magnitude of dN/dT is mediated by water−protein hydrogen bonds and is relatively large compared to the magnitude of dN/dT in the fully hydrated limit, giving rise to a partial specific heat of water that is larger than that in the bulk limit. The main source of the relatively large magnitude of dN/dT at low levels of hydration is the water−protein hydrogen bonds at the IBS, where water is less tightly bound to the protein than at the non-IBS. Because water−protein hydrogen bonds contribute significantly to the partial specific heat of the hydration water at low levels of hydration, the specific heat of the hydration water near the IBS is greater than near the non-IBS. Differences in values of thermodynamic properties of water molecules in distinct regions or binding pockets around other proteins have been observed in previous molecular simulation studies,74−76 for example, for waters in the five binding pockets of Interleukin-1β.74 Tightly bound water molecules that have been studied by molecular simulations77−83 contribute to thermal84−86 and thermodynamically driven processes,79 for example, entropy-driven cooperativity in some proteins.87,88 It is unclear if small differences in values of the thermodynamic properties of hydration water around the IBS and non-IBS of DAFP-1 contribute to the function or are simply a consequence of their different chemical properties. Either way, it would be interesting if those differences could be observed experimentally. Perhaps THz-calorimetry, which has recently revealed local changes in solvation free energies of alcohol chains,89

5. CONCLUSIONS We have computed thermodynamic properties of hydration water around the antifreeze protein DAFP-1 by molecular simulations and normal mode analysis. We find the specific heat of the hydrated protein around 300 K to vary linearly with weight fraction protein, wP, when wP is about 0.6 or smaller, corresponding to about 300 or more water molecules around the protein. For fewer hydration water molecules, the specific heat also appears to vary fairly linearly with wP but with a different slope than that at higher levels of hydration. In the hydrated region, the partial specific heat of the water is the same as the specific heat of a water cluster of about the same size. In the region of lower hydration, the partial specific heat of the hydration water is about 10% larger. The partial specific heat of DAFP-1 is lower in the region of little hydration and over 20% greater in the fully hydrated limit. The separation between the low and fully hydrated limit of wP ≈ 0.6, about 300 water molecules around DAFP-1, is similar to that of wP found for other proteins. Isothermal calorimetric measurements on lysozyme, human serum albumin, β-lactoglobulin, and chymotrypsinogen A reveal that fully hydrated values of partial enthalpies and free energies are reached where wP ≈ 0.562,64 and densitometry studies indicate that fully hydrated values of partial volumes are again reached where wP ≈ 0.5.63 9504


Article


(7) Tarek, M.; Tobias, D. J. Role of Protein−Water Hydrogen Bond Dynamics in the Protein Dynamical Transition. Phys. Rev. Lett. 2002, 88, No. 138101. (8) Marchi, M.; Sterpone, F.; Ceccarelli, M. Water Rotational Relaxation and Diffusion in Hydrated Lysozyme. J. Am. Chem. Soc. 2002, 124, 6787−6791. (9) LeBard, D. N.; Matyushov, D. V. Ferroelectric Hydration Shells around Proteins: Electrostatics of the Protein−Water Interface. J. Phys. Chem. B 2010, 114, 9246−9258. (10) Martin, D. R.; Matyushov, D. V. Dipolar Nanodomains in Protein Hydration Shells. J. Phys. Chem. Lett. 2015, 6, 407−412. (11) Leitner, D. M.; Straub, J. E. Proteins: Energy, Heat and Signal Flow; CRC Press, Taylor & Francis Group: Boca Raton, FL, 2009. (12) Hospital, A.; Candotti, M.; Gelpí, J. L.; Orozco, M. The Multiple Roles of Waters in Protein Solvation. J. Phys. Chem. B 2017, 121, 3636−3643. (13) Gavrilov, Y.; Leuchter, J. D.; Levy, Y. On the Coupling between the Dynamics of Protein and Water. Phys. Chem. Chem. Phys. 2017, 19, 8243−8257. (14) Heyden, M.; Tobias, D. J. Spatial Dependence of Protein− Water Collective Hydrogen Bond Dynamics. Phys. Rev. Lett. 2013, 111, No. 218101. (15) Heyden, M.; Tobias, D. J.; Matyushov, D. V. Terahertz Absorption of Dilute Aqueous Solutions. J. Chem. Phys. 2012, 137, No. 235103. (16) Novelli, F.; Pour, S. O.; Tollerud, J.; Roozbeh, A.; Appadoo, D. R. T.; Blanch, E. W.; Davis, J. A. Time-Domain THz Spectroscopy Reveals Coupled Protein−Hydration Dielectric Response in Solutions of Native and Fibrils of Human Lysozyme. J. Phys. Chem. B 2017, 121, 4810−4816. (17) Johnson, M. E.; Malardier-Jugroot, C.; Murarka, R. K.; HeadGordon, T. Hydration Water Dynamics near Biological Interfaces. J. Phys. Chem. B. 2009, 113, 4082−4092. (18) Bizzarri, A. R.; Cannistraro, S. Molecular Dynamics of Water at the Protein−Solvent Interface. J. Phys. Chem. B 2002, 106, 6617−6633. (19) Gregory, R. B. Protein−Solvent Interactions; Marcel Dekker: New York, 1995. (20) Laage, D.; Elsaesser, T.; Hynes, J. T. Water Dynamics in the Hydration Shells of Biomolecules. Chem. Rev. 2017, 117, 10694− 10725. (21) Fogarty, A. C.; Laage, D. Water Dynamics in Protein Hydration Shells: The Molecular Origins of the Dynamical Perturbation. J. Phys. Chem. B 2014, 118, 7715−7729. (22) Yu, I.; Takayanagi, M.; Nagaoka, M. Intrinsic Alterations in the Partial Molar Volume on the Protein Denaturation: Surficial Kirkwood−Buff Approach. J. Phys. Chem. B 2009, 113, 3543−3547. (23) Kurisaki, I.; Barberot, C.; Takayanagi, M.; Nagaoka, M. Dewetting of S1-Pocket Via Water Channel Upon Thrombin− Substrate Association Reaction. J. Phys. Chem. B 2015, 119, 15807− 15812. (24) Chalikian, T. V. Volumetric Properties of Proteins. Annu. Rev. Biophys. Biomol. Struct. 2003, 32, 207−235. (25) Dadarlat, V. M.; Post, C. B. Decomposition of Protein Experimental Compressibility into Intrinsic and Hydration Shell Contributions. Biophys. J. 2006, 91, 4544−4554. (26) Qin, Y.; Jia, M.; Yang, J.; Wang, D.; Wang, L.; Xu, J.; Zhong, D. Molecular Origin of Ultrafast Water−Protein Coupled Interactions. J. Phys. Chem. Lett. 2016, 7, 4171−4177. (27) Qin, Y.; Zhang, L.; Wang, L.; Zhong, D. Observation of the Global Dynamic Collectivity of a Hydration Shell around Apomyoglobin. J. Phys. Chem. Lett. 2017, 8, 1124−1131. (28) Peon, J.; Pal, S. K.; Zewail, A. H. Hydration at the Surface of the Protein Monellin: Dynamics with Femtosecond Resolution. Proc. Natl. Acad. Sci. U.S.A. 2002, 99, 10964−10969. (29) Steinbach, P. J.; Brooks, B. R. Protein Hydration Elucidated by Molecular Dynamics Simulation. Proc. Natl. Acad. Sci. U.S.A. 1993, 90, 9135−9139.

could differentiate between values of thermodynamic properties in different regions of this protein. Using the values computed for the specific heat, the entropy of the hydrated protein was estimated. The partial entropy of the protein is greater in the fully hydrated limit, and the partial entropy of water is somewhat smaller. The origin of the larger partial entropy of water at low levels of hydration can again be attributed to the water near the IBS, for which the partial specific heat is relatively large due to the sensitivity of the water−protein hydrogen bonds present there to change in temperature. The relatively loosely bound water molecules or isolated clusters at the IBS exhibit a particularly high partial specific heat and entropy at low levels of hydration. Only when a hydration layer forms are hydrogen bonds involving the IBS more stable, consistent with a percolation network model for the hydration water,32,48,49 where the onset of long-range water coverage yields thermodynamic properties that start to converge to values in the dilute solution limit.

■

ASSOCIATED CONTENT

S Supporting Information *

The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acs.jpcb.7b05892. DAFP-1 residues assigned either to ice-binding site or non-ice-binding site (Table 1); distance plotted within which water molecules are found in the system (Figure S1); internal energy versus weight fraction protein (Figure S2) (PDF)

■

AUTHOR INFORMATION

Corresponding Author

*E-mail: [email protected]. Tel: 1-775-784-1968. ORCID

David M. Leitner: 0000-0002-3105-818X Notes

The authors declare no competing financial interest.

■

ACKNOWLEDGMENTS

■

REFERENCES

The authors thank Dr. Yao Xu for providing structures of DAFP-1 and for helpful conversations. Support from NSF grant CHE-1361776 is gratefully acknowledged.

(1) Bellissent-Funel, M.-C.; Hassanali, A.; Havenith, M.; Henchman, R.; Pohl, P.; Sterpone, F.; van der Spoel, D.; Xu, Y.; Garcia, A. E. Water Determines the Structure and Dynamics of Proteins. Chem. Rev. 2016, 116, 7673−7697. (2) Russo, D.; Hura, G.; Head-Gordon, T. Hydration Dynamics near a Model Protein Surface. Biophys. J. 2004, 86, 1852−1862. (3) Frauenfelder, H.; Fenimore, P. W.; Chan, G.; McMahon, B. H. Protein Folding Is Slaved to Solvent Motions. Proc. Natl. Acad. Sci. U.S.A. 2006, 103, 15469−15472. (4) Ball, P. Water as an Active Constituent in Biology. Chem. Rev. 2008, 108, 74−108. (5) Pizzitutti, F.; Marchi, M.; Sterpone, F.; Rossky, P. J. How Protein Surfaces Induce Anomalous Dynamics of Hydration Water. J. Phys. Chem. B 2007, 111, 7584−7590. (6) Tarek, M.; Tobias, D. J. The Dynamics of Protein Hydration Water: A Quantitative Comparison of Molecular Dynamics Simulations and Neutron-Scattering Experiments. Biophys. J. 2000, 79, 3244−3257. 9505


Article

The Journal of Physical Chemistry B (30) Knab, J.; Chen, J.-Y.; Markelz, A. G. Hydration Dependence of Conformational Dielectric Relaxation of Lysozyme. Biophys. J. 2006, 90, 2576−2581. (31) He, Y.; Ku, P. I.; Knab, J. R.; Chen, J. Y.; Markelz, A. G. Protein Dynamical Transition Does Not Require Protein Structure. Phys. Rev. Lett. 2008, 101, No. 178103. (32) Rupley, J. A.; Careri, G. Protein Hydration and Function. Adv. Protein Chem. 1991, 41, 37−172. (33) Meister, K.; Ebbinghaus, S.; Xu, Y.; Duman, J. G.; DeVries, A.; Gruebele, M.; Leitner, D. M.; Havenith, M. Long-Range Protein− Water Dynamics in Hyperactive Insect Antifreeze Proteins. Proc. Natl. Acad. Sci. U.S.A. 2013, 110, 1617−1622. (34) Nutt, D. R.; Smith, J. C. Dual Function of the Hydration Layer around an Antifreeze Protein Revealed by Atomistic Molecular Dynamics Simulations. J. Am. Chem. Soc. 2008, 130, 13066−13073. (35) Ebbinghaus, S.; Meister, K.; Born, B.; DeVries, A. L.; Gruebele, M.; Havenith, M. Antifreeze Glycoprotein Activity Correlates with Long-Range Protein−Water Dynamics. J. Am. Chem. Soc. 2010, 132, 12210−12211. (36) Meister, K.; Duman, J. G.; Xu, Y.; DeVries, A. L.; Leitner, D. M.; Havenith, M. The Role of Sulfates on Antifreeze Protein Activity. J. Phys. Chem. B 2014, 118, 7920−7924. (37) Xu, Y.; Bäumer, A.; Meister, K.; Bischak, C. G.; DeVries, A. L.; Leitner, D. M.; Havenith, M. Protein−Water Dynamics in Antifreeze Protein III Activity. Chem. Phys. Lett. 2016, 647, 1−6. (38) Ebbinghaus, S.; Kim, S. J.; Heyden, M.; Yu, X.; Heugen, U.; Gruebele, M.; Leitner, D. M.; Havenith, M. An Extended Dynamical Solvation Shell around Proteins. Proc. Natl. Acad. Sci. U.S.A. 2007, 104, 20749−20752. (39) Ebbinghaus, S.; Kim, S. J.; Heyden, M.; Yu, X.; Gruebele, M.; Leitner, D. M.; Havenith, M. Protein Sequence- and pH-Dependent Hydration Probed by Terahertz Spectroscopy. J. Am. Chem. Soc. 2008, 130, 2374−2375. (40) Leitner, D. M.; Gruebele, M.; Havenith, M. Solvation Dynamics of Biomolecules: Modeling and Terahertz Experiments. HFSP J. 2008, 2, 314−323. (41) Leitner, D. M.; Havenith, M.; Gruebele, M. Biomolecule Large Amplitude Motion and Solvation Dynamics: Modeling and Probes from THz to X-Rays. Int. Rev. Phys. Chem. 2006, 25, 553−582. (42) Luong, T. Q.; Xu, Y.; Bründermann, E.; Leitner, D. M.; Havenith, M. Hydrophobic Collapse Induces Changes in the Collective Protein and Hydration Low Frequency Modes. Chem. Phys. Lett. 2016, 651, 1−7. (43) Heugen, U.; Schwaab, G.; Bründermann, E.; Heyden, M.; Yu, X.; Leitner, D. M.; Havenith, M. Solute Induced Retardation of Water Dynamics: Hydration Water Probed Directly by THz Spectroscopy. Proc. Natl. Acad. Sci. U.S.A. 2006, 103, 12301−12306. (44) Heyden, M.; Bründermann, E.; Heugen, U.; Niehues, G.; Leitner, D. M.; Havenith, M. The Long Range Influence of Carbohydrates on the Solvation Dynamics of Water − Answers from THz Spectroscopic Measurements and Molecular Modelling Simulations. J. Am. Chem. Soc. 2008, 130, 5773−5779. (45) Xu, Y.; Havenith, M. Perspective: Watching Low-Frequency Vibrations of Water in Biomolecules by THz Spectroscopy. J. Chem. Phys. 2015, 143, No. 170901. (46) Yang, P.-H.; Rupley, J. A. Protein−Water Interactions. Heat Capacity of the Lysozyme−Water System. Biochemistry 1979, 18, 2654−2661. (47) Yu, X.; Park, J.; Leitner, D. M. Thermodynamics of Protein Hydration Computed by Molecular Dynamics and Normal Modes. J. Phys. Chem. B 2003, 107, 12820−12828. (48) Oleinikova, A.; Brovchenko, I.; Smolin, N.; Krukau, A.; Geiger, A.; Winter, R. Percolation Transition of Hydration Water: From Planar Hydrophilic Surfaces to Proteins. Phys. Rev. Lett. 2005, 95, No. 247802. (49) Brovchenko, I.; Oleinikova, A. Which Properties of a Spanning Network of Hydration Water Enable Biological Functions? ChemPhysChem 2008, 9, 2695−2702.

(50) Duman, J. G.; Walters, K. R.; Sformo, T.; Carrasco, M. A.; Nickell, P. K.; Lin, X.; Barnes, B. M. Antifreeze and Ice-Nucleator Proteins. In Low Temperature Biology of Insects; Delinger, D. L., Lee, R. E., Eds.; Cambridge University Press: New York, 2010; pp 59−90. (51) Xu, Y.; Gnanasekaran, R.; Leitner, D. M. Analysis of Water and Hydrogen Bond Dynamics at the Surface of an Antifreeze Protein. J. At., Mol., Opt. Phys. 2012, 2012, No. 125071. (52) Dolev, M. B.; Braslavsky, I.; Davies, P. L. Ice-Binding Proteins and Their Function. Annu. Rev. Biochem. 2016, 85, 515−542. (53) Liou, Y.-C.; Tocilj, A.; Davies, P. L.; Jia, Z. Mimicry of Ice Structure by Surface Hydroxyls and Water of a [Beta]-Helix Antifreeze Protein. Nature 2000, 406, 322−324. (54) Wang, S.; Amornwittawat, N.; Juwita, V.; Kao, Y.; Duman, J. G.; Pascal, T. A.; Goddard, W. A.; Wen, X. Arginine, a Key Residue for the Enhancing Ability of an Antifreeze Protein of the Beetle Dendroides Canadensis. Biochemistry 2009, 48, 9696−9703. (55) Meister, K.; Lotze, S.; Olijve, L. L. C.; DeVries, A. L.; Duman, J. G.; Voets, I. K.; Bakker, H. J. Investigation of the Ice-Binding Site of an Insect Antifreeze Protein Using Sum-Frequency Generation Spectroscopy. J. Phys. Chem. Lett. 2015, 6, 1162−1167. (56) Graether, S. P.; Kuiper, M. J.; Gagné, S. M.; Walker, V. K.; Jia, Z.; Sykes, B. D.; Davies, P. L. Beta-Helix Structure and Ice-Binding Properties of a Hyperactive Antifreeze Protein from an Insect. Nature 2000, 325−328. (57) Beck, T. L.; Jellinek, J.; Berry, R. S. Rare Gas Clusters: Solids, Liquids, Slush and Magic Numbers. J. Chem. Phys. 1987, 87, 545−554. (58) Beck, T. L.; Leitner, D. M.; Berry, R. S. Melting and Phase Space Transitions in Small Clusters: Spectral Characteristics, Dimensions, and K-Entropy. J. Chem. Phys. 1988, 89, 1681−1694. (59) Rick, S. W.; Leitner, D. L.; Doll, J. D.; Freeman, D. L.; Frantz, D. D. The Quantum Mechanics of Clusters: The Low Temperature Equilibrium and Dynamical Behavior of Rare Gas Systems. J. Chem. Phys. 1991, 95, 6658−6667. (60) Wales, D. W. Energy Landscapes; Cambridge University Press: Cambridge, 2003. (61) Frantsuzov, P. A.; Mandelshtam, V. A. Equilibrium Properties of Quantum Water Clusters by the Variational Gaussian Wavepacket Method. J. Chem. Phys. 2008, 128, No. 094304. (62) Sirotkin, V. A.; Khadiullina, A. V. Hydration of Proteins: Excess Partial Enthalpies of Water and Proteins. J. Phys. Chem. B 2011, 115, 15110−15118. (63) Sirotkin, V. A.; Komissarov, I. A.; Khadiullina, A. V. Hydration of Proteins: Excess Partial Volumes of Water and Proteins. J. Phys. Chem. B 2012, 116, 4098−4105. (64) Sirotkin, V. A.; Khadiullina, A. V. Gibbs Energies, Enthalpies, and Entropies of Water and Lysozyme at the Inner Edge of Excess Hydration. J. Chem. Phys. 2013, 139, No. 075102. (65) Bandyopadhyay, S.; Chakraborty, S.; Bagchi, B. Secondary Structure Sensitivity of Hydrogen Bond Lifetime Dynamics in the Protein Hydration Layer. J. Am. Chem. Soc. 2005, 127, 16660−16667. (66) Chakraborty, S.; Sinha, S. K.; Bandyopadhyay, S. LowFrequency Vibrational Spectrum of Water in the Hydration Layer of a Protein: A Molecular Dynamics Simulation Study. J. Phys. Chem. B 2007, 111, 13626−13631. (67) Van Der Spoel, D.; Lindahl, E.; Hess, B.; Groenhof, G.; Mark, A. E.; Berendsen, H. J. C. Gromacs: Fast, Flexible and Free. J. Comput. Chem. 2005, 26, 1701−1718. (68) Florová, P.; Sklenovský, P.; Banás,̌ P.; Otyepka, M. Explicit Water Models Affect the Specific Solvation and Dynamics of Unfolded Peptides While the Conformational Behavior and Flexibility of Folded Peptides Remain Intact. J. Chem. Theory Comput. 2010, 6, 3569−3579. (69) Buck, U.; Pradzynski, C. C.; Zeuch, T.; Dieterich, J. M.; Hartke, B. A Size Resolved Investigation of Large Water Clusters. Phys. Chem. Chem. Phys. 2014, 16, 6859−6871. (70) Kumar, R.; Schmidt, J. R.; Skinner, J. L. Hydrogen Bonding Definitions and Dynamics in Liquid Water. J. Chem. Phys. 2007, 126, No. 204107. 9506


Article

The Journal of Physical Chemistry B (71) Buck, M.; Karplus, M. Hydrogen Bond Energetics: A Simulation and Statistical Analysis of N-Methyl Acetamide (NMA), Water, and Human Lysozyme. J. Phys. Chem. B 2001, 105, 11000−11015. (72) Hong, J.; Hu, Y.; Li, C.; Jia, Z.; Xia, B.; Jin, C. NMR Characterizations of the Ice Binding Surface of an Antifreeze Protein. PLoS One 2010, 5, No. e15682. (73) Kuffel, A.; Czapiewski, D.; Zielkiewicz, J. Unusual Structural Properties of Water within the Hydration Shell of Hyperactive Antifreeze Protein. J. Chem. Phys. 2014, 141, No. 055103. (74) Raman, E. P.; MacKerell, A. D. Rapid Estimation of Hydration Thermodynamics of Macromolecular Regions. J. Chem. Phys. 2013, 139, No. 055105. (75) Nguyen, C. N.; Young, T. K.; Gilson, M. K. Grid Inhomogeneous Solvation Theory: Hydration Structure and Thermodynamics of the Miniature Receptor Cucurbit[7]Uril. J. Chem. Phys. 2012, 137, No. 044101. (76) Drake, J. A.; Harris, R. C.; Pettitt, B. M. Solvation Thermodynamics of Oligoglycine with Respect to Chain Length and Flexibility. Biophys. J. 2016, 111, 756−767. (77) Gnanasekaran, R.; Agbo, J. K.; Leitner, D. M. Communication Maps Computed for Homodimeric Hemoglobin: Computational Study of Water-Mediated Energy Transport in Proteins. J. Chem. Phys. 2011, 135, No. 065103. (78) Gnanasekaran, R.; Xu, Y.; Leitner, D. M. Dynamics of Water Clusters Confined in Proteins: A Molecular Dynamics Simulation Study of Interfacial Waters in a Dimeric Hemoglobin. J. Phys. Chem. B 2010, 114, 16989−16996. (79) Leitner, D. M. Water-Mediated Energy Dynamics in a Homodimeric Hemoglobin. J. Phys. Chem. B 2016, 120, 4019−4027. (80) Agbo, J. K.; Gnanasekaran, R.; Leitner, D. M. Communication Maps: Exploring Energy Transport through Proteins and Water. Isr. J. Chem. 2014, 54, 1065−1073. (81) Xu, Y.; Leitner, D. M. Vibrational Energy Flow through the Green Fluorescent Protein−Water Interface: Communication Maps and Thermal Boundary Conductance. J. Phys. Chem. B 2014, 118, 7818−7826. (82) Chong, S.-H.; Ham, S. Anomalous Dynamics of Water Confined in Protein−Protein and Protein−DNA Interfaces. J. Phys. Chem. Lett. 2016, 7, 3967−3972. (83) Xu, Y.; Gnanasekaran, R.; Leitner, D. M. The Dielectric Response to Photoexcitation of GFP: A Molecular Dynamics Study. Chem. Phys. Lett. 2013, 564, 78−82. (84) Leitner, D. M. Thermal Boundary Conductance and Rectification in Molecules. J. Phys. Chem. B 2013, 117, 12820−12828. (85) Yu, X.; Leitner, D. M. Vibrational Energy Transfer and Heat Conduction in a Protein. J. Phys. Chem. B 2003, 107, 1698−1707. (86) Leitner, D. M. Energy Flow in Proteins. Annu. Rev. Phys. Chem. 2008, 59, 233−259. (87) Laine, J. M.; Amat, M.; Morgan, B. R.; Royer, W. E.; Massi, F. Insight into the Allosteric Mechanism of Scapharca Dimeric Hemoglobin. Biochemistry 2014, 53, 7199−7210. (88) Ikeda-Saito, M.; Yonetani, T.; Chiancone, E.; Ascoli, F.; Verzili, D.; Antonini, E. Thermodynamic Properties of Oxygen Equlibria of Dimeric and Tetrameric Hemoglobins from Scapharca Inaequivalvis. J. Mol. Biol. 1983, 170, 1009−1018. (89) Böhm, F.; Schwaab, G.; Havenith, M. Hydration Water Mapping around Alcohol Chains by THz Calorimetry Reveals Local Changes in Heat Capacity and Free Energy Upon Solvation. Angew. Chem., Int. Ed. 2017, 56, 9981−9985.

9507


Thermodynamics of Hydration Water around an Antifreeze Protein: A

Recommend Documents