Polyethylene glycol (PEG) is a widely used precipitant to concentrate proteins. The effect of PEG is generally understood to be an entropic attraction between proteins due to the depletion effect of PEG around proteins. However, measurements by Bloustine et al. [Phys. Rev. Lett. 96, 087803 (2006)] of the liquid–liquid phase separation (LLPS) temperature have shown that a lysozyme solution is stabilized and destabilized by the addition of low and high molecular-weight PEG, respectively. They also presented a theoretical model of the LLPS temperature as a virial expansion of the free energy and concluded that, in addition to the depletion effect, the attractive interaction between protein and PEG is necessary to explain the experiments. In the present study, theoretical calculations based on liquid-state density functional theory utilizing coarse-grained models are conducted to demonstrate that the protein–PEG effective attraction is responsible for the suppression and promotion of LLPS upon the addition of low- and high-weight PEG, respectively. In contrast, if the interactions between the protein and the PEG are solely due to the excluded volume effect, PEG of any molecular weight destabilizes the solution. These results suggest the necessity to reconsider the conventional understanding of the effects of polymer addition, which have been historically attributed to solely the depletion force.

It has long been known that polyethylene glycol (PEG) is useful for protein crystallization.1 Precipitation by PEG has been widely used as a chemical and biomedical method to concentrate proteins at the initial stage of a purification process since PEG is a nontoxic, water-soluble synthetic polymer.2 The underlying mechanism of these phenomena has been interpreted in terms of excluded volume effects. One effect is the steric exclusion of the protein by PEG, which reduces the volume available for the translational movement of the protein within the solution.2,3 Consequently, the effective density of the protein increases, thereby making a liquid–liquid phase separation (LLPS) more likely. This effect is essentially proportional to the size of the protein and the PEG, although deviations from steric exclusion have been observed due to the attractive interactions between protein and PEG.4 Another effect is the depletion force, which is an effective attraction between colloidal particles (or proteins) resulting from the translational entropy of the polymer molecule.5,6 This is due to the exclusion of the polymer from the region between the colloids, which consequently increases the volume available for the translational movement of the polymer molecule in the solution when the proteins are in contact. These effects can be derived by assuming that the polymer–colloid interaction is of an excluded volume interaction.

The precipitation and crystallization of proteins are frequently related to the fact that protein solutions exhibit a metastable liquid–liquid phase separation with an upper critical point.7–11 The temperatures at which the liquid–liquid phase separation (LLPS) occurs are located in the supercooling region, which is lower than the temperatures at which the solid–liquid phase transition occurs. These temperatures are called the cloud point (Tcloud) due to the fact that transparent protein solutions become turbid at this temperature.8,9,11 As a protein solution cools down to Tcloud, liquid droplets with a high protein concentration form in a solution with a lower protein concentration.

The effect of PEG addition on Tcloud has been investigated for a variety of proteins. It has been reported that an increase in Tcloud with the addition of PEG accords with the aforementioned effects resulting from excluded volume interactions, including depletion force.12–16 Nevertheless, in the case of PEG with a low molecular weight, a decrease in Tcloud has been observed in both lysozyme17,18 and antibody19 solutions upon the addition of PEG. Therefore, both the suppression and promotion of LLPS by the addition of low and high molecular weight PEG cannot be comprehensively explained solely by the effects of the excluded volume interactions. This is because the excluded volume interactions always result in the promotion of LLPS, i.e., the destabilization of protein solution. Moreover, it has been shown that the impact of PEG addition on protein solubility is contingent upon the protonation/deprotonation of amino acids in response to pH alterations16,20 and the amino acid substitutions resulting from mutations.21,22 Bloustine et al. have also indicated that the depletion force alone is not sufficient to explain the behavior of LLPS. They have conducted a theoretical analysis based on a virial expansion demonstrating that an energetic attraction between lysozyme and PEG is necessary to explain the observed decrease in Tcloud for low molecular weight PEG.18 These preceding studies indicate that, in addition to protein–protein direct interactions, the attractions between protein and PEG play a crucial role in the stability of protein–PEG mixtures.

In the present study, we constructed an implicit solvent coarse-grained (CG) model of protein–PEG mixtures by considering a colloid particle and a polymer as a protein and PEG, respectively. We investigated how the polymer molecular weight and colloid–polymer (i.e., protein–PEG) attractive interactions affected polymer-mediated interactions between colloids. We revealed the molecular mechanism underlying the dependence of PEG size on Tcloud in the liquid–liquid phase separation of lysozyme–PEG mixtures.18 The colloid–colloid (protein–protein) interaction was modeled based on the Derjaguin–Landau–Verwey–Overbeek (DLVO) theory23,24 as the DLVO-type model potential VDLVOr.25–28 This potential was comprised of the screened Coulomb repulsive potential VDHr and Lennard-Jones (LJ) potential VijLJr,
(1a)
(1b)
where i and j are c (colloid) or p (polymer). In Eq. (1a), Z, e, ɛ0, and ɛr represent the net charge of the colloid (protein), elementary charge, dielectric permittivity of the vacuum, and dielectric constant of the solvent, respectively. In Eq. (1b), ϵij and dij are, respectively, the depth of the potential well and the distance at which VijLJr becomes zero. The κ in Eq. (1a) is the reciprocal Debye–Hückel (DH) screening length 2e2/ε0I/εrkBT1/2, where I is the ionic strength 1/2icizi2 with the concentration ci and valences zi of ions. The length of the short axis for an ellipsoid shape model of lysozyme was employed as the dc in Eq. (1a). The parameters utilized in Eq. (1a) for aqueous solutions of lysozyme that were investigated in this study are listed in Table S1 of the supplementary material.
With regard to the CG model of polymer (PEG), a freely jointed chain (FJC) consisting of Lennard-Jones (LJ) particles was employed. The persistent length of PEG in water had been estimated to be 3.8 Å by molecular dynamics simulations.29 Consequently, this value was employed to determine the number of CG segments such that the FJC, i.e., the ideal chain model, would reproduce the radius of gyration for each PEG with a molecular weight of 1 and 35 kg/mol that were examined here (Table S2 of the supplementary material). The LJ parameters in Eq. (1b), which were employed for all the polymers (PEGs) (Table S3 of the supplementary material), were determined such that the experimentally observed molecular weight-dependent Tcloud was reproduced by the CG models. Here, Tcloud was assumed to be nearly equal to the temperature at the spinodal point.18 From the condition for thermodynamic instability [see Eq. (A4) of the supplementary material], we can derive the following approximate equation that relates Tcloud to the number density of colloids at the cloud point ρc,cloud using the osmotic second virial coefficient BTcloud,ρp at a certain number density of polymer (PEG) ρp (see the supplementary material),
(2)
Here, BT,ρp is calculated at the infinite dilution of colloids from a Kirkwood–Buff integral, namely, the volume integral of the pair correlation function between colloids hccr as follows:
(3)
Here, hccr is related to the pair distribution function between colloids gccr via hccr=gccr1. According to the virial expansion of an osmotic pressure under the constant chemical potential of the solvent and polymer (see the supplementary material), BT,ρp is given by the effective interaction between the colloids. This encompasses all the interactions that mediate the effective colloid–colloid interactions, indicating that the effects of the colloid–polymer and polymer–polymer interactions considered in the present model are included in BT,ρp. We introduced a semipermeable membrane that allows only polymers and solvents to pass through. This virtual system serves to extract BT,ρp as the result of the polymer-induced effective interaction between the colloids. Moreover, it allows for the instability of the polymer–colloid mixture to be related to BT,ρp. It is not necessary for such a semipermeable membrane to really exist for this purpose. Indeed, Eq. (2) can be derived from a spinodal condition for the system without recourse to a semipermeable membrane or osmotic pressure.30 

Given a specific ρc,cloud at the cloud point, the corresponding temperature Tcloud can be identified such that the ρc value given by Eq. (2) at a specific temperature is equivalent to the ρc,cloud. The temperature at which the cloud point is reached, Tcloud, is determined by repeatedly calculating BT,ρp using Eq. (3) at a range of temperatures. First, utilizing Eq. (2) at a lysozyme concentration of 48 mg/ml,18, ϵcc in VccLJr by Eq. (1b) was optimized to quantitatively reproduce Tcloud for the lysozyme solution without PEG. Subsequently, the ϵcc value in VccLJr was fixed, and ϵpc in VpcLJr by Eq. (1b) was optimized such that the CG model qualitatively reproduced the experimentally observed PEG concentration dependence of Tcloud for both the 1 and 35 kg/mol PEGs.18 As indicated by Eq. (2), a spinodal decomposition is expected to occur when B is negative, as the right-hand side of Eq. (2) should be positive. In other words, if the effective interaction Vcceffr=VDLVOr+VccPolymerr yields an appropriate attraction between colloids, the spinodal decomposition will occur at Tcloud and ρc,cloud, where VccPolymerr is the polymer-induced interaction. The calculations of B were conducted by using integral equations for pair correlation functions between colloids hccr, between the CG segment of polymer and colloid hpcr, and between the CG segments of the polymer hppr. These integral equations were developed based on density functional theory (DFT) for polymer–colloid mixtures31–33 (see the supplementary material). The integral equations exhibited a monotonic and reliable convergence due to the infinite dilution condition of the colloid. The solution demonstrated sufficient convergence to allow for the determination of Tcloud.

In Fig. 1(a), the experimentally observed Tcloud of a lysozyme–PEG mixture at a lysozyme concentration of 48 mg/ml is shown as a function of PEG concentration CPEG in the cases of PEG molecular weight 1 and 35 kg/mol.18 The addition of the high molecular weight PEG promotes the LLPS and increases Tcloud, indicating that the mixture is destabilized. Conversely, the addition of the low molecular weight PEG results in the suppression of LLPS and a decrease in Tcloud, indicating that the mixture is stabilized. It should be noted that, in this experiment, the number densities of the polymer units of the low and high molecular weight PEGs added to the solution are equivalent at each CPEG. Consequently, the opposing polymer-induced protein–protein interactions should be attributed to the difference in the degree of polymerization of the added PEGs with different molecular weights. In the pair distribution functions between colloids gccr [Fig. 1(b)], which were used for the calculation of B, at the distances smaller than 4.5 nm, gccr with 35 kg/mol PEG almost overlaps gccr without PEG around the first maximum, while gccr with 1 kg/mol PEG is lower than that without PEG. On the other hand, at distances exceeding 4.5 nm, gccr with 35 kg/mol PEG is higher than gccr without PEG, while gccr with 1 kg/mol PEG is nearly superimposed on gccr without PEG but appears slightly higher. The reason for using 4.5 nm here is that, regardless of CPEG, gccrs after adding the 1 kg/mol PEG cross gccr without PEG addition at this distance. To summarize, the high and low molecular weight PEGs mainly influence the polymer-mediated interaction VccPolymerr at large and small distances, respectively.

FIG. 1.

Addition of low-molecular-weight PEGs stabilizes the mixture of lysozyme and PEG, thereby suppressing the LLPS, whereas that of high-molecular-weight PEGs conversely destabilizes the mixture, promoting the LLPS. (a) Tcloud as a function of PEG concentration CPEG for two different molecular weights of PEG of 1 and 35 kg/mol at the lysozyme concentration of 48 mg/ml. The theoretical results of Tcloud are compared with the experimental data.18 The lines are merely guides to the eye. (b) The pair distribution functions between colloids gccr at the infinite dilution of colloids with the addition of 30 mg/ml of 1 and 35 kg/mol PEGs at the temperature of 279 K. This temperature corresponds to Tcloud without PEG addition. For comparison, the gccr without PEG addition is also shown. The vertical dotted line indicates the radial distance r = 4.5 nm, which was employed to divide B into the short-range part Bshort and the long-range part Blong. (c) Change in the osmotic second virial coefficient ΔB, defined as BCPEGB0, upon the addition of the 35 kg/mol PEG at 279 K. The short-range part ΔBshort (r 4.5 nm) and long-range part ΔBlong (r > 4.5 nm) are shown as a function of PEG concentration CPEG. (d) The same as (c), except that the 35 kg/mol PEG is replaced by the 1 kg/mol PEG.

FIG. 1.

Addition of low-molecular-weight PEGs stabilizes the mixture of lysozyme and PEG, thereby suppressing the LLPS, whereas that of high-molecular-weight PEGs conversely destabilizes the mixture, promoting the LLPS. (a) Tcloud as a function of PEG concentration CPEG for two different molecular weights of PEG of 1 and 35 kg/mol at the lysozyme concentration of 48 mg/ml. The theoretical results of Tcloud are compared with the experimental data.18 The lines are merely guides to the eye. (b) The pair distribution functions between colloids gccr at the infinite dilution of colloids with the addition of 30 mg/ml of 1 and 35 kg/mol PEGs at the temperature of 279 K. This temperature corresponds to Tcloud without PEG addition. For comparison, the gccr without PEG addition is also shown. The vertical dotted line indicates the radial distance r = 4.5 nm, which was employed to divide B into the short-range part Bshort and the long-range part Blong. (c) Change in the osmotic second virial coefficient ΔB, defined as BCPEGB0, upon the addition of the 35 kg/mol PEG at 279 K. The short-range part ΔBshort (r 4.5 nm) and long-range part ΔBlong (r > 4.5 nm) are shown as a function of PEG concentration CPEG. (d) The same as (c), except that the 35 kg/mol PEG is replaced by the 1 kg/mol PEG.

Close modal

To quantify the contribution to B made by the polymer-induced interaction VccPolymerr, the change in B upon adding PEG, ΔBBCPEGB0, was divided into the short-range part ΔBshort (r 4.5 nm) and the long-range part ΔBlong (r > 4.5 nm). In light of the abovementioned observation of gccr, the dividing length of 4.5 nm was employed to primarily interpret the result of the 1 kg/mol PEG, whereas the choice did not affect the understanding of the result of the 35 kg/mol PEG, as will be discussed below. Upon the addition of 35 kg/mol PEG [Fig. 1(c)], both the long-range part (r > 4.5 nm) and the short-range part (r 4.5 nm) of VccPolymerr resulted in a decrease in ΔBlong and ΔBshort, respectively. This indicates that both the long-range and short-range parts of VccPolymerr contribute to the observed increase in Tcloud. Conversely, upon the addition of 1 kg/mol PEG, ΔBlong exhibited a decrease, while ΔBshort exhibited a sufficiently large increase [Fig. 1(d)]. As a result, Tcloud decreases with increasing CPEG. In conclusion, the difference in the effect of PEG addition in relation to the difference in molecular weights is primarily attributable to the short-range behavior of VccPolymerr, which depends on the polymer molecular weight.

To investigate the impact of the polymer–colloid attractive interaction on the polymer-induced interaction VccPolymerr, the value of ΔB was calculated for the addition of 30 mg/ml PEG at 279 K (Tcloud without PEG), while varying the polymer–colloid interaction parameter ϵpc [Fig. 2(a)]. For comparison, the value of ΔB for excluded volume interaction models was also calculated, where VpcLJr was equal to zero for rdpc. This means that all the attractions between polymer and colloid were completely ignored. It should be noted that a positive ΔB indicates repulsive VccPolymerr. The excluded volume interaction models consistently yield a negative and nearly constant value of ΔB, regardless of the polymer molecular weight, even if ϵpc is varied. Consequently, VccPolymerr is, regardless of the polymer molecular weight, attractive as predicted by the depletion theory5,6 if we completely ignore the attractive interactions between polymer and colloid. These observations indicate that the polymer-induced repulsive interaction between colloids that is responsible for the decrease in Tcloud by the low molecular weight PEG cannot be reproduced solely by the excluded volume interactions between polymer and colloid. On the other hand, the low and high molecular weight polymer models with attractive interactions between polymer and colloid result in the repulsive and attractive VccPolymerr, respectively. In conclusion, the attractive interaction between the polymer and the protein is necessary for a comprehensive explanation of the experimentally observed decrease and increase in Tcloud for the low and high molecular weight PEG, respectively.18 With regard to the experimental evidence that lends support to the finding, entropic and enthalpic attractive interactions between lysozyme and PEG have been observed for low molecular weight (2 kg/mol) PEG, where the entropic attraction would be due to dehydration from both the lysozyme and the PEG.34 Furthermore, the determined binding constant is in reasonable agreement with that previously reported for higher molecular weight PEGs.35 

FIG. 2.

Weak effective attractive interactions between lysozyme and PEG play a crucial role in both the low molecular weight PEG-induced stabilization of lysozyme–PEG mixtures and the high molecular weight PEG-induced destabilization. (a) Change in B by adding PEG with 30 mg/ml, ΔB, upon varying the polymer–colloid interaction parameter ϵpc at 279 K. The results calculated from the excluded volume interaction models that solely account for the steric repulsion as the colloid–polymer interaction and from the models that account for weak effective attractions between colloid and polymer are compared. The dashed vertical line in Fig. 2(a) indicates the ϵpc value for the baseline model. (b) and (c) ΔBs upon the addition of (b) 1 kg/mol PEG and (c) 35 kg/mol PEG that are divided into the short-range part ΔBshort and long-range part ΔBlong are shown as a function of ϵpc.

FIG. 2.

Weak effective attractive interactions between lysozyme and PEG play a crucial role in both the low molecular weight PEG-induced stabilization of lysozyme–PEG mixtures and the high molecular weight PEG-induced destabilization. (a) Change in B by adding PEG with 30 mg/ml, ΔB, upon varying the polymer–colloid interaction parameter ϵpc at 279 K. The results calculated from the excluded volume interaction models that solely account for the steric repulsion as the colloid–polymer interaction and from the models that account for weak effective attractions between colloid and polymer are compared. The dashed vertical line in Fig. 2(a) indicates the ϵpc value for the baseline model. (b) and (c) ΔBs upon the addition of (b) 1 kg/mol PEG and (c) 35 kg/mol PEG that are divided into the short-range part ΔBshort and long-range part ΔBlong are shown as a function of ϵpc.

Close modal

Figure 2(a) illustrates that the low and high molecular weight PEGs exhibit positive and negative values for ΔB, respectively, and that these values decrease slightly and largely, respectively, with increasing ϵpc. To characterize the difference in ΔBs between the low and high molecular weight PEGs, ΔB is divided into the short-range part ΔBshort and the long-range part ΔBlong again [Figs. 2(b) and 2(c)]. In the case of 1 kg/mol PEG, ΔBshort is a positive value and almost constant, while ΔBlong takes a small negative value and slightly decreases with increasing ϵpc [Fig. 2(b)]. Consequently, the polymer-induced repulsion in VccPolymerr is predominantly attributed to the short-range part, while the weakening in the polymer-induced repulsion along with ϵpc [the slight decrease in ΔB as shown in Fig. 2(a)], is due to the strengthening of the long-range attraction in VccPolymerr. In the case of 35 kg/mol PEG, ΔBlong is consistently negative, as observed in the case of 1 kg/mol PEG. In contrast, ΔBshort varies from positive to negative with increasing ϵpc [Fig. 2(c)]. Consequently, particularly for the small ϵpc, the negative value of ΔB, which represents the polymer-induced attraction, is predominantly attributed to the long-range part in VccPolymerr. The short-range repulsion is also observed even for the 35 kg/mol PEG, provided that ϵpc is sufficiently small [Fig. 2(c)]. While the magnitude of ΔBshort for the 35 kg/mol PEG varies significantly with ϵpc, the underlying mechanism of the short-range repulsion would be consistent with that found for 1 kg/mol PEG. This is discussed in greater detail below. The decrease in ΔB, indicative of an increase in polymer-induced attraction, with increasing ϵpc [Fig. 2(a)], is due to the concurrent strengthening of both the long-range and short-range parts of VccPolymerr [Fig. 2(c)]. It is notable that the baseline model, which incorporates the attractive interaction between polymer and colloid indicated by the dashed vertical line, yields a polymer-induced attractive interaction between colloids that is comparable with the depletion effect caused by the excluded volume interaction model [Fig. 2(a)]. Furthermore, the polymer-induced attractive interaction is significantly strengthened by the increase in the polymer–colloid attraction [Fig. 2(a)]. This observation indicates that the underlying mechanism of the polymer-induced attraction between colloids should be different from the depletion effect and attributable to the formation of a polymer adsorption layer, namely, the excess free energy due to the density gradient of the polymers.36,37 This effect will henceforth be simply referred to as interfacial tension. The formation of a polymer depletion region around colloids gives rise to an interfacial tension effect despite the density gradient of the polymers being completely opposite to our systems.36,37 This results in colloid–colloid attractions, which are known as depletion forces. It is important to note, however, that the effect of the depletion force is not included in the underlying mechanism of the computational results that we have presented here by introducing the polymer–colloid attraction.

To gain insights into the effects of the collision pressure of polymeric segments on colloids and the interfacial tension, the relationship between the intercolloidal distances and the distribution of polymer segments around a colloid was investigated. Here, the polymer cloud surrounding a colloid was defined by the distance r where the pair distribution function between polymer segment and colloid gpcr is larger than 1. Figures 3(a) and 3(b) depict the polymer cloud surrounding a colloid (white circle with a black solid line) as a blue translucent partial circle for the low and high weight PEG, respectively. Another colloid is introduced as a test colloid particle (shaded circle with a blue dashed line) into the polymer cloud surrounding the central colloid at an intercolloidal distance of 4 nm [Figs. 3(a) and 3(b)]. For the sake of simplicity, the polymer cloud surrounding the test colloid is not shown in Figs. 3(a) and 3(b). This intercolloidal distance is slightly smaller than the distance used to divide ΔB, 4.5 nm [Figs. 3(a) and 3(b)]. In the case of low molecular weight PEG [Fig. 3(a)], since the surface of the test colloid is partially covered by the polymer cloud, the pressure exerted by the polymer collision on the test colloid particle from the side near the central colloid is greater than that exerted from the side farther away. The short-range part in VccPolymerr caused by the low molecular weight PEG is attributed to a repulsive interaction resulting from the polymer collision pressure that overcomes the interfacial tension effect due to the polymer adsorption layer mentioned above. On the other hand, in the case of high molecular weight PEG [Fig. 3(b)], the entire surface of the test colloid, including the side farther away from the central colloid, is fully covered by the polymer cloud at this intercolloidal distance. However, gpcr on the side near the central one appears to be higher than gpcr on the side farther away from that, as indicated by the red bidirectional arrows. Consequently, the pressure exerted by polymer collisions on the test colloid particle from the side near the central colloid is stronger than that exerted from the far side. Nevertheless, the interfacial tension effect due to the large polymer adsorption layer formed by the high molecular weight PEG would be more pronounced than the polymer collision effect. As a result, the short-range part of VccPolymerr by the high molecular weight PEG acts as an attractive interaction, depending on ϵpc [see Fig. 2(c)].

FIG. 3.

Adsorption of polymers on colloids results in a short-range repulsion against the other colloids due to the collision pressure of the polymers on the colloids, in addition to both the colloid–colloid attraction due to the interfacial tension. (a) and (b) The schematic images of polymer adsorption (blue translucent partial circle) to a colloid (white circle with a black solid line) based on the pair distribution function between polymer and colloid gpcr for the baseline model upon the addition of (a) 1 kg/mol PEG and (b) 35 kg/mol PEG (T = 279 K, CPEG = 30 mg/ml). The polymer cloud around the central colloid is depicted using the distance r where gpcr is larger than 1. The shaded circle with a blue broken line indicates a test colloidal particle inserted into the polymer cloud surrounding the central colloid. (c) Schematic picture of two colloids separated by 6 nm from each other and low molecular weight polymers adsorbing to each colloid. The blue and black arrows in these figures indicate the polymer collision forces acting on the colloid surface and the full polymer-induced forces, which also include the interfacial tension. The former is estimated based on the height of gpcr that is indicated by the red bidirectional arrows. The latter, the direction of the total polymer-induced force, is depicted based on the gradient of VccPolymerr with respect to r [Fig. 1(b)].

FIG. 3.

Adsorption of polymers on colloids results in a short-range repulsion against the other colloids due to the collision pressure of the polymers on the colloids, in addition to both the colloid–colloid attraction due to the interfacial tension. (a) and (b) The schematic images of polymer adsorption (blue translucent partial circle) to a colloid (white circle with a black solid line) based on the pair distribution function between polymer and colloid gpcr for the baseline model upon the addition of (a) 1 kg/mol PEG and (b) 35 kg/mol PEG (T = 279 K, CPEG = 30 mg/ml). The polymer cloud around the central colloid is depicted using the distance r where gpcr is larger than 1. The shaded circle with a blue broken line indicates a test colloidal particle inserted into the polymer cloud surrounding the central colloid. (c) Schematic picture of two colloids separated by 6 nm from each other and low molecular weight polymers adsorbing to each colloid. The blue and black arrows in these figures indicate the polymer collision forces acting on the colloid surface and the full polymer-induced forces, which also include the interfacial tension. The former is estimated based on the height of gpcr that is indicated by the red bidirectional arrows. The latter, the direction of the total polymer-induced force, is depicted based on the gradient of VccPolymerr with respect to r [Fig. 1(b)].

Close modal

Next, in order to interpret the long-range attraction in VccPolymerr observed for the low molecular weight PEG [Fig. 2(b)], the polymer cloud surrounding two colloidal particles that are separated by the intercolloidal distances exceeding the dividing distance of 4.5 nm is depicted for the low molecular weight PEG [Fig. 3(c)]. The excess free energy generated in the interface between the polymer cloud and the bulk solution, which is indicated by the red curve in Fig. 3(c), results in the attraction between the colloids up to the distances where the polymer clouds do not overlap. The short- and long-range attractions caused by the high molecular weight PEG [see Fig. 2(c)] result from the interfacial tension similar to that shown in Fig. 3(c). As previously stated, it cannot be ruled out that the possibility that the effect of interfacial tension-induced attraction between the colloids is included in ΔBshort is not only for the high molecular weight PEG but also for the low molecular weight PEG.

In summary, we have elucidated the effects of PEG molecular weight and protein–PEG attraction on PEG-mediated protein interactions using implicit solvent CG models of protein–PEG mixtures. Our findings indicate that the weak effective attractions between protein (colloid) and PEG (polymer) can reproduce both the experimentally observed increase and decrease in Tcloud upon the addition of high and low molecular weight PEG, respectively.18 This is consistent with a prior theoretical analysis for the low molecular weight PEG based on the virial expansion presented by Bloustine et al.18 The key point is that the PEG-mediated instability of the protein solution can be explained not only by the depletion of the polymers around the protein but also by the formation of an adsorption layer of polymers to a protein. The effect of the formation of a polymer adsorption layer was necessary to comprehensively reproduce the experimentally observed increase and decrease in Tcloud upon the addition of high and low molecular weight PEGs, respectively.18 Moreover, the behavior that the stronger the polymer adsorption, the stronger the polymer-mediated attraction between colloids, is essentially different from the depletion force caused by excluded volume interactions between polymer and colloid. These findings indicate that the classical view of the polymer-dependent phase behavior of colloidal dispersions based on the depletion effects solely due to the excluded volume interactions between colloid and polymer should be partially revisited.

It is important to acknowledge the limitations of this study, which include the utilization of an implicit solvent model and a simplified representation of the protein molecule as a colloidal particle in accordance with the DLVO-type model potential. The impact of polymer adsorption on the protein, resulting from the polymer–protein attractive interaction, could be overestimated in our coarse-grained model due to the absence of the explicit solvent molecules, which also solvate the protein. Nevertheless, it is certain that the stabilization of the protein solution by low molecular weight PEG is attributed to the adsorption of the polymer onto the protein. In fact, deviations from a simple exclusion model have been observed, especially for low molecular weight PEG.38,39 However, the molecular mechanism of a size-dependent effect on the effective interactions between protein and PEG is unclear and has not been considered in our modeling. This may also be the reason why our model predicts the polymer adsorption on the protein even in the case of high molecular weight PEG, contrary to the assumption employed in the depletion theory.

The influence of complex protein structures and the effects of local interactions between sites of the protein surface cannot be taken into consideration directly. It has been shown that isotropic models, such as the DLVO-type potential, yield a liquid–liquid coexistence curve that is too narrow and/or an overestimation of the critical temperature.40 In contrast, in the present study, the parameter of the attractive interaction in the DLVO-type model was optimized for a single experimental cloud point, and then the impact of PEG addition on the cloud point temperature was examined. The impact of randomly distributed protein–protein interaction sites on the protein surface has been demonstrated to reproduce the liquid–liquid phase behavior of lysozyme solutions based on Wertheim’s theory of associating fluids.41 Furthermore, the DLVO-type theory is unable to account for the chemical specificity of the electrolyte ions, as has been observed in the solubility of lysozyme in the presence of various alkaline salts.42 It will be necessary in the future to examine the applicability of the findings of this study to antibodies and to examine the capability of the present CG modeling approach to reproduce the experimental observations of PEG-mediated interactions between other proteins.

The supplementary material provides detailed information on the model parameters, an analysis of spinodal decomposition in colloid–polymer mixtures, and a concise explanation of the density functional theory for mixtures of colloid and polymer.

This work was supported in part by JSPS KAKENHI Grant Nos. JP20K05431, JP22H01888, and JP21K06503.

The authors have no conflicts to disclose.

Yoshihiro Osaka: Data curation (lead); Formal analysis (lead); Investigation (lead); Visualization (lead); Writing – original draft (equal); Writing – review & editing (equal). Ryuichi Okamoto: Validation (equal); Writing – review & editing (equal). Tomonari Sumi‡: Conceptualization (lead); Funding acquisition (lead); Methodology (lead); Project administration (lead); Resources (lead); Software (lead); Supervision (lead); Writing – original draft (lead); Writing – review & editing (lead). Kenichiro Koga: Supervision (equal); Validation (equal); Writing – review & editing (equal). Hiroshi Imamura: Validation (equal); Writing – review & editing (equal). Tsuyoshi Shirai: Validation (equal); Writing – review & editing (equal). Yasuhiro Isogai: Validation (equal); Writing – review & editing (equal).

The data that support the findings of this study are available within the article and its supplementary material. The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

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