Determining the Conformational Stability of a Protein from Urea and Thermal Unfolding Curves.

This article contains protocols for determining the conformational stability of a globular protein from either urea or thermal unfolding curves. Circular dichroism is the optical spectroscopic technique most commonly used to monitor protein unfolding. These protocols describe how to analyze data from an unfolding curve to obtain the thermodynamic parameters necessary to calculate conformational stability, and how to determine differences in stability between protein variants. Curr. Protoc. Protein Sci. 71:28.4.1-28.4.14. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Determining protein conformational stability from urea-induced unfolding curves Support Protocol 1: Preparing a urea stock solution Support Protocol 2: Analyzing urea unfolding curves Basic Protocol 2: Determining the conformational stability of a protein from thermal unfolding curves Support Protocol 3: Analyzing thermal unfolding curves Support Protocol 4: Determining differences in conformational stability for protein variants.

Contribution of hydrogen bonds to protein stability.

Our goal was to gain a better understanding of the contribution of the burial of polar groups and their hydrogen bonds to the conformational stability of proteins. We measured the change in stability, Δ(ΔG), for a series of hydrogen bonding mutants in four proteins: villin headpiece subdomain (VHP) containing 36 residues, a surface protein from Borrelia burgdorferi (VlsE) containing 341 residues, and two proteins previously studied in our laboratory, ribonucleases Sa (RNase Sa) and T1 (RNase T1). Crystal structures were determined for three of the hydrogen bonding mutants of RNase Sa: S24A, Y51F, and T95A. The structures are very similar to wild type RNase Sa and the hydrogen bonding partners form intermolecular hydrogen bonds to water in all three mutants. We compare our results with previous studies of similar mutants in other proteins and reach the following conclusions. (1) Hydrogen bonds contribute favorably to protein stability. (2) The contribution of hydrogen bonds to protein stability is strongly context dependent. (3) Hydrogen bonds by side chains and peptide groups make similar contributions to protein stability. (4) Polar group burial can make a favorable contribution to protein stability even if the polar groups are not hydrogen bonded. (5) The contribution of hydrogen bonds to protein stability is similar for VHP, a small protein, and VlsE, a large protein.

Determining the conformational stability of a protein from urea and thermal unfolding curves.

This unit contains basic protocols for determining the conformational stability of a globular protein from either urea or thermal unfolding curves. Circular dichroism is the optical spectroscopic technique most commonly used to monitor protein unfolding. The protocols describe how to analyze data from an unfolding curve to obtain the thermodynamic parameters necessary to calculate conformational stability, and how to determine differences in stability between protein variants.

Contribution of hydrophobic interactions to protein stability.

Our goal was to gain a better understanding of the contribution of hydrophobic interactions to protein stability. We measured the change in conformational stability, Δ(ΔG), for hydrophobic mutants of four proteins: villin headpiece subdomain (VHP) with 36 residues, a surface protein from Borrelia burgdorferi (VlsE) with 341 residues, and two proteins previously studied in our laboratory, ribonucleases Sa and T1. We compared our results with those of previous studies and reached the following conclusions: (1) Hydrophobic interactions contribute less to the stability of a small protein, VHP (0.6±0.3 kcal/mol per -CH(2)- group), than to the stability of a large protein, VlsE (1.6±0.3 kcal/mol per -CH(2)- group). (2) Hydrophobic interactions make the major contribution to the stability of VHP (40 kcal/mol) and the major contributors are (in kilocalories per mole) Phe18 (3.9), Met13 (3.1), Phe7 (2.9), Phe11 (2.7), and Leu21 (2.7). (3) Based on the Δ(ΔG) values for 148 hydrophobic mutants in 13 proteins, burying a -CH(2)- group on folding contributes, on average, 1.1±0.5 kcal/mol to protein stability. (4) The experimental Δ(ΔG) values for aliphatic side chains (Ala, Val, Ile, and Leu) are in good agreement with their ΔG(tr) values from water to cyclohexane. (5) For 22 proteins with 36 to 534 residues, hydrophobic interactions contribute 60±4% and hydrogen bonds contribute 40±4% to protein stability. (6) Conformational entropy contributes about 2.4 kcal/mol per residue to protein instability. The globular conformation of proteins is stabilized predominantly by hydrophobic interactions.

Measuring and increasing protein solubility.

High concentration protein delivery is difficult to achieve for several protein pharmaceuticals due to low solubility. In this review, we discuss different types of low protein solubility, including low in vitro solubility, which is relevant to the formulation of protein pharmaceuticals. We also discuss different methods of measuring protein solubility with an emphasis on the method of inducing amorphous precipitation using ammonium sulfate. Finally, we discuss strategies for increasing protein solubility, including site-directed mutagenesis. Evidence from solubility-changing mutations in the literature indicate that some hydrophilic residues (aspartic acid, glutamic acid, and serine) contribute significantly more favorably to protein solubility than other hydrophilic residues (asparagine, glutamine, threonine, lysine, and arginine). These findings should prove useful especially in cases where protein structure is not known. In these cases, instead of targeting hydrophobic residues that are often buried, one could target hydrophilic residues that do not contribute favorably to protein solubility and replace them with hydrophilic residues that contribute more favorably.

Increasing protein conformational stability by optimizing beta-turn sequence.

Protein conformational stability is an important concern in many fields. Here, we describe a strategy for significantly increasing conformational stability by optimizing beta-turn sequence. Proline and glycine residues are statistically preferred at several beta-turn positions, presumably because their unique side-chains contribute favorably to conformational stability in certain beta-turn positions. However, beta-turn sequences often deviate from preferred proline or preferred glycine. Therefore, our strategy involves replacing non-proline and non-glycine beta-turn residues with preferred proline or preferred glycine residues. Here, we develop guidelines for selecting appropriate mutations, and present results for five mutations (S31P, S42G, S48P, T76P, and Q77G) that significantly increase the conformational stability of RNase Sa. The increases in stability ranged from 0.7 kcal/mol to 1.3 kcal/mol. The strategy was successful in overlapping or isolated beta-turns, at buried (up to 50%) or completely exposed sites, and at relatively flexible or inflexible sites. Considering the significant number of beta-turn residues in every globular protein and the frequent deviation of beta-turn sequences from preferred proline and preferred glycine residues, this simple, efficient strategy will be useful for increasing the conformational stability of proteins.

Amino acid contribution to protein solubility: Asp, Glu, and Ser contribute more favorably than the other hydrophilic amino acids in RNase Sa.

Poor protein solubility is a common problem in high-resolution structural studies, formulation of protein pharmaceuticals, and biochemical characterization of proteins. One popular strategy to improve protein solubility is to use site-directed mutagenesis to make hydrophobic to hydrophilic mutations on the protein surface. However, a systematic investigation of the relative contributions of all 20 amino acids to protein solubility has not been done. Here, 20 variants at the completely solvent-exposed position 76 of ribonuclease (RNase) Sa are made to compare the contributions of each amino acid. Stability measurements were also made for these variants, which occur at the i+1 position of a type II beta-turn. Solubility measurements in ammonium sulfate solutions were made at high positive net charge, low net charge, and high negative net charge. Surprisingly, there was a wide range of contributions to protein solubility even among the hydrophilic amino acids. The results suggest that aspartic acid, glutamic acid, and serine contribute significantly more favorably than the other hydrophilic amino acids especially at high net charge. Therefore, to increase protein solubility, asparagine, glutamine, or threonine should be replaced with aspartic acid, glutamic acid or serine.

Asp79 makes a large, unfavorable contribution to the stability of RNase Sa.

The two most buried carboxyl groups in ribonuclease Sa (RNase Sa) are Asp33 (99% buried; pK 2.4) and Asp79 (85% buried; pK 7.4). Above these pK values, the stability of the D33A variant is 6kcal/mol less than wild-type RNase Sa, and the stability of the D79A variant is 3.3kcal/mol greater than wild-type RNase Sa. The key structural difference between the carboxyl groups is that Asp33 forms three intramolecular hydrogen bonds, and Asp79 forms no intramolecular hydrogen bond. Here, we focus on Asp79 and describe studies of 11 Asp79 variants. Most of the variants were at least 2kcal/mol more stable than wild-type RNase Sa, and the most interesting was D79F. At pH 3, below the pK of Asp79, RNase Sa is 0.3kcal/mol more stable than the D79F variant. At pH 8.5, above the pK of Asp79, RNase Sa is 3.7kcal/mol less stable than the D79F variant. The unfavorable contribution of Asp79 to the stability appears to result from the Born self-energy of burying the charge and, more importantly, from unfavorable charge-charge interactions. To counteract the effect of the negative charge on Asp79, we prepared the Q94K variant and the crystal structure showed that the amino group of the Lys formed a hydrogen-bonded ion pair (distance, 2.71A; angle, 100 degrees ) with the carboxyl group of Asp79. The stability of the Q94K variant was about the same as the wild-type at pH 3, where Asp79 is uncharged, but 1kcal/mol greater than that of wild-type RNase Sa at pH 8.5, where Asp79 is charged. Differences in hydrophobicity, steric strain, Born self-energy, and electrostatic interactions all appear to contribute to the range of stabilities observed in the variants. When it is possible, replacing buried, non-hydrogen bonded, ionizable side-chains with non-polar side-chains is an excellent means of increasing protein stability.