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Cosolute and Crowding Effects on a Side-By-Side Protein Dimer.

ABSTRACT: The effects of small (?102 Da) and larger (>103 Da) cosolutes on the equilibrium stability of monomeric globular proteins are broadly understood, excluding volume stabilizes proteins and chemical interactions are stabilizing when repulsive, but destabilizing when attractive. Proteins, however, rarely work alone. Here, we investigate the effects of small and large cosolutes on the equilibrium stability of the simplest defined protein-protein interactions, the side-by-side homodimer formed by the A34F variant of the 56-residue B1 domain of protein G. We used 19F nuclear magnetic resonance spectroscopy to quantify the effects of urea, trimethylamine oxide, Ficoll, and more physiologically relevant cosolutes on the dimer dissociation constant. The data reveal the same stabilizing and destabilizing influences from chemical interactions as observed in studies of protein stability. Results with more physiologically relevant molecules such as bovine serum albumin, lysozyme, and reconstituted Escherichia coli cytosol reflect the importance of chemical interactions between these cosolutes and the test protein. Our study serves as a stepping-stone to a more complete understanding of crowding effects on protein-protein interactions.

SUBMITTER: Guseman AJ

PROVIDER: S-EPMC5985514 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Cosolute and Crowding Effects on a Side-By-Side Protein Dimer.

Guseman Alex J AJ Pielak Gary J GJ

Biochemistry 20170209 7

The effects of small (∼10<sup>2</sup> Da) and larger (>10<sup>3</sup> Da) cosolutes on the equilibrium stability of monomeric globular proteins are broadly understood, excluding volume stabilizes proteins and chemical interactions are stabilizing when repulsive, but destabilizing when attractive. Proteins, however, rarely work alone. Here, we investigate the effects of small and large cosolutes on the equilibrium stability of the simplest defined protein-protein interactions, the side-by-side ho ...[more]

PMID: 28102665

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Project description:Many protein functions can be directly linked to conformational changes. Inside cells, the equilibria and transition rates between different conformations may be affected by macromolecular crowding. We have recently developed a new approach for modeling crowding effects, which enables an atomistic representation of "test" proteins. Here this approach is applied to study how crowding affects the equilibria and transition rates between open and closed conformations of seven proteins: yeast protein disulfide isomerase (yPDI), adenylate kinase (AdK), orotidine phosphate decarboxylase (ODCase), Trp repressor (TrpR), hemoglobin, DNA beta-glucosyltransferase, and Ap(4)A hydrolase. For each protein, molecular dynamics simulations of the open and closed states are separately run. Representative open and closed conformations are then used to calculate the crowding-induced changes in chemical potential for the two states. The difference in chemical-potential change between the two states finally predicts the effects of crowding on the population ratio of the two states. Crowding is found to reduce the open population to various extents. In the presence of crowders with a 15 A radius and occupying 35% of volume, the open-to-closed population ratios of yPDI, AdK, ODCase and TrpR are reduced by 79%, 78%, 62% and 55%, respectively. The reductions for the remaining three proteins are 20-44%. As expected, the four proteins experiencing the stronger crowding effects are those with larger conformational changes between open and closed states (e.g., as measured by the change in radius of gyration). Larger proteins also tend to experience stronger crowding effects than smaller ones [e.g., comparing yPDI (480 residues) and TrpR (98 residues)]. The potentials of mean force along the open-closed reaction coordinate of apo and ligand-bound ODCase are altered by crowding, suggesting that transition rates are also affected. These quantitative results and qualitative trends will serve as valuable guides for expected crowding effects on protein conformation changes inside cells.

Dataset Information

Cosolute and Crowding Effects on a Side-By-Side Protein Dimer.

Publications

Cosolute and Crowding Effects on a Side-By-Side Protein Dimer.

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