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Combined Effects of Pressure and Ionic Strength on Protein-Protein Interactions: An Empirical Approach.
Paul, Brian; Furst, Eric M; Lenhoff, Abraham M; Wagner, Norman J; Teixeira, Susana C M.
Affiliation
  • Paul B; Center for Neutron Science, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.
  • Furst EM; NIST Center for Neutron Research, National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, Maryland 20899, United States.
  • Lenhoff AM; Center for Neutron Science, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.
  • Wagner NJ; Center for Neutron Science, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.
  • Teixeira SCM; Center for Neutron Science, Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States.
Biomacromolecules ; 25(1): 338-348, 2024 01 08.
Article in En | MEDLINE | ID: mdl-38117685
ABSTRACT
Proteins are exposed to hydrostatic pressure (HP) in a variety of ecosystems as well as in processing steps such as freeze-thaw, cell disruption, sterilization, and homogenization, yet pressure effects on protein-protein interactions (PPIs) remain underexplored. With the goal of contributing toward the expanded use of HP as a fundamental control parameter in protein research, processing, and engineering, small-angle X-ray scattering was used to examine the effects of HP and ionic strength on ovalbumin, a model protein. Based on an extensive data set, we develop an empirical method for scaling PPIs to a master curve by combining HP and osmotic effects. We define an effective pressure parameter that has been shown to successfully apply to other model protein data available in the literature, with deviations evident for proteins that do not follow the apparent Hofmeister series. The limitations of the empirical scaling are discussed in the context of the hypothesized underlying mechanisms.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Ecosystem Language: En Journal: Biomacromolecules Journal subject: BIOLOGIA MOLECULAR Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Ecosystem Language: En Journal: Biomacromolecules Journal subject: BIOLOGIA MOLECULAR Year: 2024 Type: Article Affiliation country: United States