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Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Method qualification and application of diffusion interaction parameter and virial coefficient.

Shuai Shi1, Makiko Uchida, Jason Cheung

  • 1Sterile Product Development Group, Bioprocess Development, Merck Sharp & Dohme Corp., 181 Passaic Avenue, Summit, NJ 07901, United States.

International Journal of Biological Macromolecules
|October 8, 2013
PubMed
Summary

This study evaluated protein interaction methods, finding the second virial coefficient (B22) more reliable than diffusion interaction parameter (KD) for weak interactions. B22 analysis revealed buffer-dependent protein repulsion and potential for modeling concentrated solutions.

Keywords:
ANOVADiffusion interaction parameterProtein–protein interactionVariabilityVirial coefficient

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Area of Science:

  • Biochemistry
  • Biophysics
  • Protein Science

Background:

  • Understanding protein-protein interactions is crucial for biological processes and therapeutic development.
  • Weak interactions influence protein behavior in solution, affecting stability and function.
  • Accurate characterization of these interactions is essential for biopharmaceutical formulation.

Purpose of the Study:

  • To evaluate and compare two methods for studying weak protein-protein interactions: diffusion interaction parameter (KD) and second virial coefficient (B22).
  • To assess the reliability and statistical consistency of KD and B22 measurements.
  • To explore the application of these methods in concentrated protein solutions and different buffer conditions.

Main Methods:

  • Utilized a plate-based method to determine the diffusion interaction parameter (KD).
  • Employed dynamic light scattering (DLS) to measure the second virial coefficient (B22).
  • Applied comprehensive ANOVA analysis for statistical evaluation and used lysozyme as a model protein.

Main Results:

  • The KD method showed limitations in statistically distinguishing close protein interactions.
  • The DLS-based B22 method demonstrated reliability, with lower coefficients of variation for higher B22 values.
  • B22 measurements indicated more repulsive interactions for a MAb fragment in histidine buffer compared to citrate buffer.
  • Protein-protein interactions in concentrated solutions (>50 mg/mL) were suggested to be modeled by high-order virial expansions.

Conclusions:

  • The second virial coefficient (B22) is a more robust parameter than KD for quantifying weak protein-protein interactions.
  • Buffer composition significantly impacts protein-protein interactions, influencing repulsion or attraction.
  • High-order virial expansions offer a potential framework for modeling interactions in concentrated protein solutions.