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Related Experiment Videos

Pattern formation and fluctuation-induced transitions in protein crystallization.

Gregoire Nicolis1, Vasileios Basios, Catherine Nicolis

  • 1Center for Nonlinear Phenomena and Complex Systems, Université Libre de Bruxelles, C.P. 231, Bvd. du Triomphe, 1050 Brussels, Belgium.

The Journal of Chemical Physics
|July 23, 2004
PubMed
Summary

This study presents a kinetic model for protein crystallization, detailing nucleation, particle growth, and pattern formation. The model reveals numerous stable patterns and how fluctuations influence transitions between them.

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Area of Science:

  • * Chemical Engineering
  • * Materials Science
  • * Physical Chemistry

Background:

  • * Understanding protein crystallization is crucial for drug development and materials science.
  • * Existing models often simplify the complex interplay of nucleation, growth, and pattern formation.
  • * Macroscopic pattern evolution in crystallization systems requires detailed kinetic analysis.

Purpose of the Study:

  • * To develop a comprehensive kinetic model for protein crystallization.
  • * To investigate the nucleation, growth, competition, and macroscopic pattern formation stages.
  • * To analyze pattern multiplicity, stability, and transitions influenced by fluctuations.

Main Methods:

  • * Development of a kinetic model incorporating nucleation and particle growth.

Related Experiment Videos

  • * Simulation using different model versions: a 1D reactor, a two-box model, and space-averaged models.
  • * Analysis of pattern formation, stability, and kinetic transitions under fluctuating conditions.

    • Main Results:

    • * The kinetic model successfully accounts for multiple stages of protein crystallization.
    • * High multiplicity of macroscopic patterns was observed across different model versions.
    • * Insights into pattern stability and the kinetics of state transitions due to fluctuations were obtained.

    Conclusions:

    • * The developed kinetic model provides a robust framework for studying protein crystallization.
    • * The study highlights the significant role of fluctuations in driving pattern transitions.
    • * Findings offer valuable information for controlling and predicting protein crystallization outcomes.