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Protein Folding01:22

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The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Chemometrics in Protein Formulation: Stability Governed by Repulsion and Protein Unfolding.

Alina Kulakova1, Dillen Augustijn2, Inas El Bialy3

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|May 5, 2023
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Summary

Developing therapeutic protein formulations is complex. This study found that pH and ionic strength are key factors, with protein-specific interactions influencing stability. Monitoring protein-protein repulsion and monomer fraction aids real-time storage stability prediction.

Keywords:
colloidal and conformational stabilitymultivariate data analysisprotein characterizationprotein formulationtherapeutic proteins

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Area of Science:

  • Biopharmaceutical Development
  • Protein Formulation Science
  • Analytical Chemistry

Background:

  • Therapeutic protein development faces challenges due to complexity and formulation requirements for safety and efficacy.
  • Current universal formulation strategies for proteins are lacking, hindering fast and reliable optimization.
  • Protein stability is crucial for ensuring therapeutic efficacy and patient safety.

Purpose of the Study:

  • To investigate factors influencing therapeutic protein stability across diverse formulations.
  • To develop predictive models for protein stability under various storage conditions.
  • To identify key indicators for real-time and accelerated stability prediction.

Main Methods:

  • High-throughput characterization using a five-technique toolbox.
  • Formulation of 14 structurally distinct proteins across 6 buffer conditions and 4 excipients.
  • Multivariate data analysis and chemometrics, including partial least-squares regression.

Main Results:

  • Protein stability is primarily determined by the individual protein's characteristics.
  • pH and ionic strength are critical factors for physical protein stability, with significant protein-pH/ionic strength interactions.
  • Colloidal stability indicators predict real-time stability, while conformational indicators predict accelerated stability.

Conclusions:

  • Protein-specific properties and formulation conditions (pH, ionic strength) are paramount for stability.
  • Predictive models utilizing partial least-squares regression can forecast protein stability.
  • Protein-protein repulsion and initial monomer fraction are vital for predicting real-time storage stability.