Conformational stability and self-association equilibrium in biologics

Area of Science:

• Biopharmaceutical science
• Protein chemistry
• Therapeutic protein development

Background:

• Biologics exist as a dynamic equilibrium of native, partially denatured, and denatured conformational states.
• The Gibbs energy dictates the population of these states, influenced by physical and solution conditions.
• Certain protein conformations can self-associate and aggregate, posing challenges for therapeutic applications.

Purpose of the Study:

• To explore the link between conformational equilibrium and self-association in proteins.
• To highlight how protein concentration impacts conformational stability and aggregation propensity.
• To provide insights into selecting protein variants and optimizing formulations for therapeutic biologics.

Main Methods:

• Analysis of conformational equilibrium across different protein concentrations.
• Thermodynamic assessment of conformational stability and self-association.
• Review of three distinct protein aggregation scenarios and their relation to conformational equilibrium.

Main Results:

• Conformational equilibrium and self-association are thermodynamically linked phenomena.
• Protein concentration is a critical factor influencing both conformational stability and aggregation.
• Studies at varying concentrations can predict potential aggregation issues in protein therapeutics.

Conclusions:

• Conformational stability studies at different protein concentrations are valuable for predicting aggregation.
• This approach aids in the selection of suitable protein variants.
• It also assists in identifying optimal formulation strategies to mitigate aggregation in biologics.