Predictive Formulation Analytics

Predictive Formulation Analytics for rational designing of optimized protein formulations

Predictive Formulation Analytics for rational designing of optimized protein formulations

Predictive Formulation Analytics from ProJect Pharmaceutics offers an innovative scientific approach for designing optimized protein formulationsand reduces the need for extensive stability testing.

The stability of proteins in solution is mainly determined by intramolecular and intermolecular interactions. Intramolecular stability is characterized by protein thermodynamics which are measured by means of nano differencial scanning calorimetry (nanoDSC). Intermolecular stability is represented by the attractive or repulsive interaction between protein molecules which is quantified via composition gradient static light scattering (2nd virial coefficient).

Plying these state-of-the-art analytical methods to characterize the physicochemical state of proteins and analyze their response to certain excipients allows us to quickly and reliably identify promising formulation candidates.

A systematic algorithm based on design of experiments (DOE) is used to determine the most favorable composition for the native structure of a given protein with regard to its intra- and intermolecular physicochemical properties. Beneficial effects resulting from pH value, ionic strength, ion types, detergents and other stabilizing agents can be identified and quantified without stability testing. Furthermore we explore the behavior of the protein under a variety of process relevant stress conditions such as freeze/thaw, temperature, shear stress, surface contact, among others, to identify mechanisms of degradation and define strategies for formulation and process technologies.

Print Friendly