Buffer Screening of Protein Formulations Using a Coarse-Grained Protocol Based on Medicinal Chemistry Interactions.

Area of Science:

• Biophysics
• Computational Chemistry
• Pharmaceutical Sciences

Background:

• Protein formulation stability is critical for drug and vaccine development.
• Current experimental methods like design-of-experiment (DoE) are costly and lack mechanistic insights.

Purpose of the Study:

• To develop a physics-based simulation protocol for efficient buffer screening of protein formulations.
• To provide a digital framework for optimizing protein stability and predicting biomolecular interactions.

Main Methods:

• A coarse-grained molecular simulation protocol incorporating six medicinal chemistry interactions.
• Poisson-Boltzmann equation for isoelectric point determination.
• Dissipative Particle Dynamics (DPD) simulations for oligomerization studies.

Main Results:

• The protocol analyzes protein behavior across various pH, temperature, and ionic strength conditions.
• It enables the study of protein formulations at relevant time and space scales.
• Integration with AI protein folding algorithms enhances its application.

Conclusions:

• The developed simulation protocol offers a powerful, cost-effective alternative to extensive physical testing.
• It facilitates in-depth understanding of protein formulation mechanisms.
• This framework supports advanced pharmaceutical and biological applications.