Utilizing Molecular Simulations to Examine Nanosuspension Stability.

Area of Science:

• Pharmaceutical Sciences
• Computational Chemistry
• Materials Science

Background:

• Drug nanosuspensions enhance bioavailability for poorly soluble compounds.
• Excipients are crucial for nanosuspension stability, but selection lacks clear rationale.
• Molecular-level understanding of drug-excipient interactions is needed for rational formulation design.

Purpose of the Study:

• To computationally investigate drug-excipient interactions using molecular dynamics simulations.
• To identify key molecular properties predicting nanosuspension stability.
• To develop a predictive model for rational nanosuspension formulation design.

Main Methods:

• Molecular dynamics simulations to study drug-excipient interactions.
• Analysis of hydrophobic interactions and polar surface area for stability prediction.
• Prospective application of the model to a novel drug compound (GDC-0810).

Main Results:

• Hydrophobic interactions were identified as the primary driver of excipient adsorption to drug nanoparticles.
• The fraction of polar surface area accurately predicted experimental nanosuspension stability.
• Simulations correctly predicted that a salt form of GDC-0810 would yield more stable nanosuspensions.

Conclusions:

• Computational tools offer molecular insights into drug-excipient interactions for rational formulation design.
• Predictive models based on molecular properties can guide excipient selection and improve drug bioavailability.
• Simplified, 2D molecular properties can rationalize nanosuspension design, reducing the need for computationally intensive simulations.