Molecular simulation as a computational pharmaceutics tool to predict drug solubility, solubilization processes and...

Area of Science:

• Computational chemistry
• Pharmaceutical sciences

Background:

• Solubility is a critical parameter in pharmaceutical development.
• Understanding solubilization processes is essential for drug formulation.
• Traditional methods for solubility assessment can be limited.

Purpose of the Study:

• To review the application of computational methods for calculating solubility.
• To highlight the value of molecular dynamics simulations in this area.
• To provide insights into alternative computational techniques and theories.

Main Methods:

• Classical molecular dynamics simulations.
• COSMO-based computational methods.
• Flory-Huggins theory and solubility parameters.

Main Results:

• Computational simulations provide a detailed understanding of the solubilization process.
• Molecular dynamics simulations can accurately predict solubility.
• Various computational approaches offer complementary insights.

Conclusions:

• Computational methods, particularly molecular dynamics, are powerful tools for solubility prediction.
• These methods offer a deeper understanding beyond traditional approaches.
• Pharmaceutical researchers can benefit from exploring these computational possibilities.