Predicting the octanol solubility of organic compounds

Area of Science:

• Physical Chemistry
• Computational Chemistry
• Drug Discovery

Background:

• Molar octanol solubility is crucial for understanding drug absorption and environmental fate.
• Predicting solubility is challenging due to complex intermolecular interactions.
• Current methods often require experimental data, limiting high-throughput screening.

Purpose of the Study:

• To establish criteria for predicting octanol-water miscibility of organic compounds.
• To enable accurate prediction of molar octanol solubility using melting point.
• To develop a reliable method for estimating solubility parameters and molar volumes.

Main Methods:

• Utilized molar volume and solubility parameter to assess liquid miscibility with octanol.
• Developed predictive criteria for the miscibility of real or hypothetical super-cooled liquid forms.
• Correlated predicted miscibility with experimental octanol solubility data.

Main Results:

• Established criteria for predicting miscibility, applicable to most organic compounds and drugs.
• Demonstrated that octanol solubility is proportional to melting point for miscible compounds.
• Achieved over 95% prediction accuracy for octanol solubilities within 1 logarithmic unit.

Conclusions:

• Melting point is a reliable predictor of octanol solubility for compounds meeting miscibility criteria.
• The developed criteria enhance the prediction of solubility for organic nonelectrolytes.
• This approach facilitates more efficient solubility estimations in chemical and pharmaceutical research.