Notes on Log P and Log D in Pharmacology

PKA (874) and PHRM 6201: Physical Pharmacy - Week 10 Notes

Overview of Topics

  • Understand partitioning phenomena.

  • Differentiate between log P and log D.

  • Learn to calculate log D.

  • Understand the effect of lipophilicity on drug absorption.

Partitioning Phenomena

  • Iodine extraction from aqueous to organic phase.

    • Determined by log P = 1.36.

Distribution in Immiscible Liquid Phases

  • Organic compounds distribute between two immiscible liquid phases:

    • Examples: Organic solvent vs. water, Oil vs. water.

  • Distribution reaches equilibrium:

    • A solute is soluble in both phases and distributes (partitions) according to the chemical potential in each phase:
      C1 imes P = C2

Octanol-Water System

  • Partitioning between 1-Octanol and water:

    • 1-Octanol serves as the organic phase mimicking lipid membranes.

    • Note: 1-Octanol has both polar and non-polar regions. Lipophilic properties mimic cell membranes.

Octanol-Water Partitioning Coefficient (log P)

  • Defined as the ratio of solute concentrations in 1-Octanol and water phases at equilibrium:

    • Log P = Log rac{C{octanol}}{C{water}}

    • Indicator of an organic compound's lipophilicity:

    • Higher log P = More lipophilic.

    • Lower log P = More hydrophilic.

  • Relation to pharmacological and biopharmaceutic properties:

    • Lipophilicity is dependent on drug structures.

Log D vs. Log P

  • Log D accounts for both ionized and non-ionized forms in the system;

    • Lipophilicity and biological effectiveness of quinine derivatives are correlated with Log D. Optimal activity is noted at intermediate log D.

  • Observations:

    • Too hydrophilic results in poor membrane permeability and less access to parasite sites.

    • Too lipophilic can lead to poor aqueous solubility and potential nonspecific binding.

    • Physiological pH significantly affects lipophilicity.

Experimentation Examples

  • Regression analysis on relationship between log D and efficacy:

    • Equation: y = -0.6007x + 2.0021, with R^2 = 0.7755, P < 0.01.

    • Data range indicates concentrations of benzoic acid in both aqueous and organic phases.

Emulsion and Drug Partitioning

  • Emulsion preparation:

    • Mixing oil and water (buffer solution) with high shear stirring stabilized by surfactants.

    • Lipophilic drugs partition into oil droplets increasing overall solubility.

Partitioning Coefficient Considerations

  • Molecules in the organic phase must be in monomeric form; dimers or trimers are not viable for partitioning.

  • Concentration relationships in octanol phase and aqueous phase:

    • For weak electrolytes, only non-ionized forms can partition into the aqueous phase.

Molecular Association and Dimer Formation

  • Certain polar compounds self-associate reducing polarity.

    • Concentrations in the octanol phase must reflect those of monomers to maintain log P.

Example on Benzoic Acid Distribution

  • Distribution of benzoic acid in benzene and buffer at 25°C, considerations of dimer formation in the organic phase.

    • Summary of concentration data illustrating the relationship between concentrations in both phases.

Calculation and Extraction of Benzoic Acid

  • Example of extraction using 11 grams of benzoic acid (pKa = 4.2) in 0.1 N HCl:

    • Equilibrium calculations in the presence of an organic solvent with presumed log P.

Lipophilicity of Weak Acids and Bases

  • The necessity for non-ionized forms to partition into octanol phase is emphasized in acidic and basic drugs.

    • The presence of both ionized and non-ionized forms alters the degree of partitioning.

pH Influences on Log D

  • Distribution coefficient (D) expressed as log D:

    • Log D incorporates effective lipophilicity at given pH and the degree of ionization.

  • Relationships:

    • D = rac{[HA]{octanol}}{[HA]{water}} + rac{[A^-]{water}}{[B]{octanol} + [BH^+]_{water}}

    • Log D influences the efficacy of acidic and basic drugs at varying pHs, providing a practical understanding of drug behavior in physiological contexts.

Lipophilicity and pH Relationship

  • Fundamental relationships outlined for calculating changes in log D:

    • For acidic drugs:

    • log D = log P - log(1 + 10^{(pH - pKa)})

    • For basic drugs:

    • log D = log P - log(1 + 10^{(pKa - pH)})

  • Effect of pH on ionization, demonstrating its impact.

Example Drug Calculations

  • Calculation of Log D for given drugs at specific pH values (Diclofenac and Desipramine) using provided Data.

Human Milk to Plasma Concentration Ratio Example

  • Analysis of drugs based on partitioning coefficients and pKa values to predict the highest human milk to plasma concentration ratio.

Assignments and Reading Material

  • Suggested Chapters for further reading:

    • Chapter 5, pages 106-109.