Pharmacokinetics and Metabolism in Drug Design
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About This Book

In this new edition of a bestseller, all the contents have been brought upto-date by addressing current standards and best practices in the assessment and prediction of ADMET properties. Although the previous chapter layout has been retained, substantial revisions have been made, with new topics such as pro-drugs, active metabolites and transporters covered in detail in a manner useful to the Drug Discovery scientist. The authors discuss the parameters and processes important for the absorption, distribution and retention of drug compounds in the body, plus the potential problems created by their transformation into toxic byproducts. While aimed at all those dealing professionally with the development and application of pharmaceutical substances, the readily comprehensible style makes this book equally suitable for students of pharmacy and related subjects. Uniquely comprehensive, the book relates physicochemistry and chemical structure to pharmacokinetic properties and ultimately drug efficacy and safety.

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Yes, you can access Pharmacokinetics and Metabolism in Drug Design by Dennis A. Smith, Charlotte Allerton, Amit S. Kalgutkar, Han van de Waterbeemd, Don K. Walker, Raimund Mannhold, Hugo Kubinyi, Gerd Folkers, Dennis A. Smith, Charlotte Allerton, Amit S. Kalgutkar, Han van de Waterbeemd, Don K. Walker in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmacology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-VCH
Year
2012
ISBN
9783527645299
Edition
3
Subtopic
Pharmacology
Chapter 1
Physicochemistry
Abbreviations
CPC Centrifugal partition chromatography
CoMFA Comparative field analysis
CsA Cyclosporine A
3D-QSAR Three-dimensional quantitative structure–activity relationships
HDM Hexadecane membrane
IUPAC International Union of Pure and Applied Chemistry
MLP Molecular lipophilicity potential
PAMPA Parallel artificial membrane permeability assay
PGDP Propylene glycol dipelargonate
PSA Polar surface area
RP-HPLC Reversed-phase high-performance liquid chromatography
SF Shake flask, referring to traditional method of measuring log P or log D
TPSA Topological polar surface are
Symbols
APSUV Absorption potential measured in small unilamellar vesicles (SUV)
Δlog D Difference between log D in octanol/water and log D in alkane/water
Δlog P Difference between log P in octanol/water and log P in alkane/water
f Rekker or Leo/Hansch fragmental constant for log P contribution
Ka Ionization constant
Λ Polarity term, mainly related to hydrogen bonding capability of a solute
log P Logarithm of the partition coefficient (P) of neutral species
log D Logarithm of the distribution coefficient (D) at a selected pH, usually assumed to be measured in octanol/water
log Doct Logarithm of the distribution coefficient (D) at a selected pH, measured in octanol/water
log Dchex Logarithm of the distribution coefficient (D) at a selected pH, measured in cyclohexane/water
log D7.4 Logarithm of the distribution coefficient (D) at pH 7.4
MW Molecular weight
π Hansch constant; contribution of a substituent to log P
pKa Negative logarithm of the ionization constant Ka
1.1 Physicochemistry and Pharmacokinetics
The body can be viewed as primarily composed of a series of membrane barriers dividing aqueous filled compartments. These membrane barriers are principally comprised of the phospholipid bilayers that surround cells and form intracellular barriers around the organelles present in cells (mitochondria, nucleus, etc.). These are formed with the polar ionized head groups of the phospholipid facing toward the aqueous phases and the lipid chains providing a highly hydrophobic inner core. To cross the hydrophobic inner core, a molecule must also be hydrophobic and able to shed its hydration sphere. Many of the processes of drug disposition depend on the ability or inability to cross membranes and hence there is a high correlation with measures of lipophilicity. Moreover, many of the proteins involved in drug disposition have hydrophobic binding sites further adding to the importance of the measures of lipophilicity [1].
At this point, it is appropriate to define the terms hydrophobicity and lipophilicity. According to published IUPAC recommendations, both terms are best described as follows [2]:
Hydrophobicity is the association of nonpolar groups or molecules in an aqueous environment that arises from the tendency of water to exclude nonpolar molecules.
Lipophilicity represents the affinity of a molecule or a moiety for a lipophilic environment. It is commonly measured by its distribution behavior in a biphasic system, either liquid–liquid (e.g., partition coefficient in 1-octanol/water) or solid–liquid (retention on reversed-phase high-performance liquid chromatography or thin-layer chromatography (TLC) system).
Key physicochemical properties that are associated with hydrophobicity and lipophilicity include solubility, hydrogen bonding capacity, and the ionization state [3]. All these properties have a strong influence on membrane permeability that affects absorption [4], distribution, and balance of elimination by transporter-mediated processes and metabolism [5].
1.2 Partition and Distribution Coefficients as Measures of Lipophilicity
The inner hydrophobic core of a membrane can be modeled by using an organic solvent. Similarly, a water or aqueous buffer mimics the aqueous media surrounding cells or present within cells. If the organic solvent is not miscible with water, then a two-phase system can be used to study the relative preference of a compound for the aqueous (hydrophilic) or organic (hydrophobic and lipophilic) phase.
For an organic compound, lipophilicity can be described in terms of its partition coefficient P (or log P as it is generally expressed). This is defined as the ratio of concentrations of the compound at equilibrium between the organic and the aqueous phases:
(1.1)
equation
The partition coefficient (log P) describes the intrinsic lipophilicity of the collection of functional groups and carbon skeleton, which combine, to make up the structure of the compound, in the absence of dissociation or ionization. Methods to measure partition and distribution coefficients have been described [6, 7].
Every component of an organic compound has a defined lipophilicity, and calculation of partition coefficient can be performed from a designated structure. Likewise, the effect on log P of the introduction of a substituent group into a compound can be predicted by a number of methods as pioneered by Hansch [8–11] (π-values), Rekker [12, 13] (f-values), and Leo and Hansch [8–10, 14, 15] (f ′-values). These values break molecules down into fragments allowing the total lipophilicity to be calculated.
Partitioning of a compound between aqueous and lipid (organic) phases is an equilibrium process. When in addition the compound is partly ionized in the aqueous phase, a further (ionization) equilibrium is set up since it is assumed that under normal conditions only the unionized form of the drug penetrates the organic phase [16]. This traditional view is shown schematically in Figure 1.1.
Figure 1.1 Schematic depicting the relationship between log P and log D and pKa.
img
This model is consistent with many observations, but partitioning of some compounds into octanol has been shown to occur as an ion pair [17]. Such ion pairs include chloride with basic compounds and sodium with acidic compounds. Whether such behavior can occur with a biological membrane is still not clear, some evidence exists for this with the strongly acidic drug proxicromil. The lipophilicity of the drug above pH 6 in octanol–buffer partition experiments depends on ion p...

Table of contents

  1. Cover
  2. Methods and Principles in Medicinal Chemistry
  3. Title Page
  4. Copyright
  5. A Personal Foreword
  6. Chapter 1: Physicochemistry
  7. Chapter 2: Pharmacokinetics
  8. Chapter 3: Absorption
  9. Chapter 4: Distribution
  10. Chapter 5: Clearance
  11. Chapter 6: Renal Clearance
  12. Chapter 7: Metabolic (Hepatic) Clearance
  13. Chapter 8: Toxicity
  14. Chapter 9: Predicting Human Pharmacokinetics
  15. Chapter 10: ADME Screening
  16. Index