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This background material explains the theory behind the logP and logD calculation:

 

Introduction
 

The mass flux of a molecule at the interface of two immiscible solvents is governed by its lipophilicity. The more lipophilic a molecule is, the more soluble it is in lipophilic organic phase. For the same reason drug penetration into a biological membrane is also influenced by the lipophilicity of the drug. When a molecule is ionizable at a given pH, it forms a hydrophilic anion or cation and subsequently fails to dissolve in organic phase. Ionization of a molecule leads to the accumulation of the hydrophilic form in the aqueous phase. In contrast, its lipophilic form decreases in both aqueous and organic phase due to the law of conservation of mass.

The partition coefficient of a molecule observed in a water–n-octanol system has been adopted as the standard measure of lipophilicity. The observed partition coefficient depends on the support electrolyte concentration of the bulk phase the compound is dissolved in. Extra ion-pair forming chemical agents added to the aqueous/organic phase may have a significant effect on the partitioning behaviour of a molecule.

It is often meaningful to obtain the partition coefficients of molecules by calculation. The molecular structure and extent of ionization are the primary factors in calculating the partition coefficient. The standard partition coefficient of ionized and unionized species calculated from the molecular structure is based largely on the atomic logP increments given in Viswanadhan et al. The extent of ionization at a given pH is obtained from the predicted pKa of the molecule. Our calculation method takes into account the effect of the counterion concentration on logD and logP. 

Symbols used

Throughout the document we use the following symbols:

  • Pi (upper case) is the macro partition coefficient, where subscript i refers to the ionization state of species included in Pi, e.g. i= -2, -1, 0, +1, +2
  • pi (lower case) is the micro partition coefficient, where subscript i refers to the microspecies, e.g. i=1,2,3,4,…
  • D is the distribution coefficient
  • [ ]  means concentration of microspecies
  • logP  is the logarithm of the partition coefficient
  • logD is the logarithm of the distribution coefficient

 

Definition of logand logD
 

The partition coefficient is the ratio of the concentration of the compound in octanol to its concentration in water. The distribution coefficient is the ratio of the sum of the concentrations of all species of the compound in octanol to the sum of the concentrations of all species of the compound in water. Based on acidic/basic dissociation reactions, we can introduce the concept of a partition coefficient for cationic and anionic species and for neutral species.

The following figure gives the definition of partition and distribution coefficients for ionized and unionized species. 

 
 
Fig. 1 Partition and distribution coefficients for ionized and unionized species


The partition and distribution coefficients for multiprotic compounds are defined in much the same way as for monoprotic compounds using the following formulae.

 
 

Fig. 2 Partition and distribution coefficients for multiprotic compounds


Example

 

In this example we suppose that a compound A1A2B1B2 contains two acidic and two basic ionization sites. This compound has 16 protonation states in aqueous solution. The microspecies which are assigned to the protonation states are summarized in the following table.

Microspeciescharge
A1A2B1B20
A1-A2B1B2-1
A1A2-B1B2-1
A1A2B1+B2+1
A1A2B1B2++1
A1-A2-B1B2-2
A1-A2B1+B20
A1-A2B1B2+0
A1A2-B1+B20
A1A2-B1B2+0
A1A2B1+B2++2
A1-A2-B1+B2-1
A1-A2-B1B2+-1
A1-A2B1+B2++1
A1A2-B1+B2++1
A1-A2-B1+B2+0

Fig. 3 All microspecies with their charge values generated from the initial compound
 

Partition and distribution coefficients

 

Partition and distribution coefficients then can be expressed as follows:

  • Partition coefficient of the neutral species is

     
  • Partition coefficients of the anionic and the cationic species are

     
    and 

  • Distribution coefficient of the original molecule is

The micro partition coefficient is the ratio of the concentration of two microspecies defined with pi as expressed with the next relation: 

Relation between macro and micro partition coefficients

 

Macro partition coefficients P0…Pi can also be expressed as a function of micro partition coefficients p0…piFrom the definition of micro partition coefficients we obtain the following formula for the concentration of microspecies in octanol: 

[microspecies]i,octanol = pi ⋅[microspecies]i,water 

 
where pi is the micro partition coefficient of microspecies i

For example, P-1 includes four micro partition coefficients (p1, p2, p3, p4). They are given by the following formulae:

After substituting the pis into the original formula for P-1 we get the following simpler formula which includes only aqueous concentration of the appropriate microspecies:

This can be further simplified if we introduce the acid dissociation constants of the A1A2B1B2 molecule. The next five ionization reactions of the A1A2B1B2 molecule are used to rearrange P-1 into a concentration free form:

So we can further simplify the formula for P-1 to the following. This expression reveals that P-1 does not depend on the pH of the solution: 
 

Similarly, one could show that P0P+1, P-2 and P+2 are also pH-independent.

In contrast to this, the distribution coefficient D does depend on the solution pH (see Klopman et al.):

 


LogP calculation methods

 


Log
P calculations are based on a pool of fragments predefined in the logP calculator. This set is based on the data set in Viswanadhan et al. Every fragment is assigned a unique name and a value. The logP value of a molecule is the sum of the fragment values that are present in the molecule. 

 

logP plugin handled only one fragment set until version 5.1.2, but then it was extended with two additional sets. The sets are based on a published data set (see Klopman et al.) and the PhysProp© database. These methods however are not available separately in the newer versions of the logP calculator.


The 
trainable logP calculation (available from version 5.1.3) offers the user to define his own logP database and calculate logP values based on experimental data. New fragment value extensions make a more precise calculation possible. 

To have more information on the currently available logcalculation methods see this page.


Examples for logand logcalculations

 

The following examples show logP/logD results for special molecules types. The calculations were performed with the default settings of the logplugin.


Example #1
 

The compound below is zwitterionic that has the form of a A1A2B1B2 molecule mentioned in the theoretical section above. Lipophilicity of this compound reaches its maximum near to the isoelectric point. (pI is 4.43 in this case, while the global maximum of the logfunction is 5.25. The calculated logvalue at the pI point is 5.24.)


Fig. 3 Zwitterionic molecule and its lipophilicity plot 


Example #2

 

Homidium is a quaternary ammonium ion with strong hydrophilic character. Its logP is calculated with the use of the ionic fragment of the N+ ion. The calculated and measured logP values are -0.91 and -1.10, respectively



 

Fig. 4 Homidium molecule


Example #3

 

Ibuprofen has the typical logD vs. pH profile that is characteristic of acidic compounds. Lipophilic behavior of ibuprofen will be dominant when its carboxylic group is unionized (at low pH). At higher pH values the carboxylic group reaches the fully ionized state and hydrofilicity becomes more enhanced. 

 
 

Fig. 6 Ibuprofen and its logD-pH plot


Example #4

 

The measured distribution coefficients also depends on the measurement method. The shake flask and the pH-metric methods are the most popular in practice. The figure below shows the calculated and measured logD of lignocaine as function of pH. 

 
 

Fig. 7 Lignocaine and its logD-pH plot

 


References

  1. Viswanadhan, V. N.; Ghose, A. K.; Revankar, G. R. and Robins, R. K., J.Chem.Inf.Comput.Sci.198929, 3, 163-172; doi
  2. Klopman, G.; Li, Ju-Yun.; Wang, S.; Dimayuga, M.: J.Chem.Inf.Comput.Sci.199434, 752; doi
  3. PhysProp© database, webpage
  4. Csizmadia, F.; Tsantili-Kakoulidou, A.; Panderi, I. and Darvas, F., J.Pharm.Sci.199786, 7, 865-871; doi
  5. Bouchard, G.; Carrupt, P. A.; Testa, B.; Gobry, V. and Girault, H. H., Pharm.Res.200118, 5, 702-708; doi


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