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The theoretical basis of stereoselectivity in drug targeting in terms of eudismic ratio and quantitative structure-activity relationship has been presented. Specific examples of the advantages of using the correct stereoisomers (eutomers) rather than the distomers or racemic mixtures have been discussed. With the recent development of new methods of chiral synthesis and chiral analysis, it is not longer justifiable to continue to use racemic mixtures as therapeutic agents, unless it can be proven to be safe to do so. In the area of using peptides, proteins, glycoproteins and polysaccharides as therapeutic agents, mother nature has been very selective in choosing the optically active starting materials (Bradley, 1994), it is a necessity to design and test the proper optical isomer when a mimetic or antagonist compound is contemplated as a therapeutic agent.

The hydrophobicity of any peptide is a physicochemical property not only of the amino acid sequence, but also of the secondary and tertiary structure. It is also an essential factor to consider in peptide drug delivery, which has become increasingly important in recent years with the discovery of many peptides with potential pharmaceutical uses. The hydrophobicities (log P) of dito pentapeptides reported by Akamatsu and Fujita have been correlated with 12 parameters including 7 indicator variables. We have tried to simply this equation by using more common and simple parameters. Good correlations have been obtained for log P with a five-parameter equation using the sum of the hydrophobicity of component amino acids (log Paa), molecular weight (log MW), the frequency of beta-turn formation (F beta) of peptides, which is an important tertiary structural parameter, the dipole moment (mu) calculated with a computer-assisted program, and the number of amino acids in a peptide (N). This equation should be useful in drug delivery in predicting the relative hydrophobicity of new peptides with no ionizable side chains.

In this paper, the authors attempt to construct a mathematical model to correlate the biological activities of 63 polyamine transport inhibitors in L1210 cells with their physicochemical parameters.The inhibitory constants (Ki) were obtained from the published work of Bergeron et al. Non-weighted least square method was used in deriving the regression equations with a BMDP program. An AM1 subroutine of the HyperChem program was used to optimize the geometry and calculate the molecular dipole moments and the distance between two terminal amino groups. A CQSAR program was used to calculate Clog P (oct./w.).A good correlation (r2 = 0.81) was obtained by using a five-parameter equation including the distance between two terminal amino groups (d), the number of cationic charge (Charge), molecular weight (MW), dipole moment (mu), and hydrogen bond forming ability (Hb).This model accounts for 81% of the variance in the data and can be used to estimate transport-inhibitory activity of many other polyamine analogues. It gives some quantitative information about the relationship between the polyamine analogues' function as transport inhibitors and their molecular structures.

A general mathematical model involving partition coefficient, molecular weight and hydrogen bonding is used to correlate the structures and permeability of various organic compounds through the toad urinary bladder and human red blood cell (RBC) membranes. Log Per (permeability) is correlated with log Po/w (partition coefficient in olive oil/water, or ether/water), log MW (molecular weight) and Hb (hydrogen bonds). Log Po/w is the most important factor among three parameters examined. While increased MW always has a negative effect on the permeability, increased Hb can have either a slightly positive or a slightly negative effect depending on the solvent and membrane systems used. Systematic comparison of the QSAR's (quantitative structure activity relationship) of different biological membranes may serve as a useful guide in drug targeting to different tissues and cell types.