Evaluation of Dynamic Polar Molecular Surface Area
J ournal of Medicinal Chemistry, 1998, Vol. 41, No. 27 5391
(24) This is in contrast with results obtained by NMR spectroscopy
in CDCl3 which indicate a 1:1 mixture of amide rotamers in H
95/71. This prevented a more detailed analysis of the spectra
due to overlapping peaks. NMR spectra of H 244/45 were more
informative indicating preferences for conformations stabilized
by intramolecular hydrogen bonding between the amine and
alcohol functionalities. No hydrogen bond stabilization involving
the ether oxygen was identified. This is in contrast with the
results from the Monte Carlo conformational search which gave
low-energy conformations including both these hydrogen bonds
to about the same extent.
(25) The use of a folded conformation as a starting geometry in a
conformational search in simulated water resulted in stretched
conformations. The opposite was also observed: using a stretched
conformation as starting geometry in simulated chloroform
resulted in folded conformations.
Su p p or tin g In for m a tion Ava ila ble: Table of results
from the conformational analyses and surface area calculations
(1 page). Ordering information is given on any current
masthead page.
Refer en ces
(1) Artursson, P.; Karlsson, J . Correlation between oral drug
absorption in humans and apparent drug permeability coef-
ficients in human intestinal epithelial (Caco-2) cells. Biochem.
Biophys. Res. Commun. 1991, 175, 880-885.
(2) Lennerna¨s, H.; Palm, K.; Fagerholm, U.; Artursson, P. Com-
parison between active and passive drug transport in the human
intestinal epithelial Caco-2 cells in vitro and human jejunum in
vivo. Int. J . Pharm. 1996, 127, 103-107.
(3) Martin, Y. C. A practitioner’s perspective of the role of quantita-
tive structure-activity analysis in medicinal chemistry. J . Med.
Chem. 1981, 24, 229-237.
(4) Young, R. C.; Mitchell, R. C.; Brown, T. H.; Ganellin, C. R.;
Griffiths, R.; J ones, M.; Rana, K. K.; Saunders, D.; Smith, I. R.;
Sore, N. E.; Wilks, T. J . Development of a new physicochemical
model for brain penetration and its application to the design of
centrally acting H2 receptor histamine antagonists. J . Med.
Chem. 1988, 31, 656-671.
(5) Schoenwald, R. D.; Huang, H.-S. Corneal penetration behavior
of beta-blocking agents I: Physicochemical factors. J . Pharm.
Sci. 1983, 72, 1266-1271.
(6) El Tayar, N.; Tsai, R.-S.; Testa, B.; Carrupt, P.-A.; Leo, A.
Partitioning of solutes in different solvent systems: The con-
tribution of hydrogen-bonding capacity and polarity. J . Pharm.
Sci. 1991, 80, 590-598.
(7) Conradi, R. A.; Hilgers, A. R.; Ho, N. F. H.; Burton, P. S. The
influence of peptide structure on transport across Caco-2 cells.
Pharm. Res. 1991, 8, 1453-1460.
(8) Conradi, R. A.; Hilgers, A. R.; Ho, N. F. H.; Burton, P. S. The
Influence of Peptide Structure on Transport Across Caco-2 Cells.
II. Peptide Bond Modification Which Results in Improved
Permeability. Pharm. Res. 1992, 9, 435-439.
(9) Ong, S.; Qiu, X.; Pidgeon, C. Solute interactions with immobilized
artificial membranes. J . Phys. Chem. 1994, 98, 10189-10199.
(10) Pidgeon, C.; Ong, S.; Liu, H.; Qiu, X.; Pidgeon, M.; Dantzig, A.
H.; Munroe, J .; Hornback, W. J .; Kasher, J . S.; Glunz, L.;
Szczerba, T. IAM chromatography: an in vitro screen for
predicting drug membrane permeability. J . Med. Chem. 1995,
38, 590-594.
(11) Beigi, F.; Yang, Q.; Lundahl, P. Immobilized-liposome chromato-
graphic analysis of drug partitioning into lipid bilayers. J .
Chromatogr. A 1995, 704, 315-321.
(12) Amidon, G. L.; Yalkowsky, S. H.; Anik, S. T.; Valvani, S. C.
Solubility of nonelectrolytes in polar solvents. V. Estimation of
the solubility of aliphatic monofunctional compounds in water
using a molecular surface area approach. J . Phys. Chem. 1975,
79, 2239-2246.
(13) Dunn, W. J ., III; Koehler, M. G.; Grigoras, S. The role of solvent-
accessible surface area in determining partition coefficients. J .
Med. Chem. 1987, 30, 1121-1126.
(14) Barlow, D.; Satoh, T. The design of peptide analogues for
improved absorption. J . Contr. Relat. 1994, 29, 283-291.
(15) Ooi, T.; Oobatake, M.; Ne´methy, G.; Scheraga, H. A. Accessible
surface areas as a measure of the thermodynamic parameters
of hydration of peptides. Proc. Natl. Acad. Sci. U.S.A. 1987, 84,
3086-3090.
(16) van de Waterbeemd, H.; Kansy, M. Hydrogen-bonding capacity
and brain penetration. Chimia 1992, 46, 299-303.
(17) Lipkowitz, K. B.; Baker, B.; Larter, R. Dynamic molecular
surface areas. J . Am. Chem. Soc. 1989, 111, 7750-7753.
(18) Palm, K.; Luthman, K.; Ungell, A.-L.; Strandlund, G.; Artursson,
P. Correlation of drug absorption with molecular surface proper-
ties. J . Pharm. Sci. 1996, 85, 32-39.
(26) The smallest variation in PSA of all low-energy conformations,
11.5 Å2, was found for pindolol (largest PSA ) 61.8 Å2; smallest
PSA ) 50.3 Å2) and the largest variation, 47 Å2, was displayed
by H 216/44 (largest PSA ) 116.6 Å2; smallest PSA ) 69.2 Å2).
The low-energy conformations of atenolol identified in chloroform
displayed the smallest relative variation in PSA (∆PSA/PSAd )
5.4 Å2/91.6 Å2 ) 6%), whereas the largest relative variation was
found for alprenolol in water (∆PSA/PSAd ) 20.9 Å2/39.2 Å2
54%).
)
(27) The low-energy conformations were divided into groups accord-
ing to ref 18. The groups displayed different polar surface
properties (p < 0.001; ANOVA), and the variation within groups
was small.
(28) The polar surface areas reported in this paper differ slightly from
those reported in ref 18. In the earlier paper we used the Lee
and Richard-based numerical algorithm57 included in the PC-
MODEL program (v 4.0), whereas in this paper (as well as in
our more recent publication, ref 19) we used an in-house
computer program based on an analytical algorithm. In general
the polar surface areas calculated with the analytical algorithm
were larger (2-4 Å2) than the numerically calculated areas. This
is in agreement with the grid-based numerical algorithm in
PCMODEL and the observation that the computed surface areas
get larger when a smaller grid size is used in PCMODEL.
However, for atenolol and practolol the polar surface areas
calculated according to the analytical algorithm were smaller
(4-5 Å2) than the polar areas calculated by PCMODEL. After
closer inspection this could be attributed to the fact that the
carbon atoms in the carbonyl groups (accounting for approxi-
mately 7 Å2 of the total area) were included in the polar surface
area obtained from PCMODEL.
(29) van de Waterbeemd, H.; Camenisch, G.; Folkers, G.; Raevsky,
O. A. Estimation of Caco-2 cell permeability using calculated
molecular descriptors. Quant. Struct.-Act. Relat. 1996, 15, 480-
490.
(30) Wils, P.; Warnery, A.; Phung-Ba, V.; Legrain, S.; Scherman, D.
High lipophilicity decreases drug transport across intestinal
epithelial cells. J . Pharmacol. Exp. Ther. 1994, 269, 654-658.
(31) Karlsson, J .; Artursson, P. A method for the determination of
cellular permeability coefficients and aqueous boundary layer
thickness in monolayers of intestinal epithelial (Caco-2) cells
grown in permeable filter chambers. Int. J . Pharm. 1991, 71,
55-64.
(32) Depending on whether the epithelial transport is transcellular
and/or paracellular, the larger molecular size decreases cell
monolayer permeability by either diffusional restriction and/or
the sieving effect of the paracellular pathway. The Caco-2 cell
monolayer is a relatively tight epithelium with a low paracellular
permeability.2,56 In addition, the active secretion of H 216/44 in
the absence of verapamil suggests efflux of H 216/44 across the
apical cell membrane of the epithelial cells52 (see Experimental
Section). Thus, one can assume that H 216/44 is to a significant
extent transported transcellularly and that the size effect would
result from a higher diffusional restriction.
(19) Palm, K.; Stenberg, P.; Luthman, K.; Artursson, P. Polar
molecular surface properties predict the intestinal absorption
of drugs in humans. Pharm. Res. 1997, 14, 568-571.
(20) The multivariate partial least-squares projections to latent
structures (PLS) method was used in: Norinder, U.; O¨ sterberg,
T.; Artursson, P. Theoretical calculation and prediction of Caco-2
cell permeability using MolSurf parametrization and PLS
statistics. Pharm. Res. 1997, 14, 1785-1790.
(21) Basak, S. C.; Gute, B. D.; Drewes, L. R. Predicting blood-brain
transport of drugs: A computational approach. Pharm. Res.
1996, 13, 775-778.
(22) Lipinski, C. A.; Lombardo, F.; Dominy, B. W.; Feeney, P. J .
Experimental and computational approaches to estimate solubil-
ity and permeability in drug discovery and development settings.
Adv. Drug Deliv. Rev. 1996, 23, 3-25.
(33) Stein, W. D. The molecular basis of diffusion across cell
membranes. The movement of molecules across cell membranes;
Academic Press: New York, 1967.
(34) The value of n is dependent on the environment. Stokes-
Einstein stated a value of 1/3 for spherical molecules. Later
experimental values of 0.6-0.7 have been described. For poly-
mers and in lipid bilayers a steeper size dependence has been
observed, and values of 1-3 have been assigned to n.36
(35) Rubas, W.; Cromwell, M.; Gadek, T.; Narindray, D.; Mrsny, R.
Structural elements which govern the resistance of intestinal
tissues to compound transport. Mater. Res. Soc. Symp. Proc.
1994, 331, 179-185.
(36) Xiang, T.-X.; Anderson, B. D. The relationship between permeant
size and permeability in lipid bilayer membranes. J . Membr.
Biol. 1994, 140, 111-122.
(23) Artursson, P. Epithelial transport of drugs in cell culture. I: A
model for studying the passive diffusion of drugs over intestinal
absorptive (Caco-2) cells. J . Pharm. Sci. 1990, 79, 476-482.