A new method for calculating geometry-dependent atomic charges (GDACs) for
polypeptides is presented. It overcomes the limitations of the partial equa
lization of orbital electronegativity (PEOE) and modified PEOE (MPEOE) meth
ods, which depend only on connectivity, not geometry. Introduction of dista
nce-dependent damping factors helps to include the effect of environment in
determining the variation of bond distance (without explicit contribution
of the correlated variation of bond angles), and thereby to reduce the numb
er of parameters required to represent different atomic species. Since the
correlation between the geometry and the dipole moments of molecules is cru
cial for this method, ab initio molecular orbital calculations were carried
out to obtain the geometries and dipole moments with the 6-31G** basis set
at the level of B3LYP theory. When bond distances are fixed prior to a cha
rge calculation, the methodology outlined here leads to a direct calculatio
n of the permanent molecular charge distribution represented as a set of di
stributed monopoles that depend on the geometry of the molecule. Hence, thi
s method automatically accounts for the transferability of charges of small
amino acid residues to build up a large polypeptide molecule, and can ther
efore provide an approximate description of any redistribution of charge de
nsity of large polypeptide molecules. The parameters characterizing the cha
rge transfer in the formation of bonds were optimized by using dipole momen
t components and total dipole moments of 50 molecules that serve as models
for the backbone and side chains of proteins. The calculated total dipole m
oments of these 50 molecules agree well with the ab initio results within a
n error of 5%. The new charge scheme has been applied to seven conformers o
f N ' -acetylalanine-N ' -methylamide (Ac-Ala-NHMe) with good agreement bet
ween ab initio and GDAC dipole moments. This method, however, gives poor re
sults for conjugated systems that are larger than amides.