The very high axial charge density of nucleic acids is a physical char
acteristic that substantially influences the thermodynamics of virtual
ly all processes in which they are involved. This arises from long ran
ge electrostatic interacts between nucleic acids and the counter- and
co- ions in solution so that salt concentration dramatically effects t
he activities of both reactants and products. A significant contributo
r to the resulting salt dependence for processes involving nucleic aci
ds (e.g. ligand binding to a choice of nucleic acid substrates or a st
ructural change), is the difference in arrangement of the sugar-phosph
ate backbone of competing structures. This article reviews the results
of a set of Grand Canonical Monte Carlo (GCMC) simulations that explo
res the effect of nucleic acid geometry, varied as a function of oligo
mer length and four-way junction branch length, on counterion associat
ion and therefore many nucleic acid processes. These GCMC simulations,
which utilize a ''primitive'' model description of the nucleic acid,
are complemented by a number of simulations which numerically solve th
e non-linear Poisson-Boltzmann equation utilizing detailed models for
nucleic acids and proteins. Simulations of this kind are particularly
useful for the study of systems that have been well characterized stru
cturally, as well as thermodynamically. What is saught in the current
article is insight into how an extremely general feature of DNA, namel
y the geometric arrangement of its phosphate charges surrounded by an
exclusion surface, might play a role in determining nucleic acid proce
sses.