molecular dynamics simulation, ion aggregation, graph theory, vibrational, ; spectroscopy, water hydrogen-bonding network, salt solubility, Hofmeister, ; effect, osmolyte effect, sugar aggregation, percolation
Publication Date
2018-04
Journal
ANNUAL REVIEW OF PHYSICAL CHEMISTRY, v.69, pp.125 - 149
Publisher
ANNUAL REVIEWS
Abstract
In molecular and cellular biology, dissolved ions and molecules have decisive
effects on chemical and biological reactions, conformational stabilities,
and functions of small to large biomolecules. Despite major efforts, the current
state of understanding of the effects of specific ions, osmolytes, and
bioprotecting sugars on the structure and dynamics of water H-bonding
networks and proteins is not yet satisfactory. Recently, to gain deeper insight
into this subject, we studied various aggregation processes of ions and
molecules in high-concentration salt, osmolyte, and sugar solutions with
time-resolved vibrational spectroscopy and molecular dynamics simulation
methods. It turns out that ions (or solute molecules) have a strong propensity
to self-assemble into large and polydisperse aggregates that affect both local
and long-range water H-bonding structures. In particular, we have shown
that graph-theoretical approaches can be used to elucidate morphological
characteristics of large aggregates in various aqueous salt, osmolyte, and
sugar solutions. When ion and molecular aggregates in such aqueous solutions
are treated as graphs, a variety of graph-theoretical properties, such as
graph spectrum, degree distribution, clustering coefficient, minimum path length, and graph entropy, can be directly calculated by considering an ensemble of configurations
taken from molecular dynamics trajectories. Here we show percolating behavior exhibited by ion
and molecular aggregates upon increase in solute concentration in high solute concentrations and
discuss compelling evidence of the isomorphic relation between percolation transitions of ion
and molecular aggregates and water H-bonding networks. We anticipate that the combination of
graph theory and molecular dynamics simulation methods will be of exceptional use in achieving
a deeper understanding of the fundamental physical chemistry of dissolution and in describing
the interplay between the self-aggregation of solute molecules and the structure and dynamics of
water.