Molecular simulations have an important role in investigating the
structural and dynamical properties of soft matter. Part of this thesis is devoted to
the study of self-assembly of surfactants, which occurs over time- and length-scales
much larger than those achievable in atomistic simulations. For this purpose, we
have employed the dissipative particle dynamics simulation method. However, in
charged surfactants, the charged dissipative particle dynamics beads form stable ion
pairs over the whole simulation time. In this respect, most of the existing dissipative
particle dynamics simulation studies of micelle formation in surfactants are devoted
to uncharged surfactants. The most important achievement, over the existing
literature, in this part is the development of a method for calculating electrostatic
interactions in the dissipative particle dynamics simulations. This enables us to
study micelle formation in charged surfactants, using the dissipative particle
dynamics simulation method. In another part of this thesis, we have studied water
uptake of gecko keratin, which is an important protein, using atomistic simulations.
Understanding the relationship between the relative humidity and the water content
is important for understanding the mechanism of wet adhesion of gecko keratin. It
is worth mentioning that there exists no experimental/theoretical data on the water
content of gecko keratin in the literature.