  Ordered protein layers are the subject of active biomedical research for
their usually interesting physicochemical properties, e.g. permeability,
stiffness and pours structure. In presented work, we focused on layers build of
fibrinogen molecules characterised by strong shape anisotropy. Using Random
Sequential Adsorption (RSA) method, we simulated adsorption process in which
the orientation of adsorbate was described by a non-uniform probability
distribution. Thus obtained covering layers had different level of global
orientational ordering. This allowed us to find dependence between main
properties of layers, such as maximal random coverage ratio, and order
parameter. For better description and deeper understanding of obtained
structures, the autocorrelation function as well as distribution of uncovered
space were determined. Additionally, we calculated the Available Surface
Function (ASF), which is essential for determining adsorption kinetics.
