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Ordering in a fibrinogen layer

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.