[institut] Seminar Bioinformatika - podsetnik

[Jovana Kovacevic]

Poštovane koleginice i kolege,

Podsećamo vas da će naredni sastanak seminara Bioinformatika biti održan
sutra, 8. 5. u 18:15 časova na Matematičkom fakultetu u sali 718. Izlagaće
dr Marija Mitrović-Dankulov sa Instituta za fiziku a naslov predavanja je
"Kvantifikacija slučajnosti u biološkim kompleksnim mrežama". Apstrakt
možete pronaći u nastavku.

Srdačan pozdrav,
rukovodioci Seminara
Gordana Pavlović-Lažetić
Nenad Mitić
Anđela Rodić


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Quantifying randomness in real biological complex networks

Biological systems can be represented as complex networks, where network
nodes represent units of the system, while links represent interactions
between them. These networks are neither of regular or random structure,
but rather an intricate combination of order and disorder. Scientists
have developed a large set of different topological measures for
characterization and description of different structural properties of
real networks. It turns out that these statistical measures are not
independent, i.e., many properties appear as a statistical consequence
of a relatively small number of fixed topological properties in a real
network. We explore this dependence in two different biological
networks, protein-protein interaction and brain network, using the
method of dk-series. We find that many important local and global
topological properties of protein-protein interaction network are
closely reproduced by dk-random graphs whose degree distributions,
degree-degree correlations, and clustering are the same as in original
real network, while this is only in part true for human brain network.
These differences are a consequence of different spacial constraints
present during the evolution of these brain networks.
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