Banca de QUALIFICAÇÃO: DHIEGO SOUTO ANDRADE

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : DHIEGO SOUTO ANDRADE
DATE: 29/11/2019
TIME: 09:00
LOCAL: BioME - PPg-Bioinfo
TITLE:

An exploratory analysis of scale-free networks dynamics adopting the Boolean formalism: a study of attractors and modularity

KEY WORDS:

Modularity; Scale-free networks; Boolean formalism; Attractors; Hierarchical Clustering; Cancer; Network dynamics; Logical functions.

PAGES: 37
BIG AREA: Ciências Biológicas
AREA: Biologia Geral
SUMMARY:

Modularity is a central aspect of biological organization, widely noticed in developmental, evolutionary and molecular systems biology. Despite that, its emergence still lacks of information. May modularity arise through the action of natural selection? Or it simply emerge from randomness mechanisms? Is there a self-organized criticality governing modularity according to network size? Here we perform an exploratory analysis of Boolean scale-free networks dynamics, in order to identify modules which dynamics behavior is strongly correlated, and, in the meantime, is independent of the influence of the complementary modules from the global system. Our preliminary results show that the formation of fixed point attractors and limit cycles is independent of the network size. Also, the average point of the attractors convergence initiation in the discrete time axis follow a logarithm curve as the net grows. Furthermore, the logical functions has shown to directly influence the dynamics convergence initiation. As expected, perturbations on the hub nodes lead to drastic changes in mostly of the nodes dynamics, while perturbations on poorly connected nodes rarely affect changes on the nodes dynamics. We also show that some dynamics are differentiated by single node shift, which clues for an independence of certain nodes from the global dynamics. Furthermore, we show an attractor (limit cycle) shift depending of the convergence initiation. Our results, also identify chaotic distributions on the correlation between initial conditions and the attractors formed. The addressed analysis can be used to investigate the emergence and behavior of phenotypic modules in genetic diseases, such as cancer, supporting heterogeneity and target therapy drugs studies.

 

BANKING MEMBERS:
Presidente - 2276280 - CESAR RENNO COSTA
Interno - 3083298 - RENAN CIPRIANO MOIOLI
Interno - 1507794 - RODRIGO JULIANI SIQUEIRA DALMOLIN