Modeling and simulation of biological processes on top of the multiscale interdependent system of C. Elegans

In the realm of the emerging field of Network Medicine, there has been a growing emphasis on employing Complex Networks to conceptualize and analyze biological systems. A key focus of this endeavor is the modeling of brain activity, with the potential to deepen our comprehension of neurological disorders and explore therapeutic strategies. Despite considerable efforts in this direction, there remains a substantial gap in achieving a comprehensive, multi-scale representation of the diverse biological processes intrinsic to the brain, encompassing genetic interactions, protein-protein interactions (PPI), and metabolic pathways. This work endeavors to establish a baseline model utilizing the framework of multi-layer networks, starting from the neural activity of Caenorhabditis elegans, a microscopic nematode, providing a platform for conducting robust analyses in the face of structural and functional perturbations. The research is supported by a software tool developed for the purpose of visualizing data organized across various scales within interconnected datasets.