Whether the nom de guerre is Mathematical Oncology, Computational or Systems Biology,
Theoretical Biology, Evolutionary Oncology, Bioinformatics, or simply Basic Science, there is …

Background and objective Mechanistic-based Model simulations (MM) are an effective
approach commonly employed, for research and learning purposes, to better investigate …

Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …

Molecular systems orchestrating the biology of the cell typically involve a complex web of
interactions among various components and span a vast range of spatial and temporal …

Cancer is a complex, dynamic disease that despite recent advances remains mostly
incurable. Intertumoral and intratumoral heterogeneities are generally considered major …

Constraint-based models (CBMs) are key tools for elucidating the behavior of genome-scale
metabolic networks, but the assumption of steady state hinders their application to …

Cancer is an inherently multiscale process, wherein genetic lesions at the sub-nuclear level
propagate to changes in intracellular biochemistry, cell-level behaviors, and ultimately to …

Deregulated metabolism is one of the hallmarks of cancer. It is well-known that tumour cells
tend to metabolize glucose via glycolysis even when oxygen is available and mitochondrial …

Context: Computational modeling involves the use of computer simulations and models to
study and understand real-world phenomena. Its application is particularly relevant in the …