Despite the wealth of knowledge gained about intrinsically disordered proteins (IDPs) since
their discovery, there are several aspects that remain unexplored and, hence, poorly …

Cancer occurs when cells acquire genomic instability and inflammation, produce abnormal
levels of epigenetic factors/proteins and tumor suppressors, reprogram the energy …

Many multicellular systems problems can only be understood by studying how cells move,
grow, divide, interact, and die. Tissue-scale dynamics emerge from systems of many …

The natural microenvironment of tumors is composed of extracellular matrix (ECM), blood
vasculature, and supporting stromal cells. The physical characteristics of ECM as well as the …

In this paper we present an overview of agent-based models that are used to simulate
mechanical and physiological phenomena in cells and tissues, and we discuss underlying …

Adult gliomas are aggressive brain tumours associated with low patient survival rates and
limited life expectancy. The most important hallmark of this type of tumour is its invasive …

Computational oncology is a generic term that encompasses any form of computer-based
modelling relating to tumour biology and cancer therapy. Mathematical modelling can be …

Cancer continues to be among the leading healthcare problems worldwide, and efforts
continue not just to find better drugs, but also better drug delivery methods. The need for …

The anti-tumor activity of the immune system is increasingly recognized as critical for the
mounting of a prolonged and effective response to cancer growth and invasion, and for …

There have been many techniques developed in recent years to in silico model a variety of
cancer behaviors. Agent-based modeling is a specific discrete-based hybrid modeling …