Trainability, in any substrate, refers to the ability to change future behavior based on past
experiences. An understanding of such capacity within biological cells and tissues would …

Modeling cell signal transduction pathways via Boolean networks (BNs) has become an
established method for analyzing intracellular communications over the last few decades …

This paper addresses two topics in systems biology, the hypothesis that biological systems
are modular and the problem of relating structure and function of biological systems. The …

Carcinomas often utilize epithelial-mesenchymal transition (EMT) programs for cancer
progression and metastasis. Numerous studies report SNAIL-induced miR200/Zeb feedback …

Biomolecular network dynamics are thought to operate near the critical boundary between
ordered and disordered regimes, where large perturbations to a small set of elements …

Interconnected feedback loops are prevalent across biological mechanisms, including cell
fate transitions enabled by epigenetic mechanisms in carcinomas. However, the operating …

Many applications in biomedicine and synthetic bioengineering depend on the ability to
understand, map, predict, and control the complex, context-sensitive behavior of chemical …

Boolean networks are popular dynamical models of cellular processes in systems biology.
Their attractors model phenotypes that arise from the interplay of key regulatory subcircuits …

The static synaptic connectivity of neuronal circuits stands in direct contrast to the dynamics
of their function. As in changing community interactions, different neurons can participate …

The concept of control is central to understanding and applications of biological network
models. Some of their key structural features relate to control functions, through gene …