Mathematical modeling of biological processes provides deep insights into complex cellular
systems. While quantitative and continuous models such as differential equations have been …

A cell's behavior is a consequence of the complex interactions between its numerous
constituents, such as DNA, RNA, proteins and small molecules. Cells use signaling …

Traditionally, much of the study of networks has focused on structural features. Indeed,
mathematical subjects such as graph theory have a rich history of investigating network …

The logical (or logic) formalism is increasingly used to model regulatory and signaling
networks. Complementing these applications, several groups contributed various methods …

Motivation: To understand the behaviour of complex biological regulatory networks, a proper
integration of molecular data into a full-fledge formal dynamical model is ultimately required …

State feedback stabilization for Boolean control networks is investigated in this technical
note. Based on the algebraic representation of logical dynamics in terms of the semi-tensor …

Boolean control networks (BCNs) are recently attracting considerable interest as
computational models for genetic and cellular networks. Addressing control-theoretic …

T cell large granular lymphocyte (T-LGL) leukemia features a clonal expansion of antigen-
primed, competent, cytotoxic T lymphocytes (CTL). To systematically understand signaling …

Large‐scale protein signalling networks are useful for exploring complex biochemical
pathways but do not reveal how pathways respond to specific stimuli. Such specificity is …

Plants both lose water and take in carbon dioxide through microscopic stomatal pores, each
of which is regulated by a surrounding pair of guard cells. During drought, the plant hormone …