In this work, we:(i) review likelihood-based inference for parameter estimation and the
construction of confidence regions; and (ii) explore the use of techniques from information …

Elimination of unknowns in a system of differential equations is often required when
analyzing (possibly nonlinear) dynamical systems models, where only a subset of variables …

A full understanding of cell signaling processes requires knowledge of protein structure–
function relationships, protein–protein interactions, and the abilities of pathways to control …

Mathematical models of biochemical reaction networks are an important and emerging tool
for the study of cell signaling networks involved in disease processes. One promising …

Germline mutations upregulating RAS signaling are associated with multiple developmental
disorders. A hallmark of these conditions is that the same mutation may present vastly …

We present a data-driven approach to characterizing nonidentifiability of a model's
parameters and illustrate it through dynamic as well as steady kinetic models. By employing …

Mutations in signal transduction pathways lead to various diseases including cancers. MEK1
kinase, encoded by the human MAP2 K1 gene, is one of the central components of the …

The extracellular signal–regulated kinase (ERK) controls multiple critical processes in the
cell and is deregulated in human cancers, congenital abnormalities, immune diseases, and …

Terminal regions of Drosophila embryos are patterned by signaling through ERK, which is
genetically deregulated in multiple human diseases. Quantitative studies of terminal …

The mitogen-activated protein kinase (MAPK) pathway is an important intracellular signaling
cascade that plays a key role in various cellular processes. Understanding the regulatory …