Recent interest in modeling biochemical networks raises questions about the relationship
between often complex mathematical models and familiar arithmetic concepts from classical …

Multisite phosphorylation is an important mechanism for fine‐tuned regulation of protein
function. Mathematical models developed over recent years have contributed to elucidation …

Examining enzyme kinetics is critical for understanding cellular systems and for using
enzymes in industry. The Michaelis-Menten equation has been widely used for over a …

Modularity plays a fundamental role in the prediction of the behavior of a system from the
behavior of its components, guaranteeing that the properties of individual components do …

A comparison study of the efficiency and accuracy of a variety of meshless trial and test
functions is presented in this paper, based on the general concept of the meshless local …

The Michaelis–Menten equation is generally used to estimate the kinetic parameters, V and
KM, when the steady‐state assumption is valid. Following a brief overview of the derivation …

Modelers of molecular signaling networks must cope with the combinatorial explosion of
protein states generated by posttranslational modifications and complex formation. Rule …

Both computational and biological systems have to make decisions about switching from
one state to another. The 'Approximate Majority'computational algorithm provides the …

For over a century, the Michaelis–Menten (MM) rate law has been used to describe the rates
of enzyme-catalyzed reactions and gene expression. Despite the ubiquity of the MM rate …

Taking ideas from nature has been a theme of humanity's technological progress but it is
only our newfound expertise in molecular manipulation and complex nonlinear dynamics …