Two related developments are currently changing traditional approaches to computational
systems biology modelling. First, stochastic models are being used increasingly in …

The aging process is driven at the cellular level by random molecular damage that slowly
accumulates with age. Although cells possess mechanisms to repair or remove damage …

Since the first edition of Stochastic Modelling for Systems Biology, there have been many
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …

What molecular processes drive cell aging and death? Here, we model how proteostasis—
ie, the folding, chaperoning, and maintenance of protein function—collapses with age from …

Demographic ageing is a reality-within 25 years half the population of Western Europe will
be over 50, one quarter over 65, and the Less Developed Countries will contain one billion …

Age is the strongest risk factor for many diseases including neurodegenerative disorders,
coronary heart disease, type 2 diabetes and cancer. Due to increasing life expectancy and …

Although stochastic population models have proved to be a powerful tool in the study of
process generating mechanisms across a wide range of disciplines, all too often the …

One hallmark of aging is the accumulation of protein aggregates, promoted by the unfolding
of oxidized proteins. Unraveling the mechanism by which oxidized proteins are degraded …

Accumulation of altered proteins is the most common molecular symptom of ageing. Altered
proteins are also associated with many age-related pathologies. Altered proteins are …

Ageing is intrinsically complex, being driven by multiple causal mechanisms. Each
mechanism tends to be partially supported by data indicating that it has a role in the overall …