Proteins are inherently flexible at ambient temperature. At equilibrium, they are
characterized by a set of conformations that undergo continuous exchange within a …

An increasing number of industrial bioprocesses capitalize on living cells by using them as
cell factories that convert sugars into chemicals. These processes range from the production …

Regression analysis makes up a large part of supervised machine learning, and consists of
the prediction of a continuous independent target from a set of other predictor variables. The …

High-throughput technologies, offering an unprecedented wealth of quantitative data
underlying the makeup of living systems, are changing biology. Notably, the systematic …

A powerful way of gaining insight into biological systems is by creating a nonlinear
differential equation model, which usually contains many unknown parameters. Such a …

Quantitative computational models play an increasingly important role in modern biology.
Such models typically involve many free parameters, and assigning their values is often a …

Coated pits assemble by growth of a clathrin lattice, which is linked by adaptors to the
underlying membrane. How does this process start? We used live-cell TIRF imaging with …

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

Mathematical models are routinely calibrated to experimental data, with goals ranging from
building predictive models to quantifying parameters that cannot be measured. Whether or …

Total internal reflection fluorescence microscopy (TIR-FM) has become a powerful tool for
studying clathrin-mediated endocytosis. However, due to difficulties in tracking and …