Browse our latest Computational and Systems Biology articles

Reducing the microbial diversity in a type of fermented tea reveals the core metabolic interactions responsible for the drink’s signature taste and characteristics.

Analysis of protein interfaces suggests cotranslational assembly can be an adaptive process, likely serving to minimise non-specific interactions with other proteins in the cell.

A mathematical model of osteoporosis explains why the sequence of osteoporosis medications matters for short-term and long-term treatment success.

Behavioural evidence and computational analyses suggest that people tend to decline the pursuit of more rewarded goals because they, wrongly, expect them to require more effortful actions.

Naive CD4 and CD8 T cells in mice increase their survival capacity with age, but their numbers are not homeostatically regulated.

Invasive electrophysiological recordings from the human brain reveal that different mood levels translate into different brain states that predispose subjects to make risky or safe decisions.

Mathematical models encoding biological hypotheses reveal new insight into the dynamics of naive immune cells in mice from birth to old age.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

Spiking neural networks become robust to various perturbations of their parameters if their voltages are confined to a lower-dimensional subspace, and both dynamics and robustness can be visualised in this voltage subspace.

A biophysical model of the process by which bacteria transition from the motile planktonic state to the immobilized biofilm state yields testable predictions in terms of two dimensionless parameters, one describing nutrient availability and the other describing cellular dispersal.