Browse our latest Computational and Systems Biology articles

Drosophila grooming is driven by two internal programs.

Bayesian integration is able to predict placebo treatment outcomes by focusing especially on the influence of the precision of expectations.

Phosphorylation of Aurora A does not trigger a population shift to the active state as previously thought, but instead switches the kinase on by tuning the structure and dynamics of a dynamically sampled subpopulation.

Statistics on the frequencies of pi interactions in folded protein structures enable successful prediction of intrinsically disordered protein phase separation, with clear implications for a physical understanding of cellular organization.

The extinction of bacterial populations by antibiotics is stochastic and can be predicted only probabilistically, not deterministically.

Epithelial tissue remodeling during Drosophila embryonic development is quantitatively described by a simple law relating myosin activity and cell flow.

Puzzle-shape cells in the epidermis of many plants form due to a development constraint based on mechanical forces.

High-performance computing simulations reveal how two remote sites in the multidrug transporter AcrB work together for drug extrusion using the proton-motive force.

Stochastic resonance, triggered by fluctuations in brain state, is found to determine the outcomes of periodic stimulation and how it interacts with brain oscillations.

Basal ganglia gene coexpression patterns shift across the sensorimotor critical period for vocal learning.