Browse our latest Computational and Systems Biology articles

Dimensions for reinforcement learning reduced by dynamic organization of cerebellar climbing fiber response and synchrony in multiple functional components.

An interpretable machine learning approach can recapitulate the molecular features associated to immune protein-protein binding and leverage them for the prediction of immune response specificity.

High proportions of gut bacteria that produce their own food can be an indicator for poor gut health.

A near-linear relationship between electrical stimulus duration and resultant joint torque in stick insects has been unveiled, enhancing control strategies in biohybrid robotics.

GENIUS provides a deep learning framework for multi-omics integration that transforms data into spatial images, using integrated gradients to reveal novel and critical cancer gene association.

Heterogeneity in the population of granule cells in the dentate gyrus, which includes immature and mature neurons with distinct intrinsic properties, contributes to the population's enhanced encoding capabilities and ability to discriminate correlated stimuli.

Deciphering the dynamics of the allosteric communication and the formation of transient pockets along the activation pathway of G-protein-coupled receptors provides useful information for the design of allosteric modulators.

Volume electron-microscopic reconstructions of auditory brainstem neurons and their afferent synapses were used to develop a pipeline creating biophysically defined computational models with heterogenous inputs, revealing roles for subthreshold synapses to enhance temporal processing unique features of their dendrites.

A computational model of glutamatergic synapse uncovers a new plasticity rule which takes into account the various experimental conditions.