Browse our latest Computational and Systems Biology articles

Promoter futile cycles can explain how subtle differences in genome folding sometimes generate large difference in gene expression.

Measurement of physiological intracellular Ca²⁺ signals following neural stimulation in vivo reveals distinct spatiotemporal characteristics that promote optimal salivary gland fluid secretion.

A novel comparative genomics framework identifies MECP2 network proteins targeted by existing drugs, with three drugs validated in an in vitro Rett syndrome model.

Genome editing, advanced live-cell microscopy, and computational modeling were combined to measure WNT/CTNNB1 signaling parameters at the single molecule level, revealing critical regulatory nodes in this important signal transduction pathway.

Integrated multi-scale, multi-tool approach to design novel 'evolution drugs' which can delay the emergence of antibiotic resistance by constraining bacterial evolutionary escape strategies.

NICEdrug.ch is a resource allowing systematic and large-scale computational analysis of drug biochemistry, enzymatic targets, and toxicity in the context of cellular metabolism.

The extension of covariation analyses to proteins that coevolve but do not physically interact enabled identification of selectivity residues in quorum sensing proteins, providing insight into the evolution of signaling systems.

A new way of measuring sociality in human and animal contact networks reveals the link between social behavior, population density, and disease transmission.

Fast and flexible estimation of effective migration surfaces (FEEMS) is a new statistical method that can quickly infer and visualize patterns of migration from genetic data with spatial coordinates.

Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.