Browse our latest Computational and Systems Biology articles

Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.

CausalXtract is a computational tool to discover causal effects, beyond classical Granger and Schreiber causality approaches, from live-cell imaging data for a range of fundamental and translational research applications.

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

The identification of a conserved α-helical domain in monkeypox virus H3 protein as critical for heparan sulfate binding unveils a novel therapeutic target, validated through AI and molecular dynamics simulations, offering potential for broad-spectrum antiviral development.

A novel methodology, using diversity search AI algorithms, for exploring the space of possible behaviors of gene regulatory networks, from the perspective of generic problem-solving agents navigating their environment.

Breast luminal epithelial cells are the hotspots of aging-associated changes, which prime aged epithelia for oncogenic gene activation and may explain individual differences in breast cancer susceptibility due to the aging-associated increase in gene expression variances in luminal epithelia.

Biased research interest in proteins and aggregation of interactions from multiple studies can explain why node degree distributions in protein-protein interaction networks follow a power law.

Computational pipeline SPICE systematically screens and predicts novel protein-protein binding complexes including the previously unrecognized global association and functional cooperation between IKZF1 and AP1.