Browse our latest Computational and Systems Biology articles

DNA-methylation-based predictors of biological age often fail to generalize across human populations, limiting their utility as biomarkers of aging and disease.

Current general-purpose large language models generate signaling and metabolic networks with only modest accuracy relative to manually curated network models.

Fundamental distinctions in the extracellular signatures of active-dendritic chemical and electrical synapses necessitate a revision of conventional interpretations of local field potentials centered on chemical synapses.

The brain computes rapidly and reliably using brief electrical impulses and likely exploits internal memory in nerve cells to achieve this more efficiently than existing computing hardware and neural networks.

Large-scale synthetic datasets enable construction of digital twins of individual human excitable cells from a single voltage-clamp recording.