Browse our latest Computational and Systems Biology articles

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.

The proposed muscle network analysis framework identifies a redundancy-to-synergy shift as a marker of stroke recovery, yielding new biomarkers that could objectively quantify functional impairment and rehabilitation efficacy.

A computational pipeline leverages mammalian heart development videos to extract tissue deformation patterns and generate a virtual fate map tool that provides new insights into cardiac morphogenesis.