Simulating the dynamics of gene regulatory systems at cellular scale

GeneRegulatorySystems.jl enables exact stochastic simulation of fully non-linear eukaryotic gene expression dynamics for tens of thousands of genes, including feedback control.

• Why it matters: Existing gene regulatory models often simplify nonlinear regulation to stay tractable, risking mismatch with biological understanding and limiting faithful study of dynamical behavior.
• What they did: The authors built a proof-of-principle simulator in Julia using a biophysical chemical master equation, adding support for feedback, protein-mediated degradation, RNAi, and protein complex formation, and scaling via a domain-specific programming language.
• The result: The framework provides a grammar for in silico experimental design that can capture single-cell gene expression dynamics for entire genomes, bridging small studied scenarios to large-scale omics with interventions.

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