Maximum Entropy Parameter Inference in Biological Networks

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Overarching Goal: Appoximate biological process networks - such as molecular signaling and protein inetractions - as Markov birth-death processes and infer their parameters using MaxEnt to quantitatively characterize and predict cell` population response heterogeneity.
Analysis of Bistability in the Lactose Utilization Network of E.coli as a model network.
Infer molecular abundance time-evolution trajectories using MaxEnt in the E.coli lactose utilization network.

Dixit, Purushottam D., et al. "Maximum entropy framework for predictive inference of cell population heterogeneity and responses in signaling networks." Cell systems 10.2 (2020): 204-212.
Kim, Dae Wook, et al. "Systematic inference identifies a major source of heterogeneity in cell signaling dynamics: The rate-limiting step number." Science advances 8.11 (2022): eabl4598.

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