Figure 1. Illustration of the use of the deep learning algorithm (Density-PINNs) for inferring the distribution for signal transduction time delay and elucidating the causes of heterogeneity among cells (IMAGE)

Institute for Basic Science

Figure 1. Illustration of the use of the deep learning algorithm (Density-PINNs) for inferring the distribution for signal transduction time delay and elucidating the causes of heterogeneity among cells

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(Top) When cells are exposed to antibiotic stress, response proteins are produced through the signal transduction pathway. Density-PINNs utilize the time-series data of accumulated response proteins to infer the distribution of signal transduction time delays, and the shape of this distribution provides valuable information about the structure of the signaling pathway. (Bottom) A multiple parallel pathway structure in the cellular signaling system significantly reduces the heterogeneity among cells in response to antibiotics.

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Institute for Basic Science

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