Robust Molecular Computation by Active Mechanics

The living cell expends energetic and material resources to reliably process information from its environment. To do so, it utilises unreliable molecular circuitry that is subject to thermal and other fluctuations. Here, we argue that active, physical processes can provide error correcting mechanisms for information processing. We analyse a model in which fluctuating receptor activation induces contractile stresses that recruit further receptors, dynamically controlling resource usage and accuracy. We show that this active scheme can outperform passive, static clusters (as formed, for instance, by protein crosslinking). We consider simple binary environments, informative decision trees, and chemical computations; in each case, active stresses serve to contextually build signalling platforms that dynamically suppress error and allows for robust cellular computation.

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