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arXiv 2204.04838cond-mat.softphysics.bio-ph
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基于主动力学的鲁棒分子计算

Robust Molecular Computation by Active Mechanics

Kabir Husain, Sriram Ramaswamy, Madan Rao

摘要:

活细胞消耗能量和物质资源来可靠地处理来自环境的信息。为了做到这一点,它利用了不可靠的分子电路,该电路会受到热和其他波动的影响。在这里,我们认为,积极的,物理过程可以提供信息处理的纠错机制。我们分析了一个模型,在该模型中,波动的受体激活诱导收缩应力,招募更多的受体,动态控制资源的使用和准确性。我们表明,这种主动方案可以优于被动,静态集群(如形成,例如,通过蛋白质交联)。我们考虑简单的二进制环境,信息决策树和化学计算;在每种情况下,主动应力用于上下文构建信号平台,动态抑制错误,并允许强大的细胞计算。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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