适应性伊辛模型与细菌趋化受体网络
Adaptive Ising Model and Bacterial Chemotactic Receptor Network
摘要：
我们提出了一个所谓的自适应伊辛模型（AIM）提供了一个统一的解释敏感性和完美的适应细菌趋化信号，受体二聚体之间的耦合的基础上。在AIM中，代表配体结合的外部场随机施加到代表受体二聚体状态的一部分自旋上，并且存在来自局部场上的自旋值的延迟负反馈。该模型是在绝热方法求解。如果反馈足够慢和弱，就像在趋化性信号中一样，系统通过准平衡态发展，代表信号的“磁化”总是向零衰减，并且总是对随后的刺激敏感。
英文摘要：
We present a so-called adaptive Ising model (AIM) to provide a unifying explanation for sensitivity and perfect adaptation in bacterial chemotactic signalling, based on coupling among receptor dimers. In an AIM, an external field, representing ligand binding, is randomly applied to a fraction of spins, representing the states of the receptor dimers, and there is a delayed negative feedback from the spin value on the local field. This model is solved in an adiabatic approach. If the feedback is slow and weak enough, as indeed in chemotactic signalling, the system evolves through quasi-equilibrium states and the ``magnetization'', representing the signal, always attenuates towards zero and is always sensitive to a subsequent stimulus.
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