Stevens C F
Biophys J. 1978 May;22(2):295-306. doi: 10.1016/S0006-3495(78)85490-3.
We have approached the problem of nerve excitability through three questions: (a) What is the diagram for a channel? That is, what conformational states can the protein assume, and what transitions between these conformations are permitted? (b) What is the channel conductance associated with each conformation the channel can assume? (c) How do the rates for conformational transition depend upon membrane potential? These three questions arise from a standard statistical mechanical treatment of a nerve membrane containing several classes of identical, independent channels. Gating of channels, in this view, is associated with conformational changes of the channel protein, and it is assumed these conformations are distinct. The precise formulation of these questions is presented in terms of the theoretical treatment, and the approaches we have taken to answer the questions are indicated. Our present results indicate: Transition rates should depend exponentially on membrane potential over a limited voltage range, but probably will show a more complex dependence for extremes of the range; channels probably can take on only two conductances, open and shut, but more complicated situations are not entirely excluded; the diagram for a channel cannot be determined from standard voltage clamp data alone, but by studying gating currents and conductance fluctuations, it should be possible to select between alternative plausible physical mechanisms.
(a)通道的示意图是怎样的?也就是说,蛋白质能呈现哪些构象状态,以及这些构象之间允许哪些转变?(b)通道能呈现的每种构象所对应的通道电导是多少?(c)构象转变的速率如何依赖于膜电位?这三个问题源自对包含几类相同、独立通道的神经膜进行的标准统计力学处理。从这个角度来看,通道的门控与通道蛋白的构象变化相关,并且假定这些构象是不同的。这些问题的精确表述将依据理论处理给出,同时也会指出我们为回答这些问题所采用的方法。我们目前的结果表明:在有限的电压范围内,转变速率可能会指数性地依赖于膜电位,但在该范围的极值情况下可能会呈现更复杂的依赖关系;通道可能仅具有两种电导状态,即开放和关闭,但也不能完全排除更复杂的情况;仅从标准电压钳数据无法确定通道的示意图,但通过研究门控电流和电导波动,应该能够在几种看似合理的物理机制之间做出选择。