Schneider T D
Frederick Cancer Research and Development Center, Laboratory of Mathematical Biology, MD 21702.
J Theor Biol. 1991 Jan 7;148(1):83-123. doi: 10.1016/s0022-5193(05)80466-7.
Like macroscopic machines, molecular-sized machines are limited by their material components, their design, and their use of power. One of these limits is the maximum number of states that a machine can choose from. The logarithm to the base 2 of the number of states is defined to be the number of bits of information that the machine could "gain" during its operation. The maximum possible information gain is a function of the energy that a molecular machine dissipates into the surrounding medium (Py), the thermal noise energy which disturbs the machine (Ny) and the number of independently moving parts involved in the operation (dspace): Cy = dspace log2 [( Py + Ny)/Ny] bits per operation. This "machine capacity" is closely related to Shannon's channel capacity for communications systems. An important theorem that Shannon proved for communication channels also applies to molecular machines. With regard to molecular machines, the theorem states that if the amount of information which a machine gains is less than or equal to Cy, then the error rate (frequency of failure) can be made arbitrarily small by using a sufficiently complex coding of the molecular machine's operation. Thus, the capacity of a molecular machine is sharply limited by the dissipation and the thermal noise, but the machine failure rate can be reduced to whatever low level may be required for the organism to survive.
与宏观机器一样,分子大小的机器也受到其材料成分、设计以及动力使用的限制。其中一个限制是机器可选择的最大状态数。以2为底的状态数的对数被定义为机器在运行过程中可以“获得”的信息量。最大可能的信息增益是分子机器耗散到周围介质中的能量(Py)、干扰机器的热噪声能量(Ny)以及运行中涉及的独立运动部件数量(dspace)的函数:每次运行的Cy = dspace log2 [(Py + Ny)/Ny] 比特。这种“机器容量”与通信系统的香农信道容量密切相关。香农为通信信道证明的一个重要定理也适用于分子机器。对于分子机器,该定理指出,如果机器获得的信息量小于或等于Cy,那么通过对分子机器的操作进行足够复杂的编码,错误率(失败频率)可以任意小。因此,分子机器的容量受到耗散和热噪声的严格限制,但机器故障率可以降低到生物体生存所需的任何低水平。