Savageau M A
Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor 48109-0620.
J Mol Recognit. 1993 Dec;6(4):149-57. doi: 10.1002/jmr.300060403.
Molecular recognition is a central issue for nearly every biological mechanism. The analysis of molecular recognition to date has been conducted within the framework of classical chemical kinetics, in which the kinetic orders of a reaction have positive integer values. However, recent theoretical and experimental advances have shown that the assumptions inherent in this classical framework are invalid under a variety of conditions in which the reaction environment may be considered nonideal. A good example is provided by reactions that are spatially constrained and diffusion limited. Bimolecular reactions confined within two-dimensional membranes, one-dimensional channels or fractal surfaces in general exhibit kinetic orders that are noninteger. An appropriate framework for the study of these nonideal phenomena is provided by the Power-Law formalism, which includes as special cases the Mass-Action formalism of chemical kinetics and the Michaelis-Menten formalism of enzyme kinetics. The Power-Law formalism is an appropriate representation not only for fractal kinetics per se, but also for other nonideal kinetic phenomena, provided the range of variation in concentration is not too large. After defining some elementary concepts of molecular recognition, and showing how these are manifested in classical kinetic terms, this paper contrasts the implications of classical and fractal kinetics in a few simple cases. The principal distinction lies in the ability of fractal kinetics to nonlinearly transform, rather than proportionally transmit, the input S/N ratio. As a consequence, fractal kinetics create a threshold for the input signal below which no recognition occurs and above which amplified recognition takes place.(ABSTRACT TRUNCATED AT 250 WORDS)
分子识别是几乎每一种生物机制的核心问题。迄今为止,分子识别的分析都是在经典化学动力学的框架内进行的,在该框架中,反应的动力学级数具有正整数值。然而,最近的理论和实验进展表明,在反应环境可能被视为非理想的各种条件下,这个经典框架中固有的假设是无效的。一个很好的例子是受到空间限制和扩散限制的反应。一般来说,限制在二维膜、一维通道或分形表面内的双分子反应表现出非整数的动力学级数。幂律形式体系为研究这些非理想现象提供了一个合适的框架,它包括化学动力学的质量作用形式体系和酶动力学的米氏形式体系等特殊情况。幂律形式体系不仅是分形动力学本身的合适表示,而且对于其他非理想动力学现象也是合适的表示,前提是浓度变化范围不太大。在定义了分子识别的一些基本概念,并展示了这些概念在经典动力学术语中的表现方式之后,本文在几个简单的例子中对比了经典动力学和分形动力学的含义。主要区别在于分形动力学能够对输入的信噪比进行非线性变换,而不是成比例地传递。因此,分形动力学为输入信号创建了一个阈值,低于该阈值则不会发生识别,高于该阈值则会发生放大识别。(摘要截于250字)