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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks
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Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks

机译：随机创新作为催化剂可能自组装成化学反应网络的机制

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摘要

We develop a computer model for how two different chemical catalysts in solution, A and B, could be driven to form AB complexes, based on the concentration gradients of a substrate or product that they share in common. If A's product is B's substrate, B will be attracted to A, mediated by a common resource that is not otherwise plentiful in the environment. By this simple physico-chemical mechanism, chemical reactions could spontaneously associate to become chained together in solution. According to the model, such catalyst self-association processes may resemble other processes of "stochastic innovation," such as Darwinian evolution in biology, that involve a search among options, a selection among those options, and then a lock-in of that selection. Like Darwinian processes, this simple chemical process exhibits cooperation, competition, innovation, and a preference for consistency. This model may be useful for understanding organizational processes in pre-biotic chemistry and for developing new kinds of self-organization in chemically reacting systems.
机译：我们基于共同共享的底物或产物的浓度梯度，开发了一种计算机模型，用于研究如何驱动溶液中的两种不同化学催化剂A和B形成AB络合物。如果A的产品是B的底物，则B将被环境中不丰富的公共资源所吸引而被A吸引。通过这种简单的物理化学机制，化学反应可以自发地结合在一起，从而在溶液中链在一起。根据该模型，此类催化剂的自缔合过程可能类似于“随机创新”的其他过程，例如生物学中的达尔文进化，涉及到在选项之间进行搜索，在这些选项之间进行选择，然后锁定该选择。 。与达尔文方法一样，这种简单的化学过程也表现出合作，竞争，创新以及对一致性的偏爱。该模型对于理解益生元化学中的组织过程以及开发化学反应系统中的新型自组织可能有用。

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