Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks
Stochastic innovation as a mechanism by which catalysts might self-assemble into chemical reaction networks
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DOI：
10.1073/pnas.0703522104
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发表时间：
2007-06-12
影响因子：
11.1
通讯作者：
Dill, Ken A.
中科院分区：
文献类型：
--
作者：
Bradford, Justin A.;Dill, Ken A.
我们开发了一个计算机模型，两种不同的化学催化剂在溶液中，A和B，可以驱动形成AB复合物，基于浓度梯度的底物或产品，他们共享的共同点。如果A的产品是B的底物，那么B就会被吸引到A，这是由一种在环境中并不丰富的共同资源所介导的。通过这种简单的物理化学机制，化学反应可以在溶液中自发地结合在一起。根据该模型，这种催化剂自关联过程可能类似于其他“随机创新”过程，例如生物学中的达尔文进化，涉及在选项中搜索，在这些选项中选择，然后锁定该选择。就像达尔文的进化过程一样，这个简单的化学过程表现出合作、竞争、创新和对一致性的偏好。这个模型可能是有用的理解组织过程中的前生物化学和化学反应系统中开发新类型的自组织。
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 physicochemical 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 prebiotic chemistry and for developing new kinds of self-organization in chemically reacting systems.