Braunewell Stefan, Bornholdt Stefan
Institute for Theoretical Physics, University of Bremen, Bremen, Germany.
Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Jun;77(6 Pt 1):060902. doi: 10.1103/PhysRevE.77.060902. Epub 2008 Jun 20.
Control of the living cell functions with remarkable reliability despite the stochastic nature of the underlying molecular networks--a property presumably optimized by biological evolution. We ask here to what extent the ability of a stochastic dynamical network to produce reliable dynamics is an evolvable trait. Using an evolutionary algorithm based on a deterministic selection criterion for the reliability of dynamical attractors, we evolve networks of noisy discrete threshold nodes. We find that, starting from any random network, reliability of the attractor landscape can often be achieved with only a few small changes to the network structure. Further, the evolvability of networks toward reliable dynamics while retaining their function is investigated and a high success rate is found.
尽管潜在分子网络具有随机性，但活细胞功能仍能以极高的可靠性得到控制——这一特性可能是通过生物进化而优化的。我们在此探讨随机动态网络产生可靠动态的能力在多大程度上是一种可进化的特征。使用基于动态吸引子可靠性的确定性选择标准的进化算法，我们对有噪声的离散阈值节点网络进行进化。我们发现，从任何随机网络开始，通常只需对网络结构进行少量微小改变就能实现吸引子格局的可靠性。此外，还研究了网络在保持其功能的同时向可靠动态进化的能力，并发现成功率很高。
