Evolution of canalizing Boolean networks
Evolution of canalizing Boolean networks
复制标题
疏导布尔网络的演变
DOI：
10.1140/epjb/e2007-00135-2
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
B. Drossel
中科院分区：
文献类型：
--
作者：
Agnes Szejka;B. Drossel
摘要：具有渠道功能的布尔网络用于模拟基因调控网络。为了了解此类网络在进化力下的行为方式，我们通过自适应行走来模拟单个布尔网络的进化，这使我们能够探索适应度景观。突变改变了节点的连接和功能。我们的适应度标准是动态吸引子对小扰动的鲁棒性。我们发现，根据这个适应度标准，总能达到全局最大值，并且存在一个巨大的 100% 适应度的中立空间。此外，尽管具有如此高的鲁棒性，演进的网络仍然与“混沌”网络共享许多特征。
Abstract.Boolean networks with canalizing functions are used to model gene regulatory networks. In order to learn how such networks may behave under evolutionary forces, we simulate the evolution of a single Boolean network by means of an adaptive walk, which allows us to explore the fitness landscape. Mutations change the connections and the functions of the nodes. Our fitness criterion is the robustness of the dynamical attractors against small perturbations. We find that with this fitness criterion the global maximum is always reached and that there is a huge neutral space of 100% fitness. Furthermore, in spite of having such a high degree of robustness, the evolved networks still share many features with “chaotic” networks.
影响因子：
2
作者：
Albert, R;Othmer, HG
通讯作者：
Othmer, HG