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Controllability Analysis of Transcriptional Regulatory Networks for Saccharomyces Cerevisiae

机译:酿酒酵母转录调控网络的可控性分析

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Structural controllability of complex networks has been a research focus in recent years. However, few works considered the structural controllability of biological networks, especially for dynamic biological networks. In this paper, structural controllability of one static and five dynamic transcriptional regulatory networks (TRNs) for Saccharomyces cerevisiae (S. cerevisiae) have been investigated. The five dynamic networks included two endogenous and three exogenous ones. We clarified the controllability properties of these networks, as well as explored the differences among different types of networks. Our results revealed that the structural properties of different types of networks are significantly different. We found that the TRNs are rather difficult to be fully controlled. However, the dynamic TRNs were relatively easier to be controlled than the static one, and one needs relatively more external inputs to control the exogenous TRNs than the endogenous ones. Based on the structural controllability analysis of subnetworks with the same sizes, as well as randomly perturbed networks by preserving degree distributions, we further illustrated that the structural controllability of the six networks may be mainly dominated by their degree distributions. Our investigations clarify the control properties of TRNs in S. cerevisiae, it provides some insights on real-world control of biological networks.
机译:近年来,复杂网络的结构可控性一直是研究的重点。但是,很少有研究考虑到生物网络的结构可控性,特别是对于动态生物网络。本文研究了酿酒酵母(S. cerevisiae)的一个静态和五个动态转录调控网络(TRN)的结构可控性。五个动态网络包括两个内生网络和三个外生网络。我们阐明了这些网络的可控性,并探讨了不同类型网络之间的差异。我们的研究结果表明,不同类型的网络的结构特性显着不同。我们发现TRN很难完全控制。但是,动态TRN比静态TRN更易于控制,并且与内源TRN相比,动态TRN需要相对更多的外部输入来控制外源TRN。基于具有相同大小的子网络的结构可控性分析以及通过保留度数分布随机扰动的网络,我们进一步说明了六个网络的结构可控性可能主要由它们的度数分布决定。我们的研究澄清了酿酒酵母中TRN的控制特性,它为生物网络的实际控制提供了一些见识。

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