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An analytical approach to bistable biological circuit discrimination using real algebraic geometry

机译:一种使用实数代数几何的双稳态生物回路判别分析方法

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Biomolecular circuits with two distinct and stable steady states have been identified as essential components in a wide range of biological networks, with a variety of mechanisms and topologies giving rise to their important bistable property. Understanding the differences between circuit implementations is an important question, particularly for the synthetic biologist faced with determining which bistable circuit design out of many is best for their specific application. In this work we explore the applicability of Sturm's theorem a tool from nineteenth-century real algebraic geometry to comparing 'functionally equivalent' bistable circuits without the need for numerical simulation. We first consider two genetic toggle variants and two different positive feedback circuits, and show how specific topological properties present in each type of circuit can serve to increase the size of the regions of parameter space in which they function as switches. We then demonstrate that a single competitive monomeric activator added to a purely monomeric (and otherwise monostable) mutual repressor circuit is sufficient for bistability. Finally, we compare our approach with the Routh-Hurwitz method and derive consistent, yet more powerful, parametric conditions. The predictive power and ease of use of Sturm's theorem demonstrated in this work suggest that algebraic geometric techniques may be underused in biomolecular circuit analysis.
机译:具有两个不同且稳定的稳态的生物分子电路已被确定为广泛的生物网络中的必不可少的组成部分,具有多种机制和拓扑结构使其具有重要的双稳态特性。理解电路实现方式之间的差异是一个重要的问题,特别是对于合成生物学家来说,要确定众多双稳态电路设计最适合其特定应用。在这项工作中,我们探索了Sturm定理的适用性,该工具来自19世纪的实数代数几何,用于比较“功能等效”的双稳态电路,而无需进行数值模拟。我们首先考虑两个遗传切换变量和两个不同的正反馈电路,并说明每种类型的电路中存在的特定拓扑属性如何可以用来增加它们充当开关的参数空间区域的大小。然后,我们证明了将单一竞争性单体活化剂添加到纯单体(或其他单稳态)互阻剂回路中足以实现双稳态。最后,我们将我们的方法与Routh-Hurwitz方法进行比较,并得出一致但更强大的参数条件。这项工作证明了Sturm定理的预测能力和易用性表明,代数几何技术在生物分子电路分析中可能未得到充分利用。

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