Lindo Andre M, Faria Bruno F, de Abreu Fernao V
ICBAS and I3S, Universidade do Porto, Porto, Portugal.
Theory Biosci. 2012 Jun;131(2):77-84. doi: 10.1007/s12064-011-0134-z. Epub 2011 Sep 24.
In complex systems, feedback loops can build intricate emergent phenomena, so that a description of the whole system cannot be easily derived from the properties of the individual parts. Here, we propose that inter-molecular frustration mechanisms can provide non-trivial feedback loops which can develop non-trivial specificity amplification. We show that this mechanism can be seen as a more general form of a kinetic proofreading (KP) mechanism, with an interesting new property, namely the ability to tune the specificity amplification by changing the reactants concentrations. This contrasts with the classical KP mechanism in which specificity is a function of only the reaction rate constants involved in a chemical pathway. These results are also interesting because they show that a wide class of frustration models exists that share the same underlining KP mechanisms, with even richer properties. These models can find applications in different areas such as evolutionary biology, immunology, and biochemistry.
在复杂系统中,反馈回路能够构建出复杂的涌现现象,以至于无法轻易地从各个部分的属性推导出整个系统的描述。在此,我们提出分子间受挫机制可以提供非平凡的反馈回路,从而实现非平凡的特异性放大。我们表明,这种机制可被视为动力学校对(KP)机制的一种更通用形式,具有一个有趣的新特性,即能够通过改变反应物浓度来调节特异性放大。这与经典的KP机制形成对比,在经典KP机制中,特异性仅是化学途径中所涉及反应速率常数的函数。这些结果也很有趣,因为它们表明存在一大类受挫模型,这些模型共享相同的潜在KP机制,且具有更丰富的特性。这些模型可在进化生物学、免疫学和生物化学等不同领域找到应用。