摘要翻译：
基因转录调控网络的一个显著特征是网络中存在大量的模体，即互连模式。其中一个基序是由三个基因X、Y和z组成的前馈环(FFL)。X的蛋白质产物控制Y的蛋白质产物Y的合成。蛋白质X和Y共同调节z基因合成z蛋白。根据调节相互作用的性质，FFL可以分为八种不同的类型，又可以分为两类：相干和非相干。本文利用Langevin形式和基于Gillespie算法的Monte Carlo仿真技术研究了FFLs的噪声特性。我们计算了FFLs稳态下平均蛋白质水平的方差，发现在相干FFLs的情况下，最丰富的FFL，即1型相干FFL，噪声最小。然而，在非相干FFLS的情况下，情况并非如此。结果提示了噪声、功能性和丰度之间的可能关系。
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英文标题：
《Noise Characteristics of Feed Forward Loops》
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作者：
Bhaswar Ghosh, Rajesh Karmakar and Indrani Bose
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最新提交年份：
2004
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Molecular Networks        分子网络
分类描述：Gene regulation, signal transduction, proteomics, metabolomics, gene and enzymatic networks
基因调控、信号转导、蛋白质组学、代谢组学、基因和酶网络
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一级分类：Physics        物理学
二级分类：Other Condensed Matter        其他凝聚态物质
分类描述：Work in condensed matter that does not fit into the other cond-mat classifications
在不适合其他cond-mat分类的凝聚态物质中工作
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一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  A prominent feature of gene transcription regulatory networks is the presence in large numbers of motifs, i.e, patterns of interconnection, in the networks. One such motif is the feed forward loop (FFL) consisting of three genes X, Y and Z. The protein product of x of X controls the synthesis of protein product y of Y. Proteins x and y jointly regulate the synthesis of z proteins from the gene Z. The FFLs, depending on the nature of the regulating interactions, can be of eight different types which can again be classified into two categories: coherent and incoherent. In this paper, we study the noise characteristics of FFLs using the Langevin formalism and the Monte Carlo simulation technique based on the Gillespie algorithm. We calculate the variances around the mean protein levels in the steady states of the FFLs and find that, in the case of coherent FFLs, the most abundant FFL, namely, the Type-1 coherent FFL, is the least noisy. This is however not so in the case of incoherent FFLs. The results suggest possible relationships between noise, functionality and abundance.
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PDF链接：
https://arxiv.org/pdf/q-bio/0411013