Some protein interaction data do not exhibit power law statistics
Some protein interaction data do not exhibit power law statistics
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DOI：
10.1016/j.febslet.2005.08.024
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发表时间：
2005-09-26
期刊：
影响因子：
3.5
通讯作者：
Doyle, J
中科院分区：
文献类型：
--
作者：
Tanaka, R;Yi, TM;Doyle, J
蛋白质-蛋白质相互作用（PPI）网络是无标度的，识别高度的“枢纽”蛋白揭示了PPI网络的重要特征。在本文中，我们评估了PPI节点度序列遵循幂律的说法，幂律是网络无标度的必要条件。我们提供了两个PPI网络示例，当正确分析时，它们显然没有幂律，因此至少这些PPI网络不是无标度的。我们还表明，根据现有文献中已成为标准的方法，这些PPI网络确实似乎具有幂律。我们使用从分析公式中生成的数值数据来解释这种误差的来源，其中没有采样或噪声歧义。(c) 2005年欧洲生化学会联合会。Elsevier B.V.版权所有。
It has been claimed that protein-protein interaction (PPI) networks are scale-free, and that identifying high-degree "hub" proteins reveals important features of PPI networks. In this paper, we evaluate the claims that PPI node degree sequences follow a power law, a necessary condition for networks to be scale-free. We provide two PPI network examples which clearly do not have power laws when analyzed correctly, and thus at least these PPI networks are not scale-free. We also show that these PPI networks do appear to have power laws according to methods that have become standard in the existing literature. We explain the source of this error using numerically generated data from analytic formulas, where there are no sampling or noise ambiguities. (c) 2005 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.