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Computation capacities of a broad class of signaling networks are higher than their communication capacities
arXiv - CS - Information Theory Pub Date : 2020-11-20 , DOI: arxiv-2011.10529 Iman Habibi, Effat S Emamian, Osvaldo Simeone, Ali Abdi
arXiv - CS - Information Theory Pub Date : 2020-11-20 , DOI: arxiv-2011.10529 Iman Habibi, Effat S Emamian, Osvaldo Simeone, Ali Abdi
Due to structural and functional abnormalities or genetic variations and
mutations, there may be dysfunctional molecules within an intracellular
signaling network that do not allow the network to correctly regulate its
output molecules, such as transcription factors. This disruption in signaling
interrupts normal cellular functions and may eventually develop some
pathological conditions. In this paper, computation capacity of signaling
networks is introduced as a fundamental limit on signaling capability and
performance of such networks. The computation capacity measures the maximum
number of computable inputs, that is, the maximum number of input values for
which the correct functional output values can be recovered from the erroneous
network outputs, when the network contains some dysfunctional molecules. This
contrasts with the conventional communication capacity that measures instead
the maximum number of input values that can be correctly distinguished based on
the erroneous network outputs. The computation capacity is higher than the communication capacity, if the
network response function is not a one-to-one function of the input signals. By
explicitly incorporating the effect of signaling errors that result in the
network dysfunction, the computation capacity provides more information about
the network and its malfunction. Two examples of signaling networks are studied
here, one regulating caspase3 and another regulating NFkB, for which
computation and communication capacities are analyzed. Higher computation
capacities are observed for both networks. One biological implication of this
finding is that signaling networks may have more capacity than that specified
by the conventional communication capacity metric. The effect of feedback is
also studied. In summary, this paper reports findings on a new fundamental
feature of the signaling capability of cell signaling networks.
中文翻译:
各种信令网络的计算能力高于其通信能力
由于结构和功能异常或遗传变异和突变,细胞内信号网络中可能存在功能失调的分子,这些分子无法使网络正确调节其输出分子,例如转录因子。信号传导的这种中断会中断正常的细胞功能,并可能最终发展出某些病理状况。本文将信令网络的计算能力作为对此类网络的信令能力和性能的基本限制进行介绍。计算能力测量的是可计算输入的最大数量,即当网络包含一些功能失常的分子时,可以从错误的网络输出中恢复正确的功能输出值的最大输入值数量。这与常规的通信容量形成对比,传统的通信容量替代地测量可以基于错误的网络输出正确区分的输入值的最大数量。如果网络响应函数不是输入信号的一对一函数,则计算能力高于通信能力。通过明确合并导致网络故障的信令错误的影响,计算能力可提供有关网络及其故障的更多信息。这里研究了两个信令网络示例,一个是调节caspase3,另一个是调节NFkB,分析了它们的计算和通信能力。对于两个网络都观察到更高的计算能力。这一发现的生物学含义是,信令网络可能比常规通信容量度量所指定的容量更大。还研究了反馈的影响。总而言之,本文报告了有关蜂窝信令网络信令能力的新基本特征的发现。
更新日期:2020-11-23
中文翻译:
各种信令网络的计算能力高于其通信能力
由于结构和功能异常或遗传变异和突变,细胞内信号网络中可能存在功能失调的分子,这些分子无法使网络正确调节其输出分子,例如转录因子。信号传导的这种中断会中断正常的细胞功能,并可能最终发展出某些病理状况。本文将信令网络的计算能力作为对此类网络的信令能力和性能的基本限制进行介绍。计算能力测量的是可计算输入的最大数量,即当网络包含一些功能失常的分子时,可以从错误的网络输出中恢复正确的功能输出值的最大输入值数量。这与常规的通信容量形成对比,传统的通信容量替代地测量可以基于错误的网络输出正确区分的输入值的最大数量。如果网络响应函数不是输入信号的一对一函数,则计算能力高于通信能力。通过明确合并导致网络故障的信令错误的影响,计算能力可提供有关网络及其故障的更多信息。这里研究了两个信令网络示例,一个是调节caspase3,另一个是调节NFkB,分析了它们的计算和通信能力。对于两个网络都观察到更高的计算能力。这一发现的生物学含义是,信令网络可能比常规通信容量度量所指定的容量更大。还研究了反馈的影响。总而言之,本文报告了有关蜂窝信令网络信令能力的新基本特征的发现。