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PSFC:一款用于Cytoscape的通路信号流计算应用程序

PSFC: a Pathway Signal Flow Calculator App for Cytoscape.

作者信息

Nersisyan Lilit, Johnson Graham, Riel-Mehan Megan, Pico Alexander, Arakelyan Arsen

机构信息

Institute of Molecular Biology NAS RA, Yerevan, Armenia.

University of California, San Francisco, CA, 94158, USA.

出版信息

F1000Res. 2015 Aug 5;4:480. doi: 10.12688/f1000research.6706.2. eCollection 2015.

Abstract

Cell signaling pathways are sequences of biochemical reactions that propagate an input signal, such as a hormone binding to a cell-surface receptor, into the cell to trigger a reactive process. Assessment of pathway activities is crucial for determining which pathways play roles in disease versus normal conditions. To date various pathway flow/perturbation assessment tools are available, however they are constrained to specific algorithms and specific data types. There are no accepted standards for evaluation of pathway activities or simulation of flow propagation events in pathways, and the results of different software are difficult to compare. Here we present Pathway Signal Flow Calculator (PSFC), a Cytoscape app for calculation of a pathway signal flow based on the pathway topology and node input data. The app provides a rich framework for customization of different signal flow algorithms to allow users to apply various approaches within a single computational framework.

摘要

细胞信号通路是一系列生化反应序列,它将诸如激素与细胞表面受体结合这样的输入信号传递到细胞内,以触发反应过程。评估通路活性对于确定哪些通路在疾病状态与正常状态中发挥作用至关重要。迄今为止,有各种通路流/扰动评估工具可用,然而它们局限于特定算法和特定数据类型。目前尚无评估通路活性或模拟通路中流传播事件的公认标准,并且不同软件的结果难以比较。在此,我们展示通路信号流计算器(PSFC),这是一款Cytoscape应用程序,用于基于通路拓扑结构和节点输入数据计算通路信号流。该应用程序提供了一个丰富的框架,用于定制不同的信号流算法,以便用户能够在单个计算框架内应用各种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7c9/5381625/a78d28162b27/f1000research-4-12210-g0000.jpg

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