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Reverse Inference in Symbolic Systems Biology

机译:符号系统生物学中的反向推断

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摘要

Cell dynamics is intrinsically concurrent, since many different biochemical reactions might take place simultaneously in a cell. Productive symbolic mathematical models of cell biology can be developed by modeling such biochemical reactions with rewrite rules. Analyses and predictions of biological facts can be obtained from such models. The authors have previously published several approaches for searching along cellular signaling networks. In this paper, we introduce a novel reverse inference system by applying narrowing techniques. Moreover, we propose a new general architecture which allows an extendible set of tools for direct and reverse inference by using rewriting logic.
机译:细胞动力学本质上同时,由于许多不同的生物化学反应可能在细胞中同时进行。通过使用重写规则建模这种生化反应来开发细胞生物学的生产性象征数学模型。可以从这些模型中获得生物事实的分析和预测。作者以前发布了几种用于沿着蜂窝信令网络搜索的方法。在本文中,我们通过施加缩小技术介绍一种新型反向推理系统。此外,我们提出了一种新的一般架构,它允许使用重写逻辑直接和反向推断的可扩展的一组工具集。

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