A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks
A Nonmonotonic Logical Approach for Modelling and Revising Metabolic Networks
复制标题
用于建模和修改代谢网络的非单调逻辑方法
DOI：
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发表时间：
2009
期刊：
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通讯作者：
R. King
中科院分区：
文献类型：
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作者：
O. Ray;Ken E. Whelan;R. King
他的论文描述了一种新的基于逻辑的方法来表示和推理代谢网络。首先，它展示了如何用逻辑编程形式优雅地表示生物途径，这种逻辑编程形式能够模拟与不同细胞区室中的底物和产物的完整化学反应，并由受抑制反馈影响的同工酶或酶复合物催化。然后，它展示了一个称为XHAIL的非单调推理系统如何作为一种实用的方法，从观测数据中学习和修正这种代谢网络。初步结果描述了该方法在芳香族氨基酸生物合成的最先进模型上得到验证。
his paper describes a new logic-based approach for representing and reasoning about metabolic networks.First it shows how biological pathways can be elegantly represented in a logic programming formalism able to model full chemical reactions with substrates and products in different cell compartments, and which are catalysed by iso-enzymes or enzyme-complexes that are subject to inhibitory feedbacks.Then it shows how a nonmonotonic reasoning system called XHAIL can be used as a practical method for learning and revising such metabolic networks from observational data.Preliminary results are described in which the approach is validated on a state-of-the-art model of Aromatic Amino Acid biosynthesis.