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Reasoning about Triggered Actions in AnsProlog and Its Application to Molecular Interactions in Cells

机译:AnsProlog中触发动作的推理及其在细胞分子相互作用中的应用

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Reasoning about molecular interactions and signaling pathways is important from various perspectives such as predicting side effects of drugs, explaining unusual cellular behavior and drug and therapy design. Because of the vast size of these interactions a typical biologist can only focus on a very small part of the network. Thus there is a great need to develop knowledge representation and reasoning formalisms and their implementations for modelling and reasoning about molecular interactions in cells of organisms. An important component of these interactions is the action of one molecule interacting with or binding to another, or one molecule separating into multiple other molecules. Thus, action theories and action languages are good candidates to model these interactions. One major lacking of most existing action languages is the notion of triggered actions, which is a common phenomena in the cellular domain. In this paper, we introduce a language for representing and reasoning about triggered actions, and show how to model reasoning about side effects, explaining observations, and designing drugs in our language through implementations using AnsProlog.
机译:从各种角度进行分子相互作用和信号传导途径的推理非常重要,例如预测药物的副作用,解释异常的细胞行为以及药物和治疗设计。由于这些相互作用的规模很大,典型的生物学家只能专注于网络的一小部分。因此,迫切需要开发知识表示和推理形式主义及其实现,以对生物体细胞中的分子相互作用进行建模和推理。这些相互作用的重要组成部分是一个分子与另一种分子相互作用或结合的作用,或者一个分子分离成多个其他分子的作用。因此,动作理论和动作语言是对这些交互进行建模的良好候选者。大多数现有动作语言的主要缺乏之处在于触发动作的概念,这是蜂窝领域中的常见现象。在本文中,我们介绍了一种用于表示和推理触发动作的语言,并展示了如何通过AnsProlog的实现用我们的语言来建模关于副作用的推理,解释观察结果和设计药物。

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