文章基本信息

标题：An Intuitive Automated Modelling Interface for Systems Biology
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作者：Ozan Kahramanoğulları ; Luca Cardelli ; Emmanuelle Caron 等
期刊名称：Electronic Proceedings in Theoretical Computer Science
电子版ISSN：2075-2180
出版年度：2009
卷号：9
页码：73-86
DOI：10.4204/EPTCS.9.9
出版社：Open Publishing Association
摘要：We introduce a natural language interface for building stochastic pi calculus models of biological systems. In this language, complex constructs describing biochemical events are built from basic primitives of association, dissociation and transformation. This language thus allows us to model biochemical systems modularly by describing their dynamics in a narrative-style language, while making amendments, refinements and extensions on the models easy. We demonstrate the language on a model of Fc-gamma receptor phosphorylation during phagocytosis. We provide a tool implementation of the translation into a stochastic pi calculus language, Microsoft Research's SPiM.