Generating Systems Biology Markup Language Models from the Synthetic Biology Open Language

被引:20
作者
Roehner, Nicholas [1 ]
Zhang, Zhen [2 ]
Nguyen, Tramy [2 ]
Myers, Chris J. [2 ]
机构
[1] Univ Utah, Dept Bioengn, Salt Lake City, UT 84112 USA
[2] Univ Utah, Dept Elect & Comp Engn, Salt Lake City, UT 84112 USA
来源
ACS SYNTHETIC BIOLOGY | 2015年 / 4卷 / 08期
基金
美国国家科学基金会;
关键词
SBOL; SBML; standards; modeling genetic design automation; DESIGN; METHODOLOGY; SELECTION; STANDARD; KINETICS; TOOL;
D O I
10.1021/sb5003289
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
In the context of synthetic biology, model generation is the automated process of constructing biochemical models based on genetic designs. This paper discusses the use cases for model generation in genetic design automation (GDA) software tools and introduces the foundational concepts of standards and model annotation that make this process useful. Finally, this paper presents an implementation of model generation in the GDA software tool iBioSim and provides an example of generating a Systems Biology Markup Language (SBML) model from a design of a 4-input AND sensor written in the Synthetic Biology (SBOL).
引用
收藏
页码:873 / 879
页数:7
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