Sanford Chris, Yip Matthew L K, White Carl, Parkinson John
Hospital for Sick Children, 555 University Avenue Toronto, ON, M5G 1X8, Canada.
Bioinformatics. 2006 Dec 1;22(23):2918-25. doi: 10.1093/bioinformatics/btl497. Epub 2006 Oct 11.
With the generation of a wealth of information, detailing cellular components, their functions and interactions, there is a growing need for the development of new computational tools capable of interpreting these data within spatial and dynamic contexts. Here, we introduce Cell++, a novel stochastic simulation environment with the capacity to study a wide variety of biochemical processes within a spatial context.
Focusing on three case studies, we highlight the potential impact of spatial organization in the evolution and engineering of signaling and metabolic pathways. In addition to altering signaling and metabolic efficiency, simulations also demonstrated features consistent with the phenomenon of metabolic channeling.
Cell++ is licensed under the GNU general public license (GPL) and has been successfully implemented under Linux and IRIX operating systems. Source code together with a simple tutorial is available at http://www.compsysbio.org/CellSim/.
随着大量详细描述细胞成分、其功能及相互作用的信息不断产生,对于开发能够在空间和动态背景下解读这些数据的新计算工具的需求日益增长。在此,我们介绍Cell++,这是一种新型随机模拟环境,有能力在空间背景下研究多种生化过程。
聚焦于三个案例研究,我们突出了空间组织在信号传导和代谢途径的进化及工程设计中的潜在影响。除了改变信号传导和代谢效率外,模拟还展示了与代谢通道化现象相符的特征。
Cell++根据GNU通用公共许可证(GPL)授权,已在Linux和IRIX操作系统下成功实现。源代码及简单教程可在http://www.compsysbio.org/CellSim/获取。