Helikar Tomáš, Kowal Bryan, McClenathan Sean, Bruckner Mitchell, Rowley Thaine, Madrahimov Alex, Wicks Ben, Shrestha Manish, Limbu Kahani, Rogers Jim A
Department of Mathematics, University of Nebraska at Omaha, Omaha, NE, USA.
BMC Syst Biol. 2012 Aug 7;6:96. doi: 10.1186/1752-0509-6-96.
Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding of how cells work as a whole. As such, the holistic study of biochemical pathways requires computer modeling. Due to the complexity of cells, it is not feasible for one person or group to model the cell in its entirety.
The Cell Collective is a platform that allows the world-wide scientific community to create these models collectively. Its interface enables users to build and use models without specifying any mathematical equations or computer code - addressing one of the major hurdles with computational research. In addition, this platform allows scientists to simulate and analyze the models in real-time on the web, including the ability to simulate loss/gain of function and test what-if scenarios in real time.
The Cell Collective is a web-based platform that enables laboratory scientists from across the globe to collaboratively build large-scale models of various biological processes, and simulate/analyze them in real time. In this manuscript, we show examples of its application to a large-scale model of signal transduction.
尽管生物医学研究领域在过去几十年中有了诸多新发现，但细胞的极度复杂性一直是全面理解细胞整体运作方式的重大障碍。因此，对生化途径的整体研究需要计算机建模。鉴于细胞的复杂性，由一个人或一个团队对整个细胞进行建模是不可行的。
“细胞集体”是一个允许全球科学界共同创建这些模型的平台。其界面使用户能够构建和使用模型，而无需指定任何数学方程或计算机代码——解决了计算研究的一个主要障碍。此外，该平台允许科学家在网络上实时模拟和分析模型，包括实时模拟功能丧失/获得以及测试假设情景的能力。
“细胞集体”是一个基于网络的平台，它使全球各地的实验室科学家能够协作构建各种生物过程的大规模模型，并实时进行模拟/分析。在本手稿中，我们展示了其应用于信号转导大规模模型的示例。
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