Finding your inner modeler: An NSF-sponsored workshop to introduce cell biologists to modeling/computational approaches.
Finding your inner modeler: An NSF-sponsored workshop to introduce cell biologists to modeling/computational approaches.
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寻找你的内在建模者：由 NSF 赞助的研讨会，向细胞生物学家介绍建模/计算方法。
DOI：
10.1080/21592799.2017.1382669
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Sztul,Elizabeth
中科院分区：
文献类型：
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作者：
Stone,DavidE;Haswell,ElizabethS;Sztul,Elizabeth
在经典细胞生物学中，基本的细胞过程是通过经验来揭示的，一次一个实验。虽然这种方法取得了巨大的成果，但我们对细胞的了解还远未完成。事实上，我们知道得越多，我们就越敏锐地意识到我们对构成细胞结构和功能的极其复杂和动态的分子系统的无知。因此，许多细胞生物学家已经清楚地意识到，仅凭实验不可能产生重大的新范式，经验主义必须与理论和计算方法相结合才能产生重大的新发现。为了促进这些发现，三个研讨会将在连续三个夏天（2017-2019）每年召开一次，为期一天，以促进目前不相信计算模型的实用性或不确定如何应用它的细胞生物学家对计算模型的使用。第一个研讨会于 2017 年 7 月在芝加哥伊利诺伊大学举行。其组织目的是促进传统细胞生物学家和计算建模者之间的互动，它提供了一个独特的教育机会：了解很少或没有相关经验的细胞生物学家如何将计算建模纳入他们的研究。在这里，我们报告研讨会并描述它如何解决细胞生物学家在考虑建模时面临的关键问题，包括：（1）我的项目适合建模吗？ (2) 我需要什么样的数据来建模我的流程？ (3) 如何找到建模师来帮助我将建模方法融入到我的工作中？而且，也许最重要的是，（4）我为什么要费心？
In classical Cell Biology, fundamental cellular processes are revealed empirically, one experiment at a time. While this approach has been enormously fruitful, our understanding of cells is far from complete. In fact, the more we know, the more keenly we perceive our ignorance of the profoundly complex and dynamic molecular systems that underlie cell structure and function. Thus, it has become apparent to many cell biologists that experimentation alone is unlikely to yield major new paradigms, and that empiricism must be combined with theory and computational approaches to yield major new discoveries. To facilitate those discoveries, three workshops will convene annually for one day in three successive summers (2017–2019) to promote the use of computational modeling by cell biologists currently unconvinced of its utility or unsure how to apply it. The first of these workshops was held at the University of Illinois, Chicago in July 2017. Organized to facilitate interactions between traditional cell biologists and computational modelers, it provided a unique educational opportunity: a primer on how cell biologists with little or no relevant experience can incorporate computational modeling into their research. Here, we report on the workshop and describe how it addressed key issues that cell biologists face when considering modeling including: (1) Is my project appropriate for modeling? (2) What kind of data do I need to model my process? (3) How do I find a modeler to help me in integrating modeling approaches into my work? And, perhaps most importantly, (4) why should I bother?