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用于体内成像的动力学建模方法。

Kinetic modelling approaches to in vivo imaging.

作者信息

Phair R D, Misteli T

机构信息

BioInformatics Services, Rockville, Maryland 20854, USA.

出版信息

Nat Rev Mol Cell Biol. 2001 Dec;2(12):898-907. doi: 10.1038/35103000.

Abstract

The ability to visualize protein dynamics and biological processes by in vivo microscopy is revolutionizing many areas of biology. These methods generate large, kinetically complex data sets, which often cannot be intuitively interpreted. The combination of dynamic imaging and computational modelling is emerging as a powerful tool for the quantitation of biophysical properties of molecules and processes. The new discipline of computational cell biology will be essential in uncovering the pathways, mechanisms and controls of biological processes and systems as they occur in vivo.

摘要

通过体内显微镜观察蛋白质动力学和生物过程的能力正在彻底改变生物学的许多领域。这些方法产生了大量动力学复杂的数据集,这些数据集往往无法直观地解读。动态成像与计算建模相结合正成为定量分析分子和过程生物物理特性的有力工具。计算细胞生物学这一新学科对于揭示生物过程和系统在体内发生时的途径、机制和调控至关重要。

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