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Updated: May 19, 2025

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深度学习反应框架 (DLRN) 用于时间解析数据的动态建模.

Nicolò Alagna1, Brigitta Dúzs2, Vincent Dietrich1

  • 1Institute of Human Genetics, University Medical Center, Mainz, Germany.

Communications chemistry
|May 15, 2025
PubMed
概括

一个新的深度学习框架,DLRN,从时间解析的数据快速分析复杂的化学反应动力学. 它提供动态网络,时间常数和振幅,甚至与隐藏状态相匹配或超过传统方法.

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Protein Dynamics in Living Cells01:19

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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