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Updated: May 24, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay EMSA and DNA-affinity Precipitation Assay DAPA
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解码错误的变体通过整合阶段分离通过机器学习解码错误的变体

Mofan Feng1,2, Xiaoxi Wei1, Xi Zheng1,2

  • 1Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University, Shanghai, China.

Nature communications
|September 27, 2024
PubMed
概括

我们开发了PSMutPred,这是一种机器学习工具,可以预测误解突变如何影响蛋白质相分离,有助于解释内在无序区域 (IDR) 中不确定的意义 (VUS) 的变异. 这有助于我们更好地理解疾病的发病因子.

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