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Updated: Jul 5, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
00:06

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使用基于蛋白质结构的深度学习-Ramachandran图谱-分子动力学模拟方法对MLH1错误VUS的分类

Benjamin Tam1,2,3, Zixin Qin1,2,3, Bojin Zhao1,2,3

  • 1Ministry of Education Frontiers Science Center for Precision Oncology, Faculty of Health Sciences, University of Macau, Macau SAR, China.

International journal of molecular sciences
|January 23, 2024
PubMed
概括

一种新的计算方法,深度学习-Ramachandran图谱-分子动力学模拟 (DL-RP-MDS),有效地预测有害的MLH1基因变异. 这有助于对具有不确定的意义变异的个体进行林奇综合征风险评估.

关键词:
MLH1 一个问题拉玛查德兰地图 拉玛查德兰地图这就是VUS VUS VUS.自动编码器自动编码器深度学习是一种深度学习.分子动力学模拟模拟神经网络的神经网络的神经网络

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