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Updated: Jun 26, 2025

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

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使用基于序列的共同进化,网络分析和机器学习来预测致病单核酸变体的热点

Wenjun Zheng1

  • 1Department of Physics, State University of New York at Buffalo, Buffalo, NY, United States of America.

PloS one
|May 14, 2024
PubMed
概括

预测引起疾病的蛋白质突变对于个性化医学至关重要. 这项研究引入了一种新的基于序列的方法,使用蛋白质残留接触网络和机器学习来准确识别突变热点.

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