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Updated: Jul 19, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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Published on: August 20, 2019

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用深度蛋白质语言模型对疾病变异效应的全基因组预测

Nadav Brandes1, Grant Goldman2, Charlotte H Wang3

  • 1Division of Rheumatology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.

Nature genetics
|August 10, 2023
PubMed
概括

像ESM1b这样的蛋白质语言模型现在可以预测所有人类误解变体的影响,克服了以前方法的局限性. 这一进步为了解遗传变异和疾病提供了一个强大的新工具.

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