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Updated: Jun 3, 2025

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry
12:49

Quantification of Site-specific Protein Lysine Acetylation and Succinylation Stoichiometry Using Data-independent Acquisition Mass Spectrometry

Published on: April 4, 2018

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整合CNN和Bi-LSTM用于基于自然语言处理技术的蛋白质化位预测

Thi-Xuan Tran1, Nguyen Quoc Khanh Le2, Van-Nui Nguyen3

  • 1Thai Nguyen University of Economics and Business Administration, Thai Nguyen City, Viet Nam.

Computers in biology and medicine
|January 11, 2025
PubMed
概括

我们开发了CbiLSuccSite,这是一个新的计算工具,使用深度学习来预测蛋白质化位点. 这种方法准确地识别了木化,有助于疾病研究和克服实验限制.

关键词:
双向长时间短期记忆 (Bi-LSTM)卷积神经网络 (CNN) 是一种神经网络.自然语言处理 (NLP) 是一种自然语言处理.糖化 (Succinylation) 是一种作用.字体嵌入 字体嵌入.

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