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Updated: Jun 30, 2025

Identification of Protein Complexes in Escherichia coli using Sequential Peptide Affinity Purification in Combination with Tandem Mass Spectrometry
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EPI-SF:使用序列特征在蛋白相互作用网络中识别基本蛋白质

Sovan Saha1, Piyali Chatterjee2, Subhadip Basu3

  • 1Department of Computer Science & Engineering (Artificial Intelligence & Machine Learning), Techno Main Salt Lake, Kolkata, West Bengal, India.

PeerJ
|March 18, 2024
PubMed
概括

本研究介绍了EPI-SF,这是一种机器学习方法,使用蛋白质序列特征识别基本蛋白质. 随机森林模型在预测酵母和人体网络中的必需蛋白质方面表现出卓越的表现,优于现有方法.

关键词:
在 COVID-19 疫情中,重要的蛋白质是必不可少的.人类 人类 人类 人类 人类机器学习是机器学习.蛋白质与蛋白质相互作用网络.序列的特征是序列的特征.酵母酵母是一种酵母.

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