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Updated: Mar 15, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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ET-Pfam: 组合转移学习用于蛋白质家族预测

Sofia A Duarte1, Rosario Vitale1, Sofia Escudero1

  • 1Research Institute for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL, CONICET, Ciudad Universitaria UNL, Santa Fe, 3000, Argentina.

Bioinformatics (Oxford, England)
|March 14, 2026
PubMed
概括

ET-Pfam使用转移学习和深度学习 (DL) 模型组合来改善Pfam数据库中的蛋白质功能家族注释. 与单个DL模型和最先进的方法相比,这种新的方法显著降低了错误率.

关键词:
普法姆 (Pfamfam) 是一个家庭.组合学习组合学习预测 预测 预测 预测蛋白质家族是一种蛋白质家族.转移学习转移学习

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