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Updated: May 13, 2026

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SEP-AlgPro:一个高效的过敏原预测工具,利用传统的机器学习和深度学习技术与蛋白质语言模型功能

Shaherin Basith1, Nhat Truong Pham2, Balachandran Manavalan2

  • 1Department of Physiology, Ajou University School of Medicine, Suwon 16499, Republic of Korea.

International journal of biological macromolecules
|June 13, 2024
PubMed
概括

SEP-AlgPro使用先进的蛋白质语言模型和机器学习准确识别过敏原蛋白质. 这种新的方法超越了现有的方法,为过敏研究和诊断提供了强大的工具.

关键词:
过敏原是一种过敏原.深度神经网络是一个神经网络.机器学习是机器学习.序列分析是指进行序列分析.堆叠的框架 堆叠的框架

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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...