计算机应用与软件2024，Vol.41Issue(6)：55-61,7.DOI:10.3969/j.issn.1000-386x.2024.06.009
基于注意力机制的蛋白质残基相互作用预测方法
PROTEIN RESIDUE INTERACTION PREDICTION METHOD BASED ON ATTENTION MECHANISM
摘要
Abstract
Protein residue interaction prediction plays an important role in constructing protein tertiary structure,and many prediction methods based on deep learning have been proposed.The interaction of the residue pairs is not only determined by the characteristics of the residue pairs themselves,but also affected by all other residue pairs.However,the convolutional neural networks used in most depth models pay more attention to the extraction of local features,while ignoring the global factors of the residue pair interaction.To solve this problem,a prediction model based on attention mechanism is proposed,which can take into account both local and global properties of residue pairs.Experimental results show that the proposed model outperforms other models.关键词
蛋白质/残基相互作用/注意力机制/深度学习Key words
Protein/Residue interaction/Attention mechanism/Deep learning分类
信息技术与安全科学引用本文复制引用
何如吉,权丽君,吕强..基于注意力机制的蛋白质残基相互作用预测方法[J].计算机应用与软件,2024,41(6):55-61,7.基金项目
国家自然科学基金项目(31801108) （31801108）
"苏州大学江苏省计算机信息处理重点实验室"开放课题(KJS1843) （KJS1843）
江苏高校优势学科建设工程资助项目. （）
