An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning with Multi-Head Attention Mechanism

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成果类型：

期刊论文

作者：

Wang, Yue;Sun, Han;Wang, Haodong;Li, Dandan;Zhao, Weizhong*;...

通讯作者：

Zhao, Weizhong;Shen, XJ

作者机构：

[Shen, Xianjun; Wang, Haodong; Wang, Yue; Zhao, Weizhong; Zhao, WZ; Shen, XJ; Jiang, Xingpeng; Li, Dandan] Cent China Normal Univ, Sch Comp, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan 430079, Peoples R China.

[Sun, Han] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.

[Shen, Xianjun; Wang, Haodong; Wang, Yue; Zhao, Weizhong; Zhao, WZ; Shen, XJ; Jiang, Xingpeng; Li, Dandan] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan 430079, Peoples R China.

通讯机构：

[Zhao, WZ; Shen, XJ ] C

Cent China Normal Univ, Sch Comp, Hubei Prov Key Lab Artificial Intelligence & Smart, Wuhan 430079, Peoples R China.

Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netwo, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

graph representation learning;heterogeneous information network;multi-head attention mechanism;Phage-host interactions prediction

期刊：

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

ISSN：

2168-2194

年：

2023

卷：

期：

页码：

3061-3071

DOI：

10.1109/JBHI.2023.3261319

基金类别：

The work was supported in part by the National Natural Science Foundation of China under Grant 61932008, in part by the Natural Science Foundation of Hubei Province of China under Grant 2022CFB289, in part by the Fundamental Research Funds for Central Universities under Grant KJ02502022-0450, and in part by the Scientific Research Center Program of National Language Commission under Grant ZDI135-135.

机构署名：

本校为第一且通讯机构

院系归属：

数学与统计学学院

计算机学院

摘要：

In the treatment of bacterial infectious diseases, overuse of antibiotics may lead to not only bacterial resistance to antibiotics but also dysbiosis of beneficial bacteria which are essential for maintaining normal human life activities. Instead, phage therapy, which invades and lyses specific pathogenic bacteria without affecting beneficial bacteria, becomes more and more popular to treat bacterial infectious diseases. For the effective phage therapy, it requires to accurately predict potential phage-host interactions from heterogeneous information network consisting of bacteria and phages. ...

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An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning with Multi-Head Attention Mechanism

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