Human papillomavirus (HPV) causes disease through complex interactions between viral and host proteins, with the PI3K signaling pathway playing a key role. Proteins like AKT, IQGAP1, and MMP16 are involved in HPV-related cancer development. Traditional methods for studying protein-protein interactions (PPIs) are labor-intensive and time-consuming. Computational models are becoming more popular as they are less labor-intensive and often more efficient. This study aimed to develop a deep learning model to predict interactions between HPV and host proteins.

Sheila Santa

Samuel Kojo Kwofie

Kwasi Agyenkwa-Mawuli

Osbourne Quaye

Charles A Brown

Emmanuel A Tagoe

Bioinformatics and Biology Insights

An open access, peer reviewed electronic journal that covers computational biology, particularly computational methods used in the analysis and annotation of structures.

Bioinformatics and Biology Insights is an open access, peer-reviewed electronic journal that focuses on computational biology, particularly the computational methods used for the analysis and annotation of biological structures.

《Bioinformatics and Biology Insights》是一本开放获取、经过同行评审的电子期刊，专注于计算生物学，尤其是用于结构分析和注释的计算方法。

Prediction of Human Papillomavirus-Host Oncoprotein Interactions Using Deep Learning

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Journal Info

Category	Quartile
BIOCHEMICAL RESEARCH METHODS	3