Cross-attention PHV: Prediction of human and virus protein-protein interactions using cross-attention-based neural networks.

ABSTRACT: Viral infections represent a major health concern worldwide. The alarming rate at which SARS-CoV-2 spreads, for example, led to a worldwide pandemic. Viruses incorporate genetic material into the host genome to hijack host cell functions such as the cell cycle and apoptosis. In these viral processes, protein-protein interactions (PPIs) play critical roles. Therefore, the identification of PPIs between humans and viruses is crucial for understanding the infection mechanism and host immune responses to viral infections and for discovering effective drugs. Experimental methods including mass spectrometry-based proteomics and yeast two-hybrid assays are widely used to identify human-virus PPIs, but these experimental methods are time-consuming, expensive, and laborious. To overcome this proble

SUBMITTER: Tsukiyama S 

PROVIDER: S-EPMC9546503 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature