PHPGAT: predicting phage hosts based on multimodal heterogeneous knowledge graph with graph attention network.

ABSTRACT: Antibiotic resistance poses a significant threat to global health, making the development of alternative strategies to combat bacterial pathogens increasingly urgent. One such promising approach is the strategic use of bacteriophages (or phages) to specifically target and eradicate antibiotic-resistant bacteria. Phages, being among the most prevalent life forms on Earth, play a critical role in maintaining ecological balance by regulating bacterial communities and driving genetic diversity. Accurate prediction of phage hosts is essential for successfully applying phage therapy. However, existing prediction models may not fully encapsulate the complex dynamics of phage-host interactions in diverse microbial environments, indicating a need for improved accuracy through more sophisticated mod

SUBMITTER: Liu F 

PROVIDER: S-EPMC11745545 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature