DeepPBI-KG: a deep learning method for the prediction of phage-bacteria interactions based on key genes.

ABSTRACT: Phages, the natural predators of bacteria, were discovered more than 100 years ago. However, increasing antimicrobial resistance rates have revitalized phage research. Methods that are more time-consuming and efficient than wet-laboratory experiments are needed to help screen phages quickly for therapeutic use. Traditional computational methods usually ignore the fact that phage-bacteria interactions are achieved by key genes and proteins. Methods for intraspecific prediction are rare since almost all existing methods consider only interactions at the species and genus levels. Moreover, most strains in existing databases contain only partial genome information because whole-genome information for species is difficult to obtain. Here, we propose a new approach for interaction prediction by

SUBMITTER: Wei T 

PROVIDER: S-EPMC11440089 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature