PHISDetector: A Tool to Detect Diverse In Silico Phage-host Interaction Signals for Virome Studies.

ABSTRACT: Phage-microbe interactions are appealing systems to study coevolution, and have also been increasingly emphasized due to their roles in human health, disease, and the development of novel therapeutics. Phage-microbe interactions leave diverse signals in bacterial and phage genomic sequences, defined as phage-host interaction signals (PHISs), which include clustered regularly interspaced short palindromic repeats (CRISPR) targeting, prophage, and protein-protein interaction signals. In the present study, we developed a novel tool phage-host interaction signal detector (PHISDetector) to predict phage-host interactions by detecting and integrating diverse in silico PHISs, and scoring the probability of phage-host interactions using machine learning models based on PHIS features. We evaluated

SUBMITTER: Zhou F 

PROVIDER: S-EPMC9801046 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature