Virus-host interactions predictor (VHIP): Machine learning approach to resolve microbial virus-host interaction networks.

ABSTRACT: Viruses of microbes are ubiquitous biological entities that reprogram their hosts' metabolisms during infection in order to produce viral progeny, impacting the ecology and evolution of microbiomes with broad implications for human and environmental health. Advances in genome sequencing have led to the discovery of millions of novel viruses and an appreciation for the great diversity of viruses on Earth. Yet, with knowledge of only "who is there?" we fall short in our ability to infer the impacts of viruses on microbes at population, community, and ecosystem-scales. To do this, we need a more explicit understanding "who do they infect?" Here, we developed a novel machine learning model (ML), Virus-Host Interaction Predictor (VHIP), to predict virus-host interactions (infection/non-infectio

SUBMITTER: Bastien GE 

PROVIDER: S-EPMC11441702 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature