PHEVIR: an artificial intelligence algorithm that predicts the molecular role of pathogens in complex human diseases.

ABSTRACT: Infectious diseases are known to cause a wide variety of post-infection complications. However, it's been challenging to identify which diseases are most associated with a given pathogen infection. Using the recently developed LeMeDISCO approach that predicts comorbid diseases associated with a given set of putative mode of action (MOA) proteins and pathogen-human protein interactomes, we developed PHEVIR, an algorithm which predicts the corresponding human disease comorbidities of 312 viruses and 57 bacteria. These predictions provide an understanding of the molecular bases of complications and means of identifying appropriate drug targets to treat them. As an illustration of its power, PHEVIR is applied to identify putative driver pathogens and corresponding human MOA proteins for Type 2

SUBMITTER: Zhou H 

PROVIDER: S-EPMC9719543 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature