Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning.

ABSTRACT: Pathogens causing infections, and particularly when invading the host cells, require the host cell machinery for efficient regeneration and proliferation during infection. For their life cycle, host proteins are needed and these Host Dependency Factors (HDF) may serve as therapeutic targets. Several attempts have approached screening for HDF producing large lists of potential HDF with, however, only marginal overlap. To get consistency into the data of these experimental studies, we developed a machine learning pipeline. As a case study, we used publicly available lists of experimentally derived HDF from twelve different screening studies based on gene perturbation in Drosophila melanogaster cells or in vivo upon bacterial or protozoan infection. A total of 50,334 gene featur

SUBMITTER: Aromolaran O 

PROVIDER: S-EPMC8385402 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature