ML-AdVInfect: A Machine-Learning Based Adenoviral Infection Predictor.

ABSTRACT: Adenoviruses (AdVs) constitute a diverse family with many pathogenic types that infect a broad range of hosts. Understanding the pathogenesis of adenoviral infections is not only clinically relevant but also important to elucidate the potential use of AdVs as vectors in therapeutic applications. For an adenoviral infection to occur, attachment of the viral ligand to a cellular receptor on the host organism is a prerequisite and, in this sense, it is a criterion to decide whether an adenoviral infection can potentially happen. The interaction between any virus and its corresponding host organism is a specific kind of protein-protein interaction (PPI) and several experimental techniques, including high-throughput methods are being used in exploring such interactions. As a result, there has b

SUBMITTER: Karabulut OC 

PROVIDER: S-EPMC8139618 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature