Publication: mimicINT: a workflow for microbe-host protein interaction inference

Publié dans: 2023

Auteurs: Sébastien A Choteau, Marceau Cristianini, Kevin Maldonado, Lilian Drets, Mégane Boujeant, Christine Brun, Lionel Spinelli, Andreas Zanzoni

Résumé

The increasing incidence of emerging infectious diseases is posing serious global threats. Therefore, there is a clear need for developing computational methods that can assist and speed-up experimental research to better characterize the molecular mechanisms of microbial infections. In this context, we developed mimicINT, a freely available computational workflow for large-scale protein-protein interaction inference between microbe and human by detecting putative molecular mimicry elements that can mediate the interaction with host proteins: short linear motifs (SLiMs) and hostlike globular domains. mimicINT exploits these putative elements to infer the interaction with human proteins by using known templates of domain-domain and SLiM-domain interaction templates. mimicINT provides (i) robust Monte-Carlo simulations to assess the statistical significance of SLiM detection which suffers from .

Lien vers HAL – hal-04240079

Lien vers le DOI – 10.1101/2022.11.04.515250