The quantity and complexity of data being generated and published in biology has increased substantially, but few methods exist for capturing knowledge about phenotypes derived from molecular interactions between diverse groups of species, in such a way that is amenable to data-driven biology and research. To improve access to this knowledge, we have constructed a framework for the curation of the scientific literature studying interspecies interactions, using data curated for the Pathogen-Host Interactions Database (PHI-base) as a case study. The framework provides a curation tool, phenotype ontology and controlled vocabularies to curate pathogen-host interaction data (at the level of the host, pathogen, strain, gene and genotype). The concept of a multispecies genotype, the 'metagenotype', is introduced to facilitate capturing changes in the pathogens' disease-causing abilities, and host resistance or susceptibility observed by gene alterations. We report on this framework and describe PHI-Canto, a community curation tool for use by publication authors.
scite is a Brooklyn-based startup that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
334 Leonard St
Brooklyn, NY 11211
Copyright © 2023 scite Inc. All rights reserved.
Made with 💙 for researchers