Homeostasis imbalance process ontology: a study on COVID-19 infectious processes
Yuki Yamagata, Tatsuya Kushida, Shuichi Onami, Hiroshi Masuya
TL;DR
This paper introduces a framework called HoIP to better understand and describe the complex processes of COVID-19 infection and its symptoms.
Contribution
The novel contribution is the development of the homeostasis imbalance process ontology (HoIP) for modeling COVID-19 infectious processes.
Findings
HoIP provides a unified framework for describing causal relationships in COVID-19 from early infection to severe symptoms.
The imbalance model helps distinguish viral demands from immune responses, aiding drug development and risk identification.
HoIP improves interoperability of heterogeneous knowledge about COVID-19 through standardized descriptions.
Abstract
One significant challenge in addressing the coronavirus disease 2019 (COVID-19) pandemic is to grasp a comprehensive picture of its infectious mechanisms. We urgently need a consistent framework to capture the intricacies of its complicated viral infectious processes and diverse symptoms. We systematized COVID-19 infectious processes through an ontological approach and provided a unified description framework of causal relationships from the early infectious stage to severe clinical manifestations based on the homeostasis imbalance process ontology (HoIP). HoIP covers a broad range of processes in the body, ranging from normal to abnormal. Moreover, our imbalance model enabled us to distinguish viral functional demands from immune defense processes, thereby supporting the development of new drugs, and our research demonstrates how ontological reasoning contributes to the identification…
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Bioinformatics and Genomic Networks · Genomics and Rare Diseases