=Paper=
{{Paper
|id=Vol-3805/ICBO-2022_paper_3333
|storemode=property
|title=Ontological Representation and Analysis of the Molecular Interactions Related to COVID-19-associated Acute Kidney Injury
|pdfUrl=https://ceur-ws.org/Vol-3805/ICBO-2022_paper_3333.pdf
|volume=Vol-3805
|authors=Ghida Arnous,Yongqun He
|dblpUrl=https://dblp.org/rec/conf/icbo/ArnousH22
}}
==Ontological Representation and Analysis of the Molecular Interactions Related to COVID-19-associated Acute Kidney Injury==
https://ceur-ws.org/Vol-3805/ICBO-2022_paper_3333.pdf
Ontological representation and analysis of the molecular
interactions related to COVID-19-associated Acute Kidney Injury
Ghida Arnous 1, and Yongqun He 1
1
University of Michigan, Ann Arbor, MI 48109, USA.
Abstract
COVID-19 is related to multiple organ injuries, and its effects on the kidneys is well
demonstrated in the literature. This study aims to expand and ontologically present knowledge
available regarding the relationship between COVID-19 and Acute Kidney Injury (AKI). To
achieve our goal, we conducted literature mining and utilized data available from the
Anatomical structures, Cell Types, Biomarkers (ASCT+B) to determine kidney biomarkers
involved in the process. We utilized BioGRID data to determine SARS-CoV-2 and host
protein/gene interactions implicated in COVID-19 associated AKI. By using the above two
resources, we found 17 biomarkers (out of 146) interacting with 14 SARS-CoV-2 viral proteins,
yielding a total of 36 interactions. In addition to ACE2 being the most significant SARS-CoV-
2 receptor and its implications being well studied, multiple other interactors are discovered and
are presented in our paper. We utilized Reactome for pathway analysis and the Coronavirus
Infectious Disease Ontology (CIDO) as a platform to represent our findings ontologically. Our
CIDO-based ontological representation will provide a systematic and computer-interpretable
logic knowledge representation of the molecular interactions related to COVID-19-associated
AKI mechanisms, leading to the uncovering of many scientific insights. The recently added
protein-protein interactions (PPIs) will further expand on the already existing knowledge
regarding COVID-19 associated AKI PPIs. Our work provides host/virus interaction
information, allowing for discovering potential targets and developing pharmacological
therapies to treat AKI in COVID-19 patients.
Keywords 1
COVID-19, Acute Kidney Injury, Ontology, CIDO, ASCT+B, Protein-protein interaction
BioGRID, Reactome
ICBO 2022, September 25-28, 2022, Ann Arbor, MI, USA.
EMAIL: Ghida.arnous@gmail.com (A. 1);
yongqunh@med.umich.edu (A. 2)
ORCID: 0000-0003-3403-3719 (A. 1); 0000-0001-9189-9661 (A.
2)
©️ 2020 Copyright for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0).
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