Ontological representation and analysis of the molecular interactions related to COVID-19-associted Acute Kidney Injury – UROP Summer Symposium 2022

Ontological representation and analysis of the molecular interactions related to COVID-19-associted Acute Kidney Injury

Ghida Arnous

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Research Mentor(s):
Research Mentor School/College/Department: Department of Microbiology and Immunology
Presentation Date: 08/03/2022
Presentation Type: Poster
Poster Number: 54
Session: Session II: 1:30 – 2:20pm
Room: League Ballroom
Authors: Ghida Arnous, Yongqun He

Abstract

COVID-19 is related to multiple organ injuries, and its effects on the kidneys is well demonstrated in the literature. This paper 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 ASCT+B to determine proteins and kidney biomarkers involved in the process. We also 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 human proteins interacting with 14 viral proteins. In addition to ACE2 being the most significant SARS-CoV-2 receptor and its implications on the Renin-Angiotensin System being well studied, multiple other interactors are discovered and are presented in our paper. Further analysis is undergoing to discover deep molecular host-viral protein-protein interaction mechanisms. We used DAVID for functional analysis and the Coronavirus Infectious Disease Ontology (CIDO) as a platform to represent our findings ontologically. Our CIDO-based ontological representation provides 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. Furthermore, our work provides host/virus molecule-drug interaction information, allowing for discovering potential targets and developing pharmacological therapies to treat AKI in COVID-19 patients.

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