Multi-omics data integration and network-based analysis drives a multiplex drug repurposing approach to a shortlist of candidate drugs against COVID-19

Author:

Tomazou Marios123,Bourdakou Marilena M14,Minadakis George12,Zachariou Margarita12,Oulas Anastasis12,Karatzas Evangelos15,Loizidou Eleni M15,Kakouri Andrea C123,Christodoulou Christiana C126,Savva Kyriaki12,Zanti Maria127,Onisiforou Anna12,Afxenti Sotiroula128,Richter Jan92,Christodoulou Christina G92,Kyprianou Theodoros1011,Kolios George4,Dietis Nikolas12,Spyrou George M12

Affiliation:

1. Bioinformatics Department, The Cyprus Institute of Neurology and Genetics, Cyprus

2. The Cyprus School of Molecular Medicine, Cyprus

3. Neurogenetics Department, The Cyprus Institute of Neurology and Genetics, Cyprus

4. Laboratory of Pharmacology, Faculty of Medicine, Democritus University of Thrace, Greece

5. Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece

6. Neuroepidemiology Department, The Cyprus Institute of Neurology and Genetics, Cyprus

7. Cancer Genetics, Therapeutics … Ultrastructural Pathology, The Cyprus Institute of Neurology and Genetics, Cyprus

8. Neuroimmunology Department, The Cyprus Institute of Neurology and Genetics, Cyprus

9. Department of Molecular Virology, The Cyprus Institute of Neurology and Genetics, Cyprus

10. Medical School, University of Nicosia, Cyprus

11. University Hospitals Bristol and Weston NHS Foundation Trust, United Kingdom

12. Experimental Pharmacology Laboratory, Medical School, University of Cyprus, Cyprus

Abstract

Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is undeniably the most severe global health emergency since the 1918 Influenza outbreak. Depending on its evolutionary trajectory, the virus is expected to establish itself as an endemic infectious respiratory disease exhibiting seasonal flare-ups. Therefore, despite the unprecedented rally to reach a vaccine that can offer widespread immunization, it is equally important to reach effective prevention and treatment regimens for coronavirus disease 2019 (COVID-19). Contributing to this effort, we have curated and analyzed multi-source and multi-omics publicly available data from patients, cell lines and databases in order to fuel a multiplex computational drug repurposing approach. We devised a network-based integration of multi-omic data to prioritize the most important genes related to COVID-19 and subsequently re-rank the identified candidate drugs. Our approach resulted in a highly informed integrated drug shortlist by combining structural diversity filtering along with experts’ curation and drug–target mapping on the depicted molecular pathways. In addition to the recently proposed drugs that are already generating promising results such as dexamethasone and remdesivir, our list includes inhibitors of Src tyrosine kinase (bosutinib, dasatinib, cytarabine and saracatinib), which appear to be involved in multiple COVID-19 pathophysiological mechanisms. In addition, we highlight specific immunomodulators and anti-inflammatory drugs like dactolisib and methotrexate and inhibitors of histone deacetylase like hydroquinone and vorinostat with potential beneficial effects in their mechanisms of action. Overall, this multiplex drug repurposing approach, developed and utilized herein specifically for SARS-CoV-2, can offer a rapid mapping and drug prioritization against any pathogen-related disease.

Funder

European Commission Research Executive Agency

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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