4.7 Article

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

Journal

BRIEFINGS IN BIOINFORMATICS
Volume 22, Issue 6, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bib/bbab114

Keywords

multiplex drug repurposing; multi-omics integrative analysis; COVID-19

Funding

  1. European Commission Research Executive Agency Grant BIORISE, under the Spreading Excellence, Widening Participation, Science [669026]
  2. State Scholarships Foundation (IKY) scholarship, under the Action 'Strengthening Human Resources, Education and Lifelong Learning', 2014-20
  3. European Social Fund (ESF)
  4. State Scholarships Foundation (IKY) scholarship
  5. European Union (ESF) through the Operational Program 'Human Resources Development, Education and Lifelong Learning' [MIS-5033021]
  6. European Union's Horizon 2020 European research infrastructures, `National Initiatives for Open Science in Europe -NI4OS Europe' project [857645]
  7. Ministry of Education, Science, and Technological Development of the Republic of Serbia [ON171017]
  8. [MIS-5000432]

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The SARS-CoV-2 pandemic is considered the most severe global health emergency since the 1918 Influenza outbreak and is expected to become an endemic infectious respiratory disease with seasonal flare-ups. While efforts are being made to develop a vaccine, it is equally important to find effective prevention and treatment options for COVID-19. Developing a multiplex drug repurposing approach based on multi-omics data could offer a rapid mapping and prioritization of drugs against any pathogen-related disease.
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.

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