Decoding information on COVID–19: Ontological approach towards design possible therapeutics

Swaminathan K. Jayachandran, Muthuswamy Anusuyadevi, Musthafa Mohamed Essa*, M. Walid Qoronfleh

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)


To date, no effective preventive or curative medical interventions exist against COVID-19, caused by Severe Acute Respiratory Syndrome corona virus 2 (SARS CoV-2). The available interventions are only supportive and palliative in nature. Popular among the emerging explanations for the mortality from COVID-19 is “cytokine storm”, attributed to the body's aggressive immune response to this novel pathogen. In less than a year the disease has spread to almost all countries, though the mortality rates have varied significantly from country to country based on factors such as the demographical mix of the population, prevalence of comorbidities, as well as prior exposure to viruses from the corona family. This review examines the current literature on mortality rates across the globe, explores the possible reasons, thereby decoding variations. COVID-19 researchers have noted unique characteristics in the structural and host-pathogen interaction and identified several possible target proteins and sites that could exhibit control over the entry of SARS CoV-2 into the host, which this paper reviews in detail. Identification of new targets, both in the virus and the host, may accelerate the search for effective vaccines and curative drugs against COVID-19. Further, the ontological approach of this review is likely to provide insights for researchers to anticipate and be ready for future mutant viruses that may emerge in future.

Original languageEnglish
Article number100486
JournalInformatics in Medicine Unlocked
Publication statusPublished - Jan 2021
Externally publishedYes


  • Antiviral
  • Covid-19
  • Decoding
  • Drug repurposing
  • Mortality rate
  • Ontology
  • Therapy
  • Vaccine

ASJC Scopus subject areas

  • Health Informatics


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