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The Anatomy of the SARS-CoV-2 Biomedical Literature: Introducing the CovidX Network Algorithm for Drug Repurposing Recommendation.
Gates, Lyndsey Elaine; Hamed, Ahmed Abdeen.
  • Gates LE; School of Nursing, Norwich University, Northfield, VT, United States.
  • Hamed AA; School of Cybersecurity, Data Science, and Computing, Norwich University, Northfield, VT, United States.
J Med Internet Res ; 22(8): e21169, 2020 08 20.
Article in English | MEDLINE | ID: covidwho-690513
ABSTRACT

BACKGROUND:

Driven by the COVID-19 pandemic and the dire need to discover an antiviral drug, we explored the landscape of the SARS-CoV-2 biomedical publications to identify potential treatments.

OBJECTIVE:

The aims of this study are to identify off-label drugs that may have benefits for the coronavirus disease pandemic, present a novel ranking algorithm called CovidX to recommend existing drugs for potential repurposing, and validate the literature-based outcome with drug knowledge available in clinical trials.

METHODS:

To achieve such objectives, we applied natural language processing techniques to identify drugs and linked entities (eg, disease, gene, protein, chemical compounds). When such entities are linked, they form a map that can be further explored using network science tools. The CovidX algorithm was based upon a notion that we called "diversity." A diversity score for a given drug was calculated by measuring how "diverse" a drug is calculated using various biological entities (regardless of the cardinality of actual instances in each category). The algorithm validates the ranking and awards those drugs that are currently being investigated in open clinical trials. The rationale behind the open clinical trial is to provide a validating mechanism of the PubMed results. This ensures providing up to date evidence of the fast development of this disease.

RESULTS:

From the analyzed biomedical literature, the algorithm identified 30 possible drug candidates for repurposing, ranked them accordingly, and validated the ranking outcomes against evidence from clinical trials. The top 10 candidates according to our algorithm are hydroxychloroquine, azithromycin, chloroquine, ritonavir, losartan, remdesivir, favipiravir, methylprednisolone, rapamycin, and tilorone dihydrochloride.

CONCLUSIONS:

The ranking shows both consistency and promise in identifying drugs that can be repurposed. We believe, however, the full treatment to be a multifaceted, adjuvant approach where multiple drugs may need to be taken at the same time.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Coronavirus Infections / Drug Repositioning / Betacoronavirus / Hydroxychloroquine Type of study: Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 21169

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Coronavirus Infections / Drug Repositioning / Betacoronavirus / Hydroxychloroquine Type of study: Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: J Med Internet Res Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: 21169