This paper is in the following e-collection/theme issue:

New Methods (1169) Pharmacology and Pharmaceutics (125) Pharmacovigilance (180) JMIR Theme Issue: COVID-19 Special Issue (2561) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1544) Theme Issue: The New Digital Normal in Health and Medicine (41) Data Science (381) Theme Issue 2022: Chatbots and COVID-19 (42)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45225, first published .
Potential Target Discovery and Drug Repurposing for Coronaviruses: Study Involving a Knowledge Graph–Based Approach

Potential Target Discovery and Drug Repurposing for Coronaviruses: Study Involving a Knowledge Graph–Based Approach

Potential Target Discovery and Drug Repurposing for Coronaviruses: Study Involving a Knowledge Graph–Based Approach

Authors of this article:

Pei Lou1 Author Orcid Image ;   An Fang1 Author Orcid Image ;   Wanqing Zhao1 Author Orcid Image ;   Kuanda Yao1 Author Orcid Image ;   Yusheng Yang1 Author Orcid Image ;   Jiahui Hu1 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

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  2. Kumar A, Bhandary S, Hegde S, Chatterjee J. Knowledge graph applications and multi-relation learning for drug repurposing: A scoping review. Computational Biology and Chemistry 2025;115:108364 View
  3. Sanou G, Manso T, Todorov K, Giudicelli V, Duroux P, Kossida S. Therapeutic monoclonal antibodies repurposing in oncology via IMGT/mAb-KG embeddings. BMC Medical Informatics and Decision Making 2026 View

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