Correction to: Drug Repurposing for the Treatment of COVID-19: A Knowledge Graph Approach (Advanced Therapeutics, (2021), 4, 7, (2100055), 10.1002/adtp.202100055)

  • Vincent K.C. Yan
  • , Xiaodong Li
  • , Xuxiao Ye
  • , Min Ou
  • , Ruibang Luo
  • , Qingpeng Zhang
  • , Bo Tang
  • , Benjamin J. Cowling
  • , Ivan Hung
  • , Chung Wah Siu
  • , Ian C.K. Wong
  • , Reynold C.K. Cheng
  • , Esther W. Chan

Research output: Contribution to journalComment/debate

1 Citation (Scopus)

Abstract

DOI: 10.1002/adtp.202100055 Adv. Therap. 2021, 4, 2100055 The authors are correcting this article because in the original manuscript the figure caption of figure 3 and 4 was accidently exchanged. The correct figure captions to figure 3 and 4 are attached. 3 Figure (Figure presented.) Motifs-of-interest for drug repurposing used in this study. A motif, essentially a connected graph of a few nodes and edges, is a fundamental building block of large and complex knowledge graphs. Motifs-of-interest are defined depending on the use case (e.g., drug repurposing in our study). After defining the relevant motifs-of-interest, motif-clique discovery algorithms are used to extract subgraphs that match the motifs of interest. Note each type of node only appears once in each motif for better efficiency. 4 Figure (Figure presented.) Performance of the knowledge graph drug repurposing algorithm used in this study.

Original languageEnglish
Article number2100179
JournalAdvanced Therapeutics
Volume4
Issue number10
DOIs
Publication statusPublished - Oct 2021

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