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Machine Learning Applications in Drug Repurposing.
Yang, Fan; Zhang, Qi; Ji, Xiaokang; Zhang, Yanchun; Li, Wentao; Peng, Shaoliang; Xue, Fuzhong.
  • Yang F; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Zhang Q; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Ji X; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Zhang Y; Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Li W; Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
  • Peng S; Institute for Sustainable Industries & Liveable Citie, Victoria University, Melbourne, Australia.
  • Xue F; Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, 325001, China.
Interdiscip Sci ; 14(1): 15-21, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1641016
ABSTRACT
The coronavirus disease (COVID-19) has led to an rush to repurpose existing drugs, although the underlying evidence base is of variable quality. Drug repurposing is a technique by taking advantage of existing known drugs or drug combinations to be explored in an unexpected medical scenario. Drug repurposing, hence, plays a vital role in accelerating the pre-clinical process of designing novel drugs by saving time and cost compared to the traditional de novo drug discovery processes. Since drug repurposing depends on massive observed data from existing drugs and diseases, the tremendous growth of publicly available large-scale machine learning methods supplies the state-of-the-art application of data science to signaling disease, medicine, therapeutics, and identifying targets with the least error. In this article, we introduce guidelines on strategies and options of utilizing machine learning approaches for accelerating drug repurposing. We discuss how to employ machine learning methods in studying precision medicine, and as an instance, how machine learning approaches can accelerate COVID-19 drug repurposing by developing Chinese traditional medicine therapy. This article provides a strong reasonableness for employing machine learning methods for drug repurposing, including during fighting for COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drug Repositioning / COVID-19 Drug Treatment Type of study: Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Interdiscip Sci Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: S12539-021-00487-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Drug Repositioning / COVID-19 Drug Treatment Type of study: Prognostic study Topics: Traditional medicine Limits: Humans Language: English Journal: Interdiscip Sci Journal subject: Biology Year: 2022 Document Type: Article Affiliation country: S12539-021-00487-8