JOURNAL ARTICLE

Treatment Repurposing using Literature-related Discovery

Ronald N. Kostoff

Year: 2019 Journal:   Journal of Scientometric Research Vol: 8 (2s)Pages: s74-s84

Abstract

This article describes the Literature-Related Discovery technique and its application to Treatment Repurposing (which includes, but goes well beyond, Drug Repurposing). Illustrative results of potential repurposed treatments were shown from a study on preventing and reversing Alzheimer’s disease. The detailed query used to generate these results is presented. The approach has the potential to identify voluminous amounts of candidate treatments for repurposing. Additionally, a broad review of the Drug Repurposing literature is provided. A Drug Repurposing database is retrieved and the structure and content are analyzed using Text Clustering and Factor Analysis. Two taxonomies of the Drug Repurposing literature are presented and specific major themes are shown.

Keywords:
Repurposing Drug repositioning Computer science Drug discovery Cluster analysis Data science Information retrieval Drug Artificial intelligence Bioinformatics Medicine Pharmacology Engineering Biology

Metrics

4
Cited By
0.41
FWCI (Field Weighted Citation Impact)
0
Refs
0.57
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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