Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes
Background/Objectives: Drug development for complex diseases such as NAFLD is often lengthy and expensive. Drug repurposing, the process of finding new therapeutic uses for existing drugs, presents a promising alternative to traditional approaches. This study aims to identify potential repurposed dr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-04-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/15/4/255 |
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| author | Md. Altaf-Ul-Amin Ahmad Kamal Nasution Rumman Mahfujul Islam Pei Gao Naoaki Ono Shigehiko Kanaya |
| author_facet | Md. Altaf-Ul-Amin Ahmad Kamal Nasution Rumman Mahfujul Islam Pei Gao Naoaki Ono Shigehiko Kanaya |
| author_sort | Md. Altaf-Ul-Amin |
| collection | DOAJ |
| description | Background/Objectives: Drug development for complex diseases such as NAFLD is often lengthy and expensive. Drug repurposing, the process of finding new therapeutic uses for existing drugs, presents a promising alternative to traditional approaches. This study aims to identify potential repurposed drugs for NAFLD by leveraging disease–disease relationships and drug–target data from the BioSNAP database. Methods: A bipartite network was constructed between drugs and their target genes, followed by the application of the BiClusO bi-clustering algorithm to identify high-density clusters. Clusters with significant associations with NAFLD risk genes were considered to predict potential drug candidates. Another set of candidates was determined based on disease similarity. Results: A novel ranking methodology was developed to evaluate and prioritize these candidates, supported by a comprehensive literature review of their effectiveness in NAFLD treatment. Conclusions: This research demonstrates the potential of drug repurposing to accelerate the development of therapies for NAFLD, offering valuable insights into novel treatment strategies for complex diseases. |
| format | Article |
| id | doaj-art-fd558d18a7464eb4a840877bbfd69288 |
| institution | OA Journals |
| issn | 2218-1989 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj-art-fd558d18a7464eb4a840877bbfd692882025-08-20T02:28:24ZengMDPI AGMetabolites2218-19892025-04-0115425510.3390/metabo15040255Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and GenesMd. Altaf-Ul-Amin0Ahmad Kamal Nasution1Rumman Mahfujul Islam2Pei Gao3Naoaki Ono4Shigehiko Kanaya5Computational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanComputational Systems Biology Lab, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara 630-0101, JapanBackground/Objectives: Drug development for complex diseases such as NAFLD is often lengthy and expensive. Drug repurposing, the process of finding new therapeutic uses for existing drugs, presents a promising alternative to traditional approaches. This study aims to identify potential repurposed drugs for NAFLD by leveraging disease–disease relationships and drug–target data from the BioSNAP database. Methods: A bipartite network was constructed between drugs and their target genes, followed by the application of the BiClusO bi-clustering algorithm to identify high-density clusters. Clusters with significant associations with NAFLD risk genes were considered to predict potential drug candidates. Another set of candidates was determined based on disease similarity. Results: A novel ranking methodology was developed to evaluate and prioritize these candidates, supported by a comprehensive literature review of their effectiveness in NAFLD treatment. Conclusions: This research demonstrates the potential of drug repurposing to accelerate the development of therapies for NAFLD, offering valuable insights into novel treatment strategies for complex diseases.https://www.mdpi.com/2218-1989/15/4/255BiClusO algorithmdisease similaritydrug repurposingnetwork analysisnon-alcoholic fatty liver disease (NAFLD) |
| spellingShingle | Md. Altaf-Ul-Amin Ahmad Kamal Nasution Rumman Mahfujul Islam Pei Gao Naoaki Ono Shigehiko Kanaya Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes Metabolites BiClusO algorithm disease similarity drug repurposing network analysis non-alcoholic fatty liver disease (NAFLD) |
| title | Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes |
| title_full | Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes |
| title_fullStr | Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes |
| title_full_unstemmed | Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes |
| title_short | Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes |
| title_sort | drug repurposing for non alcoholic fatty liver disease by analyzing networks among drugs diseases and genes |
| topic | BiClusO algorithm disease similarity drug repurposing network analysis non-alcoholic fatty liver disease (NAFLD) |
| url | https://www.mdpi.com/2218-1989/15/4/255 |
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