Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis
The objective is to search potential therapeutic drugs for Parkinson’s disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of genes of...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Parkinson's Disease |
| Online Access: | http://dx.doi.org/10.1155/2018/3464578 |
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| _version_ | 1832556690127454208 |
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| author | Chuan Xu Jiajun Chen Xia Xu Yingyu Zhang Jia Li |
| author_facet | Chuan Xu Jiajun Chen Xia Xu Yingyu Zhang Jia Li |
| author_sort | Chuan Xu |
| collection | DOAJ |
| description | The objective is to search potential therapeutic drugs for Parkinson’s disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of genes of PD brain tissue, original gene data analysis, differential gene crossover, pathway enrichment analysis, and protein interaction, and potential therapeutic drugs for Parkinson’s disease were obtained through drug-gene relationship. Result. 250 common differential genes were obtained from 3 research studies, and 31 differential gene candidates were obtained through gene enrichment analysis and protein interaction. 10 drugs such as metformin hydrochloride were directly or indirectly correlated to differential gene candidates. Conclusion. Potential therapeutic drugs that may be used for prevention and treatment of Parkinson’s disease were discovered through data mining and bioinformatics analysis, which provided new ideas for research and development of drugs. Results showed that metformin hydrochloride and other drugs had certain therapeutical effect on Parkinson’s disease, and melbine (DMBG) can be used for treatment of Parkinson’s disease and type 2 diabetes patients. |
| format | Article |
| id | doaj-art-90d1ecaf410d449ca671f3ae4d3dceb3 |
| institution | Kabale University |
| issn | 2090-8083 2042-0080 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Parkinson's Disease |
| spelling | doaj-art-90d1ecaf410d449ca671f3ae4d3dceb32025-02-03T05:44:40ZengWileyParkinson's Disease2090-80832042-00802018-01-01201810.1155/2018/34645783464578Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics AnalysisChuan Xu0Jiajun Chen1Xia Xu2Yingyu Zhang3Jia Li4Department of Neurology (III), China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, ChinaDepartment of Neurology (III), China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, ChinaYiwu Maternal and Child Health Hospital, Yiwu 322000, Zhejiang, ChinaDepartment of Neurology (III), China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, ChinaDepartment of Neurology (III), China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, ChinaThe objective is to search potential therapeutic drugs for Parkinson’s disease based on data mining and bioinformatics analysis and providing new ideas for research studies on “new application of conventional drugs.” Method differential gene candidates were obtained based on data mining of genes of PD brain tissue, original gene data analysis, differential gene crossover, pathway enrichment analysis, and protein interaction, and potential therapeutic drugs for Parkinson’s disease were obtained through drug-gene relationship. Result. 250 common differential genes were obtained from 3 research studies, and 31 differential gene candidates were obtained through gene enrichment analysis and protein interaction. 10 drugs such as metformin hydrochloride were directly or indirectly correlated to differential gene candidates. Conclusion. Potential therapeutic drugs that may be used for prevention and treatment of Parkinson’s disease were discovered through data mining and bioinformatics analysis, which provided new ideas for research and development of drugs. Results showed that metformin hydrochloride and other drugs had certain therapeutical effect on Parkinson’s disease, and melbine (DMBG) can be used for treatment of Parkinson’s disease and type 2 diabetes patients.http://dx.doi.org/10.1155/2018/3464578 |
| spellingShingle | Chuan Xu Jiajun Chen Xia Xu Yingyu Zhang Jia Li Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis Parkinson's Disease |
| title | Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis |
| title_full | Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis |
| title_fullStr | Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis |
| title_full_unstemmed | Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis |
| title_short | Potential Therapeutic Drugs for Parkinson’s Disease Based on Data Mining and Bioinformatics Analysis |
| title_sort | potential therapeutic drugs for parkinson s disease based on data mining and bioinformatics analysis |
| url | http://dx.doi.org/10.1155/2018/3464578 |
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