Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease
Abstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential m...
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Nature Portfolio
2021
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oai:doaj.org-article:9a7a307920eb490dbf63a8b3f95f2b6e2021-12-02T17:44:54ZIntegrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease10.1038/s41598-021-92701-22045-2322https://doaj.org/article/9a7a307920eb490dbf63a8b3f95f2b6e2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92701-2https://doaj.org/toc/2045-2322Abstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential mechanisms. Then, we collected drugs and related targets from DrugBank, narrowed the list by proximity scores and Inverted Gene Set Enrichment analysis of drug targets, and identified potential drug candidates for PD treatment. Finally, we compared the expression distribution of the candidate drug-target genes between the PD group and the control group in the public dataset with the largest sample size (GSE99039) in Gene Expression Omnibus. Ten drugs with an FDR < 0.1 and their corresponding targets were identified. Some target genes of the ten drugs significantly overlapped with PD-related genes or already known therapeutic targets for PD. Nine differentially expressed drug-target genes with p < 0.05 were screened. This work will facilitate further research into the possible efficacy of new drugs for PD and will provide valuable clues for drug design.Pusheng QuanKai WangShi YanShirong WenChengqun WeiXinyu ZhangJingwei CaoLifen YaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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DOAJ |
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DOAJ |
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EN |
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Medicine R Science Q |
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Medicine R Science Q Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| description |
Abstract This study aimed to identify potential novel drug candidates and targets for Parkinson’s disease. First, 970 genes that have been reported to be related to PD were collected from five databases, and functional enrichment analysis of these genes was conducted to investigate their potential mechanisms. Then, we collected drugs and related targets from DrugBank, narrowed the list by proximity scores and Inverted Gene Set Enrichment analysis of drug targets, and identified potential drug candidates for PD treatment. Finally, we compared the expression distribution of the candidate drug-target genes between the PD group and the control group in the public dataset with the largest sample size (GSE99039) in Gene Expression Omnibus. Ten drugs with an FDR < 0.1 and their corresponding targets were identified. Some target genes of the ten drugs significantly overlapped with PD-related genes or already known therapeutic targets for PD. Nine differentially expressed drug-target genes with p < 0.05 were screened. This work will facilitate further research into the possible efficacy of new drugs for PD and will provide valuable clues for drug design. |
| format |
article |
| author |
Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao |
| author_facet |
Pusheng Quan Kai Wang Shi Yan Shirong Wen Chengqun Wei Xinyu Zhang Jingwei Cao Lifen Yao |
| author_sort |
Pusheng Quan |
| title |
Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_short |
Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_full |
Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_fullStr |
Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_full_unstemmed |
Integrated network analysis identifying potential novel drug candidates and targets for Parkinson's disease |
| title_sort |
integrated network analysis identifying potential novel drug candidates and targets for parkinson's disease |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/9a7a307920eb490dbf63a8b3f95f2b6e |
| work_keys_str_mv |
AT pushengquan integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT kaiwang integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT shiyan integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT shirongwen integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT chengqunwei integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT xinyuzhang integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT jingweicao integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease AT lifenyao integratednetworkanalysisidentifyingpotentialnoveldrugcandidatesandtargetsforparkinsonsdisease |
| _version_ |
1718379603189301248 |