A Computational Approach for Pathway-Based Systemic Drug Influence
Drug repositioning is a well-known method used to reduce the time, cost, and development risks involved in bringing a new drug to the market. The rapid expansion of high-throughput datasets has enabled computational research that can suggest new potential uses for existing drugs. Some computational...
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MDPI AG
2021-06-01
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| Online Access: | https://www.mdpi.com/2227-9717/9/6/1063 |
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doaj-c2262ad75c8c4b72a9e37ca6ae3637492021-07-01T00:27:58ZengMDPI AGProcesses2227-97172021-06-0191063106310.3390/pr9061063A Computational Approach for Pathway-Based Systemic Drug InfluenceShinuk Kim0College of Engineering, Sangmyung University, Cheonan 31066, KoreaDrug repositioning is a well-known method used to reduce the time, cost, and development risks involved in bringing a new drug to the market. The rapid expansion of high-throughput datasets has enabled computational research that can suggest new potential uses for existing drugs. Some computational methods allow the prediction of potential drug targets of a given disease from a systematic network. Despite numerous efforts, the path of many drugs’ efficacy in the human body remains unclear. Therefore, the present study attempted to understand drug efficacy by systematically focusing on functional gene sets. The purpose of this study was to carry out modeling to identify systemic gene networks (called drug paths) in drug-specific pathways. In our results, we found five different paths for five different drugs.https://www.mdpi.com/2227-9717/9/6/1063paths of drug efficacyparameter searchsystemic gene networks |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Shinuk Kim |
| spellingShingle |
Shinuk Kim A Computational Approach for Pathway-Based Systemic Drug Influence Processes paths of drug efficacy parameter search systemic gene networks |
| author_facet |
Shinuk Kim |
| author_sort |
Shinuk Kim |
| title |
A Computational Approach for Pathway-Based Systemic Drug Influence |
| title_short |
A Computational Approach for Pathway-Based Systemic Drug Influence |
| title_full |
A Computational Approach for Pathway-Based Systemic Drug Influence |
| title_fullStr |
A Computational Approach for Pathway-Based Systemic Drug Influence |
| title_full_unstemmed |
A Computational Approach for Pathway-Based Systemic Drug Influence |
| title_sort |
computational approach for pathway-based systemic drug influence |
| publisher |
MDPI AG |
| series |
Processes |
| issn |
2227-9717 |
| publishDate |
2021-06-01 |
| description |
Drug repositioning is a well-known method used to reduce the time, cost, and development risks involved in bringing a new drug to the market. The rapid expansion of high-throughput datasets has enabled computational research that can suggest new potential uses for existing drugs. Some computational methods allow the prediction of potential drug targets of a given disease from a systematic network. Despite numerous efforts, the path of many drugs’ efficacy in the human body remains unclear. Therefore, the present study attempted to understand drug efficacy by systematically focusing on functional gene sets. The purpose of this study was to carry out modeling to identify systemic gene networks (called drug paths) in drug-specific pathways. In our results, we found five different paths for five different drugs. |
| topic |
paths of drug efficacy parameter search systemic gene networks |
| url |
https://www.mdpi.com/2227-9717/9/6/1063 |
| work_keys_str_mv |
AT shinukkim acomputationalapproachforpathwaybasedsystemicdruginfluence AT shinukkim computationalapproachforpathwaybasedsystemicdruginfluence |
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