Machine learning in the development of targeting microRNAs in human disease
A microRNA is a small, single-stranded, non-coding ribonucleic acid that plays a crucial role in RNA silencing and can regulate gene expression. With the in-depth study of miRNA in development and disease, miRNA has become an attractive target for novel therapeutic strategies. Exploring miRNA target...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Genetics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.1088189/full |
| _version_ | 1797962212429529088 |
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| author | Yuxun Luo Yuxun Luo Li Peng Li Peng Wenyu Shan Mengyue Sun Lingyun Luo Wei Liang Wei Liang |
| author_facet | Yuxun Luo Yuxun Luo Li Peng Li Peng Wenyu Shan Mengyue Sun Lingyun Luo Wei Liang Wei Liang |
| author_sort | Yuxun Luo |
| collection | DOAJ |
| description | A microRNA is a small, single-stranded, non-coding ribonucleic acid that plays a crucial role in RNA silencing and can regulate gene expression. With the in-depth study of miRNA in development and disease, miRNA has become an attractive target for novel therapeutic strategies. Exploring miRNA targeting therapy only through experiments is expensive and laborious, so it is essential to develop novel and efficient computational methods to narrow down the search. Recent advances in machine learning applied in biomedical informatics provide opportunities to explore miRNA-targeting drugs, thus promoting miRNA therapeutics. This review provides an overview of recent advancements in miRNA targeting therapeutic using machine learning. First, we mainly describe the basics of predicting miRNA targeting drugs, including pharmacogenomic data resources and data preprocessing. Then we present primary machine learning algorithms and elaborate their application in discovering relationships among miRNAs, drugs, and diseases. Along with the progress of miRNA targeting therapeutics, we finally analyze and discuss the current challenges and opportunities that machine learning confronts. |
| first_indexed | 2024-04-11T01:09:49Z |
| format | Article |
| id | doaj.art-83a7641f4037475485e64eee0fa15ff0 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-11T01:09:49Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-83a7641f4037475485e64eee0fa15ff02023-01-04T07:28:20ZengFrontiers Media S.A.Frontiers in Genetics1664-80212023-01-011310.3389/fgene.2022.10881891088189Machine learning in the development of targeting microRNAs in human diseaseYuxun Luo0Yuxun Luo1Li Peng2Li Peng3Wenyu Shan4Mengyue Sun5Lingyun Luo6Wei Liang7Wei Liang8School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaHunan Key Laboratory for Service computing and Novel Software Technology, Xiangtan, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaHunan Key Laboratory for Service computing and Novel Software Technology, Xiangtan, ChinaSchool of Computer Science, University of South China, Hengyang, ChinaSchool of Polymer Science and Polymer Engineering, The University of Akron, Akron, OH, United StatesSchool of Computer Science, University of South China, Hengyang, ChinaSchool of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, ChinaHunan Key Laboratory for Service computing and Novel Software Technology, Xiangtan, ChinaA microRNA is a small, single-stranded, non-coding ribonucleic acid that plays a crucial role in RNA silencing and can regulate gene expression. With the in-depth study of miRNA in development and disease, miRNA has become an attractive target for novel therapeutic strategies. Exploring miRNA targeting therapy only through experiments is expensive and laborious, so it is essential to develop novel and efficient computational methods to narrow down the search. Recent advances in machine learning applied in biomedical informatics provide opportunities to explore miRNA-targeting drugs, thus promoting miRNA therapeutics. This review provides an overview of recent advancements in miRNA targeting therapeutic using machine learning. First, we mainly describe the basics of predicting miRNA targeting drugs, including pharmacogenomic data resources and data preprocessing. Then we present primary machine learning algorithms and elaborate their application in discovering relationships among miRNAs, drugs, and diseases. Along with the progress of miRNA targeting therapeutics, we finally analyze and discuss the current challenges and opportunities that machine learning confronts.https://www.frontiersin.org/articles/10.3389/fgene.2022.1088189/fullmachine learningmirna therapymiRNA-disease associationmiRNA-drug associationdeep learning |
| spellingShingle | Yuxun Luo Yuxun Luo Li Peng Li Peng Wenyu Shan Mengyue Sun Lingyun Luo Wei Liang Wei Liang Machine learning in the development of targeting microRNAs in human disease Frontiers in Genetics machine learning mirna therapy miRNA-disease association miRNA-drug association deep learning |
| title | Machine learning in the development of targeting microRNAs in human disease |
| title_full | Machine learning in the development of targeting microRNAs in human disease |
| title_fullStr | Machine learning in the development of targeting microRNAs in human disease |
| title_full_unstemmed | Machine learning in the development of targeting microRNAs in human disease |
| title_short | Machine learning in the development of targeting microRNAs in human disease |
| title_sort | machine learning in the development of targeting micrornas in human disease |
| topic | machine learning mirna therapy miRNA-disease association miRNA-drug association deep learning |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.1088189/full |
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