Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques
New drug discovery is a time-consuming and costly process. Several drugs have been in clinical trials for a very long period. Finding a new target for existing medications can be an effective strategy to reduce the lengthy and costly drug development cycle. Drug repurposing (or repositioning) is a c...
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| Format: | Article |
| Language: | English |
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LibraryPress@UF
2022-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
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| Online Access: | https://journals.flvc.org/FLAIRS/article/view/130653 |
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| author | Rajesh Manicavasaga Prabin B Lamichhane Prajjwal Kandel Douglas A. Talbert |
| author_facet | Rajesh Manicavasaga Prabin B Lamichhane Prajjwal Kandel Douglas A. Talbert |
| author_sort | Rajesh Manicavasaga |
| collection | DOAJ |
| description | New drug discovery is a time-consuming and costly process. Several drugs have been in clinical trials for a very long period. Finding a new target for existing medications can be an effective strategy to reduce the lengthy and costly drug development cycle. Drug repurposing (or repositioning) is a cost-effective approach or finding drugs that can treat diseases for which thosemedications are not currently prescribed. Drug repurposing to treat both common and rare diseases is becoming an attractive option because it involves using already approved drugs. Through drug repurposing, we can identify promising drugs for further clinical investigations. This paper presents machine learning techniques for drug repurposing to find existing drugs as an alternate medication for other diseases through drug-drug, drug-genes, drug-enzymes, and drug-targets interactions. We develop a model to find similar drugs that can treat similar diseases. We then use the model to predict potential candidate drugs for rare orphan diseases. |
| format | Article |
| id | doaj-art-dd67d8fffef84927baa62655ab7eb3f3 |
| institution | DOAJ |
| issn | 2334-0754 2334-0762 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | LibraryPress@UF |
| record_format | Article |
| series | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| spelling | doaj-art-dd67d8fffef84927baa62655ab7eb3f32025-08-20T03:07:32ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622022-05-013510.32473/flairs.v35i.13065366852Drug Repurposing for Rare Orphan Diseases Using Machine Learning TechniquesRajesh Manicavasaga0Prabin B Lamichhane1Prajjwal Kandel2Douglas A. Talbert3Tennessee Tech UniversityTennessee Tech UniversityTennessee Tech UniversityTennessee Tech UniversityNew drug discovery is a time-consuming and costly process. Several drugs have been in clinical trials for a very long period. Finding a new target for existing medications can be an effective strategy to reduce the lengthy and costly drug development cycle. Drug repurposing (or repositioning) is a cost-effective approach or finding drugs that can treat diseases for which thosemedications are not currently prescribed. Drug repurposing to treat both common and rare diseases is becoming an attractive option because it involves using already approved drugs. Through drug repurposing, we can identify promising drugs for further clinical investigations. This paper presents machine learning techniques for drug repurposing to find existing drugs as an alternate medication for other diseases through drug-drug, drug-genes, drug-enzymes, and drug-targets interactions. We develop a model to find similar drugs that can treat similar diseases. We then use the model to predict potential candidate drugs for rare orphan diseases.https://journals.flvc.org/FLAIRS/article/view/130653drug repurposingmachine learningdrug repositioning |
| spellingShingle | Rajesh Manicavasaga Prabin B Lamichhane Prajjwal Kandel Douglas A. Talbert Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques Proceedings of the International Florida Artificial Intelligence Research Society Conference drug repurposing machine learning drug repositioning |
| title | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques |
| title_full | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques |
| title_fullStr | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques |
| title_full_unstemmed | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques |
| title_short | Drug Repurposing for Rare Orphan Diseases Using Machine Learning Techniques |
| title_sort | drug repurposing for rare orphan diseases using machine learning techniques |
| topic | drug repurposing machine learning drug repositioning |
| url | https://journals.flvc.org/FLAIRS/article/view/130653 |
| work_keys_str_mv | AT rajeshmanicavasaga drugrepurposingforrareorphandiseasesusingmachinelearningtechniques AT prabinblamichhane drugrepurposingforrareorphandiseasesusingmachinelearningtechniques AT prajjwalkandel drugrepurposingforrareorphandiseasesusingmachinelearningtechniques AT douglasatalbert drugrepurposingforrareorphandiseasesusingmachinelearningtechniques |