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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Main Authors: Rajesh Manicavasaga, Prabin B Lamichhane, Prajjwal Kandel, Douglas A. Talbert
Format: Article
Language:English
Published: LibraryPress@UF 2022-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
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.
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publishDate 2022-05-01
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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
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AT prabinblamichhane drugrepurposingforrareorphandiseasesusingmachinelearningtechniques
AT prajjwalkandel drugrepurposingforrareorphandiseasesusingmachinelearningtechniques
AT douglasatalbert drugrepurposingforrareorphandiseasesusingmachinelearningtechniques