Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review

Spinal muscular atrophy (SMA), one of the leading inherited causes of child mortality, is a rare neuromuscular disease arising from loss-of-function mutations of the survival motor neuron 1 (<i>SMN1</i>) gene, which encodes the SMN protein. When lacking the SMN protein in neurons, patien...

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Main Authors: Li Chuin Chong, Gayatri Gandhi, Jian Ming Lee, Wendy Wai Yeng Yeo, Sy-Bing Choi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/16/8962
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author Li Chuin Chong
Gayatri Gandhi
Jian Ming Lee
Wendy Wai Yeng Yeo
Sy-Bing Choi
author_facet Li Chuin Chong
Gayatri Gandhi
Jian Ming Lee
Wendy Wai Yeng Yeo
Sy-Bing Choi
author_sort Li Chuin Chong
collection DOAJ
description Spinal muscular atrophy (SMA), one of the leading inherited causes of child mortality, is a rare neuromuscular disease arising from loss-of-function mutations of the survival motor neuron 1 (<i>SMN1</i>) gene, which encodes the SMN protein. When lacking the SMN protein in neurons, patients suffer from muscle weakness and atrophy, and in the severe cases, respiratory failure and death. Several therapeutic approaches show promise with human testing and three medications have been approved by the U.S. Food and Drug Administration (FDA) to date. Despite the shown promise of these approved therapies, there are some crucial limitations, one of the most important being the cost. The FDA-approved drugs are high-priced and are shortlisted among the most expensive treatments in the world. The price is still far beyond affordable and may serve as a burden for patients. The blooming of the biomedical data and advancement of computational approaches have opened new possibilities for SMA therapeutic development. This article highlights the present status of computationally aided approaches, including <i>in silico</i> drug repurposing, network driven drug discovery as well as artificial intelligence (AI)-assisted drug discovery, and discusses the future prospects.
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spelling doaj.art-06f5025de7d34b58af85d9f82e7578c52023-11-22T08:03:17ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-08-012216896210.3390/ijms22168962Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive ReviewLi Chuin Chong0Gayatri Gandhi1Jian Ming Lee2Wendy Wai Yeng Yeo3Sy-Bing Choi4Centre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, MalaysiaPerdana University Graduate School of Medicine, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, MalaysiaCentre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, MalaysiaPerdana University Graduate School of Medicine, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, MalaysiaCentre for Bioinformatics, School of Data Sciences, Perdana University, Suite 9.2, 9th Floor, Wisma Chase Perdana, Changkat Semantan, Kuala Lumpur 50490, MalaysiaSpinal muscular atrophy (SMA), one of the leading inherited causes of child mortality, is a rare neuromuscular disease arising from loss-of-function mutations of the survival motor neuron 1 (<i>SMN1</i>) gene, which encodes the SMN protein. When lacking the SMN protein in neurons, patients suffer from muscle weakness and atrophy, and in the severe cases, respiratory failure and death. Several therapeutic approaches show promise with human testing and three medications have been approved by the U.S. Food and Drug Administration (FDA) to date. Despite the shown promise of these approved therapies, there are some crucial limitations, one of the most important being the cost. The FDA-approved drugs are high-priced and are shortlisted among the most expensive treatments in the world. The price is still far beyond affordable and may serve as a burden for patients. The blooming of the biomedical data and advancement of computational approaches have opened new possibilities for SMA therapeutic development. This article highlights the present status of computationally aided approaches, including <i>in silico</i> drug repurposing, network driven drug discovery as well as artificial intelligence (AI)-assisted drug discovery, and discusses the future prospects.https://www.mdpi.com/1422-0067/22/16/8962drug discoverydrug therapyspinal muscular atrophySMAneuromuscular disordercomputational aided drug discovery
spellingShingle Li Chuin Chong
Gayatri Gandhi
Jian Ming Lee
Wendy Wai Yeng Yeo
Sy-Bing Choi
Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
International Journal of Molecular Sciences
drug discovery
drug therapy
spinal muscular atrophy
SMA
neuromuscular disorder
computational aided drug discovery
title Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
title_full Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
title_fullStr Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
title_full_unstemmed Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
title_short Drug Discovery of Spinal Muscular Atrophy (SMA) from the Computational Perspective: A Comprehensive Review
title_sort drug discovery of spinal muscular atrophy sma from the computational perspective a comprehensive review
topic drug discovery
drug therapy
spinal muscular atrophy
SMA
neuromuscular disorder
computational aided drug discovery
url https://www.mdpi.com/1422-0067/22/16/8962
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