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Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases

Neurodegenerative diseases (NDs) including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease are incurable and affect millions of people worldwide. The development of treatments for this unmet clinical need is a major global research challenge. Compute...

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Detalles Bibliográficos
Autores principales: Salman, Mootaz M., Al-Obaidi, Zaid, Kitchen, Philip, Loreto, Andrea, Bill, Roslyn M., Wade-Martins, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124449/
https://www.ncbi.nlm.nih.gov/pubmed/33925236
http://dx.doi.org/10.3390/ijms22094688
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author Salman, Mootaz M.
Al-Obaidi, Zaid
Kitchen, Philip
Loreto, Andrea
Bill, Roslyn M.
Wade-Martins, Richard
author_facet Salman, Mootaz M.
Al-Obaidi, Zaid
Kitchen, Philip
Loreto, Andrea
Bill, Roslyn M.
Wade-Martins, Richard
author_sort Salman, Mootaz M.
collection PubMed
description Neurodegenerative diseases (NDs) including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease are incurable and affect millions of people worldwide. The development of treatments for this unmet clinical need is a major global research challenge. Computer-aided drug design (CADD) methods minimize the huge number of ligands that could be screened in biological assays, reducing the cost, time, and effort required to develop new drugs. In this review, we provide an introduction to CADD and examine the progress in applying CADD and other molecular docking studies to NDs. We provide an updated overview of potential therapeutic targets for various NDs and discuss some of the advantages and disadvantages of these tools.
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spelling pubmed-81244492021-05-17 Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases Salman, Mootaz M. Al-Obaidi, Zaid Kitchen, Philip Loreto, Andrea Bill, Roslyn M. Wade-Martins, Richard Int J Mol Sci Review Neurodegenerative diseases (NDs) including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease are incurable and affect millions of people worldwide. The development of treatments for this unmet clinical need is a major global research challenge. Computer-aided drug design (CADD) methods minimize the huge number of ligands that could be screened in biological assays, reducing the cost, time, and effort required to develop new drugs. In this review, we provide an introduction to CADD and examine the progress in applying CADD and other molecular docking studies to NDs. We provide an updated overview of potential therapeutic targets for various NDs and discuss some of the advantages and disadvantages of these tools. MDPI 2021-04-28 /pmc/articles/PMC8124449/ /pubmed/33925236 http://dx.doi.org/10.3390/ijms22094688 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Salman, Mootaz M.
Al-Obaidi, Zaid
Kitchen, Philip
Loreto, Andrea
Bill, Roslyn M.
Wade-Martins, Richard
Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title_full Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title_fullStr Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title_full_unstemmed Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title_short Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases
title_sort advances in applying computer-aided drug design for neurodegenerative diseases
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124449/
https://www.ncbi.nlm.nih.gov/pubmed/33925236
http://dx.doi.org/10.3390/ijms22094688
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