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In silico virtual screening approaches for anti-viral drug discovery
Despite the considerable advances in medical and pharmaceutical research during the past years, diseases caused by viruses have remained a major burden to public health. Virtual in silico screening has repeatedly proven to be useful to meet the special challenges of antiviral drug discovery. Large v...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105918/ https://www.ncbi.nlm.nih.gov/pubmed/24990575 http://dx.doi.org/10.1016/j.ddtec.2012.07.009 |
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author | Murgueitio, Manuela S. Bermudez, Marcel Mortier, Jérémie Wolber, Gerhard |
author_facet | Murgueitio, Manuela S. Bermudez, Marcel Mortier, Jérémie Wolber, Gerhard |
author_sort | Murgueitio, Manuela S. |
collection | PubMed |
description | Despite the considerable advances in medical and pharmaceutical research during the past years, diseases caused by viruses have remained a major burden to public health. Virtual in silico screening has repeatedly proven to be useful to meet the special challenges of antiviral drug discovery. Large virtual compound libraries are filtered by different computational screening methods such as docking, ligand-based similarity searches or pharmacophore-based screening, reducing the number of candidate molecules to a smaller set of promising candidates that are then tested biologically. This rational approach makes the drug discovery process more goal-oriented and saves resources in terms of time and money. In this review we discuss how different virtual screening techniques can be applied to antiviral drug discovery, present recent success stories in this field and finally address the main differences between the methods. |
format | Online Article Text |
id | pubmed-7105918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71059182020-03-31 In silico virtual screening approaches for anti-viral drug discovery Murgueitio, Manuela S. Bermudez, Marcel Mortier, Jérémie Wolber, Gerhard Drug Discov Today Technol Article Despite the considerable advances in medical and pharmaceutical research during the past years, diseases caused by viruses have remained a major burden to public health. Virtual in silico screening has repeatedly proven to be useful to meet the special challenges of antiviral drug discovery. Large virtual compound libraries are filtered by different computational screening methods such as docking, ligand-based similarity searches or pharmacophore-based screening, reducing the number of candidate molecules to a smaller set of promising candidates that are then tested biologically. This rational approach makes the drug discovery process more goal-oriented and saves resources in terms of time and money. In this review we discuss how different virtual screening techniques can be applied to antiviral drug discovery, present recent success stories in this field and finally address the main differences between the methods. Elsevier Ltd. 2012 2012-08-04 /pmc/articles/PMC7105918/ /pubmed/24990575 http://dx.doi.org/10.1016/j.ddtec.2012.07.009 Text en Copyright © 2012 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Murgueitio, Manuela S. Bermudez, Marcel Mortier, Jérémie Wolber, Gerhard In silico virtual screening approaches for anti-viral drug discovery |
title | In silico virtual screening approaches for anti-viral drug discovery |
title_full | In silico virtual screening approaches for anti-viral drug discovery |
title_fullStr | In silico virtual screening approaches for anti-viral drug discovery |
title_full_unstemmed | In silico virtual screening approaches for anti-viral drug discovery |
title_short | In silico virtual screening approaches for anti-viral drug discovery |
title_sort | in silico virtual screening approaches for anti-viral drug discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105918/ https://www.ncbi.nlm.nih.gov/pubmed/24990575 http://dx.doi.org/10.1016/j.ddtec.2012.07.009 |
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