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InterLig: improved ligand-based virtual screening using topologically independent structural alignments
MOTIVATION: In the past few years, drug discovery processes have been relying more and more on computational methods to sift out the most promising molecules before time and resources are spent to test them in experimental settings. Whenever the protein target of a given disease is not known, it bec...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214017/ https://www.ncbi.nlm.nih.gov/pubmed/32049311 http://dx.doi.org/10.1093/bioinformatics/btaa089 |
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author | Mirabello, Claudio Wallner, Björn |
author_facet | Mirabello, Claudio Wallner, Björn |
author_sort | Mirabello, Claudio |
collection | PubMed |
description | MOTIVATION: In the past few years, drug discovery processes have been relying more and more on computational methods to sift out the most promising molecules before time and resources are spent to test them in experimental settings. Whenever the protein target of a given disease is not known, it becomes fundamental to have accurate methods for ligand-based virtual screening, which compares known active molecules against vast libraries of candidate compounds. Recently, 3D-based similarity methods have been developed that are capable of scaffold hopping and to superimpose matching molecules. RESULTS: Here, we present InterLig, a new method for the comparison and superposition of small molecules using topologically independent alignments of atoms. We test InterLig on a standard benchmark and show that it compares favorably to the best currently available 3D methods. AVAILABILITY AND IMPLEMENTATION: The program is available from http://wallnerlab.org/InterLig. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-7214017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72140172020-05-15 InterLig: improved ligand-based virtual screening using topologically independent structural alignments Mirabello, Claudio Wallner, Björn Bioinformatics Applications Notes MOTIVATION: In the past few years, drug discovery processes have been relying more and more on computational methods to sift out the most promising molecules before time and resources are spent to test them in experimental settings. Whenever the protein target of a given disease is not known, it becomes fundamental to have accurate methods for ligand-based virtual screening, which compares known active molecules against vast libraries of candidate compounds. Recently, 3D-based similarity methods have been developed that are capable of scaffold hopping and to superimpose matching molecules. RESULTS: Here, we present InterLig, a new method for the comparison and superposition of small molecules using topologically independent alignments of atoms. We test InterLig on a standard benchmark and show that it compares favorably to the best currently available 3D methods. AVAILABILITY AND IMPLEMENTATION: The program is available from http://wallnerlab.org/InterLig. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2020-05-15 2020-02-12 /pmc/articles/PMC7214017/ /pubmed/32049311 http://dx.doi.org/10.1093/bioinformatics/btaa089 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Mirabello, Claudio Wallner, Björn InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title | InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title_full | InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title_fullStr | InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title_full_unstemmed | InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title_short | InterLig: improved ligand-based virtual screening using topologically independent structural alignments |
title_sort | interlig: improved ligand-based virtual screening using topologically independent structural alignments |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214017/ https://www.ncbi.nlm.nih.gov/pubmed/32049311 http://dx.doi.org/10.1093/bioinformatics/btaa089 |
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