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Natural product-likeness score revisited: an open-source, open-data implementation
BACKGROUND: Natural product-likeness of a molecule, i.e. similarity of this molecule to the structure space covered by natural products, is a useful criterion in screening compound libraries and in designing new lead compounds. A closed source implementation of a natural product-likeness score, that...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436723/ https://www.ncbi.nlm.nih.gov/pubmed/22607271 http://dx.doi.org/10.1186/1471-2105-13-106 |
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author | Jayaseelan, Kalai Vanii Moreno, Pablo Truszkowski, Andreas Ertl, Peter Steinbeck, Christoph |
author_facet | Jayaseelan, Kalai Vanii Moreno, Pablo Truszkowski, Andreas Ertl, Peter Steinbeck, Christoph |
author_sort | Jayaseelan, Kalai Vanii |
collection | PubMed |
description | BACKGROUND: Natural product-likeness of a molecule, i.e. similarity of this molecule to the structure space covered by natural products, is a useful criterion in screening compound libraries and in designing new lead compounds. A closed source implementation of a natural product-likeness score, that finds its application in virtual screening, library design and compound selection, has been previously reported by one of us. In this note, we report an open-source and open-data re-implementation of this scoring system, illustrate its efficiency in ranking small molecules for natural product likeness and discuss its potential applications. RESULTS: The Natural-Product-Likeness scoring system is implemented as Taverna 2.2 workflows, and is available under Creative Commons Attribution-Share Alike 3.0 Unported License at http://www.myexperiment.org/packs/183.html. It is also available for download as executable standalone java package from http://sourceforge.net/projects/np-likeness/under Academic Free License. CONCLUSIONS: Our open-source, open-data Natural-Product-Likeness scoring system can be used as a filter for metabolites in Computer Assisted Structure Elucidation or to select natural-product-like molecules from molecular libraries for the use as leads in drug discovery. |
format | Online Article Text |
id | pubmed-3436723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34367232012-09-12 Natural product-likeness score revisited: an open-source, open-data implementation Jayaseelan, Kalai Vanii Moreno, Pablo Truszkowski, Andreas Ertl, Peter Steinbeck, Christoph BMC Bioinformatics Methodology Article BACKGROUND: Natural product-likeness of a molecule, i.e. similarity of this molecule to the structure space covered by natural products, is a useful criterion in screening compound libraries and in designing new lead compounds. A closed source implementation of a natural product-likeness score, that finds its application in virtual screening, library design and compound selection, has been previously reported by one of us. In this note, we report an open-source and open-data re-implementation of this scoring system, illustrate its efficiency in ranking small molecules for natural product likeness and discuss its potential applications. RESULTS: The Natural-Product-Likeness scoring system is implemented as Taverna 2.2 workflows, and is available under Creative Commons Attribution-Share Alike 3.0 Unported License at http://www.myexperiment.org/packs/183.html. It is also available for download as executable standalone java package from http://sourceforge.net/projects/np-likeness/under Academic Free License. CONCLUSIONS: Our open-source, open-data Natural-Product-Likeness scoring system can be used as a filter for metabolites in Computer Assisted Structure Elucidation or to select natural-product-like molecules from molecular libraries for the use as leads in drug discovery. BioMed Central 2012-05-20 /pmc/articles/PMC3436723/ /pubmed/22607271 http://dx.doi.org/10.1186/1471-2105-13-106 Text en Copyright ©2012 Jayaseelan et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Jayaseelan, Kalai Vanii Moreno, Pablo Truszkowski, Andreas Ertl, Peter Steinbeck, Christoph Natural product-likeness score revisited: an open-source, open-data implementation |
title | Natural product-likeness score revisited: an open-source, open-data implementation |
title_full | Natural product-likeness score revisited: an open-source, open-data implementation |
title_fullStr | Natural product-likeness score revisited: an open-source, open-data implementation |
title_full_unstemmed | Natural product-likeness score revisited: an open-source, open-data implementation |
title_short | Natural product-likeness score revisited: an open-source, open-data implementation |
title_sort | natural product-likeness score revisited: an open-source, open-data implementation |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3436723/ https://www.ncbi.nlm.nih.gov/pubmed/22607271 http://dx.doi.org/10.1186/1471-2105-13-106 |
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