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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...

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Autores principales: Jayaseelan, Kalai Vanii, Moreno, Pablo, Truszkowski, Andreas, Ertl, Peter, Steinbeck, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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