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Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds
Marine trypanocidal natural products are, most often, reported with trypanocidal activity and selectivity against human cell lines. The triaging of hits requires a consideration of chemical tractability for drug development. We utilized a combined Lipinski’s rule-of-five, chemical clustering and Che...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967203/ https://www.ncbi.nlm.nih.gov/pubmed/24599097 http://dx.doi.org/10.3390/md12031169 |
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author | Feng, Yunjiang Campitelli, Marc Davis, Rohan A. Quinn, Ronald J. |
author_facet | Feng, Yunjiang Campitelli, Marc Davis, Rohan A. Quinn, Ronald J. |
author_sort | Feng, Yunjiang |
collection | PubMed |
description | Marine trypanocidal natural products are, most often, reported with trypanocidal activity and selectivity against human cell lines. The triaging of hits requires a consideration of chemical tractability for drug development. We utilized a combined Lipinski’s rule-of-five, chemical clustering and ChemGPS-NP principle analysis to analyze a set of 40 antitrypanosomal natural products for their drug like properties and chemical space. The analyses identified 16 chemical clusters with 11 well positioned within drug-like chemical space. This study demonstrated that our combined analysis can be used as an important strategy for prioritization of active marine natural products for further investigation. |
format | Online Article Text |
id | pubmed-3967203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-39672032014-03-27 Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds Feng, Yunjiang Campitelli, Marc Davis, Rohan A. Quinn, Ronald J. Mar Drugs Article Marine trypanocidal natural products are, most often, reported with trypanocidal activity and selectivity against human cell lines. The triaging of hits requires a consideration of chemical tractability for drug development. We utilized a combined Lipinski’s rule-of-five, chemical clustering and ChemGPS-NP principle analysis to analyze a set of 40 antitrypanosomal natural products for their drug like properties and chemical space. The analyses identified 16 chemical clusters with 11 well positioned within drug-like chemical space. This study demonstrated that our combined analysis can be used as an important strategy for prioritization of active marine natural products for further investigation. MDPI 2014-03-04 /pmc/articles/PMC3967203/ /pubmed/24599097 http://dx.doi.org/10.3390/md12031169 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Feng, Yunjiang Campitelli, Marc Davis, Rohan A. Quinn, Ronald J. Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title | Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title_full | Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title_fullStr | Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title_full_unstemmed | Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title_short | Chemoinformatic Analysis as a Tool for Prioritization of Trypanocidal Marine Derived Lead Compounds |
title_sort | chemoinformatic analysis as a tool for prioritization of trypanocidal marine derived lead compounds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967203/ https://www.ncbi.nlm.nih.gov/pubmed/24599097 http://dx.doi.org/10.3390/md12031169 |
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