ADME-Space: a new tool for medicinal chemists to explore ADME properties
Abstract We introduce a new chemical space for drugs and drug-like molecules, exclusively based on their in silico ADME behaviour. This ADME-Space is based on self-organizing map (SOM) applied to 26,000 molecules. Twenty accurate QSPR models, describing important ADME properties, were developed and,...
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Nature Portfolio
2017
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oai:doaj.org-article:deb5ede12b46457c80b0840c490ddc922021-12-02T16:06:11ZADME-Space: a new tool for medicinal chemists to explore ADME properties10.1038/s41598-017-06692-02045-2322https://doaj.org/article/deb5ede12b46457c80b0840c490ddc922017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06692-0https://doaj.org/toc/2045-2322Abstract We introduce a new chemical space for drugs and drug-like molecules, exclusively based on their in silico ADME behaviour. This ADME-Space is based on self-organizing map (SOM) applied to 26,000 molecules. Twenty accurate QSPR models, describing important ADME properties, were developed and, successively, used as new molecular descriptors not related to molecular structure. Applications include permeability, active transport, metabolism and bioavailability studies, but the method can be even used to discuss drug-drug interactions (DDIs) or it can be extended to additional ADME properties. Thus, the ADME-Space opens a new framework for the multi-parametric data analysis in drug discovery where all ADME behaviours of molecules are condensed in one map: it allows medicinal chemists to simultaneously monitor several ADME properties, to rapidly select optimal ADME profiles, retrieve warning on potential ADME problems and DDIs or select proper in vitro experiments.Giovanni BocciEmanuele CarosatiPhilippe VayerAlban ArraultSylvain LozanoGabriele CrucianiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-13 (2017) |
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Medicine R Science Q Giovanni Bocci Emanuele Carosati Philippe Vayer Alban Arrault Sylvain Lozano Gabriele Cruciani ADME-Space: a new tool for medicinal chemists to explore ADME properties |
description |
Abstract We introduce a new chemical space for drugs and drug-like molecules, exclusively based on their in silico ADME behaviour. This ADME-Space is based on self-organizing map (SOM) applied to 26,000 molecules. Twenty accurate QSPR models, describing important ADME properties, were developed and, successively, used as new molecular descriptors not related to molecular structure. Applications include permeability, active transport, metabolism and bioavailability studies, but the method can be even used to discuss drug-drug interactions (DDIs) or it can be extended to additional ADME properties. Thus, the ADME-Space opens a new framework for the multi-parametric data analysis in drug discovery where all ADME behaviours of molecules are condensed in one map: it allows medicinal chemists to simultaneously monitor several ADME properties, to rapidly select optimal ADME profiles, retrieve warning on potential ADME problems and DDIs or select proper in vitro experiments. |
format |
article |
author |
Giovanni Bocci Emanuele Carosati Philippe Vayer Alban Arrault Sylvain Lozano Gabriele Cruciani |
author_facet |
Giovanni Bocci Emanuele Carosati Philippe Vayer Alban Arrault Sylvain Lozano Gabriele Cruciani |
author_sort |
Giovanni Bocci |
title |
ADME-Space: a new tool for medicinal chemists to explore ADME properties |
title_short |
ADME-Space: a new tool for medicinal chemists to explore ADME properties |
title_full |
ADME-Space: a new tool for medicinal chemists to explore ADME properties |
title_fullStr |
ADME-Space: a new tool for medicinal chemists to explore ADME properties |
title_full_unstemmed |
ADME-Space: a new tool for medicinal chemists to explore ADME properties |
title_sort |
adme-space: a new tool for medicinal chemists to explore adme properties |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/deb5ede12b46457c80b0840c490ddc92 |
work_keys_str_mv |
AT giovannibocci admespaceanewtoolformedicinalchemiststoexploreadmeproperties AT emanuelecarosati admespaceanewtoolformedicinalchemiststoexploreadmeproperties AT philippevayer admespaceanewtoolformedicinalchemiststoexploreadmeproperties AT albanarrault admespaceanewtoolformedicinalchemiststoexploreadmeproperties AT sylvainlozano admespaceanewtoolformedicinalchemiststoexploreadmeproperties AT gabrielecruciani admespaceanewtoolformedicinalchemiststoexploreadmeproperties |
_version_ |
1718385119958401024 |