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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Autores principales: Giovanni Bocci, Emanuele Carosati, Philippe Vayer, Alban Arrault, Sylvain Lozano, Gabriele Cruciani
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/deb5ede12b46457c80b0840c490ddc92
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle 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
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AT philippevayer admespaceanewtoolformedicinalchemiststoexploreadmeproperties
AT albanarrault admespaceanewtoolformedicinalchemiststoexploreadmeproperties
AT sylvainlozano admespaceanewtoolformedicinalchemiststoexploreadmeproperties
AT gabrielecruciani admespaceanewtoolformedicinalchemiststoexploreadmeproperties
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