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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2017-07-01
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Online Access: | https://doi.org/10.1038/s41598-017-06692-0 |
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doaj-deb5ede12b46457c80b0840c490ddc922020-12-08T02:06:43ZengNature Publishing GroupScientific Reports2045-23222017-07-017111310.1038/s41598-017-06692-0ADME-Space: a new tool for medicinal chemists to explore ADME propertiesGiovanni Bocci0Emanuele Carosati1Philippe Vayer2Alban Arrault3Sylvain Lozano4Gabriele Cruciani5Laboratory of Chemometrics, Department of Chemistry, Biology and Biotechnology, University of PerugiaLaboratory of Chemometrics, Department of Chemistry, Biology and Biotechnology, University of PerugiaTechnologie ServierTechnologie ServierTechnologie ServierLaboratory of Chemometrics, Department of Chemistry, Biology and Biotechnology, University of PerugiaAbstract 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.https://doi.org/10.1038/s41598-017-06692-0 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Giovanni Bocci Emanuele Carosati Philippe Vayer Alban Arrault Sylvain Lozano Gabriele Cruciani |
spellingShingle |
Giovanni Bocci Emanuele Carosati Philippe Vayer Alban Arrault Sylvain Lozano Gabriele Cruciani ADME-Space: a new tool for medicinal chemists to explore ADME properties Scientific Reports |
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 Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2017-07-01 |
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. |
url |
https://doi.org/10.1038/s41598-017-06692-0 |
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