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Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives

Retention behaviour of molecules mostly depends on their chemical structure. Retention data of biologically active molecules could be an indirect relationship between their structure and biological or pharmacological activity, since the molecular structure affects their behaviour in all pharmacokine...

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Autores principales: Kovačević, Strahinja Z, Jevrić, Lidija R, Podunavac Kuzmanović, Sanja O, Lončar, Eva S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177650/
https://www.ncbi.nlm.nih.gov/pubmed/25276190
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author Kovačević, Strahinja Z
Jevrić, Lidija R
Podunavac Kuzmanović, Sanja O
Lončar, Eva S
author_facet Kovačević, Strahinja Z
Jevrić, Lidija R
Podunavac Kuzmanović, Sanja O
Lončar, Eva S
author_sort Kovačević, Strahinja Z
collection PubMed
description Retention behaviour of molecules mostly depends on their chemical structure. Retention data of biologically active molecules could be an indirect relationship between their structure and biological or pharmacological activity, since the molecular structure affects their behaviour in all pharmacokinetic stages. In the present paper, retention parameters (R(M)(0)) of biologically active 1,2-O-isopropylidene aldohexose derivatives, obtained by normal-phase thin-layer chromatography (NP TLC), were correlated with selected physicochemical properties relevant to pharmacokinetics, i.e. absorption, distribution, metabolism, and elimination (ADME) properties. Conducted correlation analysis showed high dependence between R(M)(0) and blood brain barrier penetration, skin permeability, enzyme inhibition, binding affinity to nuclear receptor ligand and G protein-coupled receptors, as well as lipophilicity (expressed as Hansh-Leo’s parameter Clog P). The statistical validity of the established polynomial dependence of the second degree between R(M)(0) and mentioned ADME properties was confirmed by standard statistical measures and leave-one-out cross-validation method. On the basis of in-silico calculated ADME properties and retention data, the similarity between studied molecules was examined using principal component analysis (PCA). The obtained results indicate the possibility of predicting ADME properties of studied compounds on the basis of their retention data (R(M)(0)). These preliminary results could be treated as guideline for selecting new 1,2-O-isopropylidene aldohexose derivatives as drug candidates.
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spelling pubmed-41776502014-09-30 Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives Kovačević, Strahinja Z Jevrić, Lidija R Podunavac Kuzmanović, Sanja O Lončar, Eva S Iran J Pharm Res Original Article Retention behaviour of molecules mostly depends on their chemical structure. Retention data of biologically active molecules could be an indirect relationship between their structure and biological or pharmacological activity, since the molecular structure affects their behaviour in all pharmacokinetic stages. In the present paper, retention parameters (R(M)(0)) of biologically active 1,2-O-isopropylidene aldohexose derivatives, obtained by normal-phase thin-layer chromatography (NP TLC), were correlated with selected physicochemical properties relevant to pharmacokinetics, i.e. absorption, distribution, metabolism, and elimination (ADME) properties. Conducted correlation analysis showed high dependence between R(M)(0) and blood brain barrier penetration, skin permeability, enzyme inhibition, binding affinity to nuclear receptor ligand and G protein-coupled receptors, as well as lipophilicity (expressed as Hansh-Leo’s parameter Clog P). The statistical validity of the established polynomial dependence of the second degree between R(M)(0) and mentioned ADME properties was confirmed by standard statistical measures and leave-one-out cross-validation method. On the basis of in-silico calculated ADME properties and retention data, the similarity between studied molecules was examined using principal component analysis (PCA). The obtained results indicate the possibility of predicting ADME properties of studied compounds on the basis of their retention data (R(M)(0)). These preliminary results could be treated as guideline for selecting new 1,2-O-isopropylidene aldohexose derivatives as drug candidates. Shaheed Beheshti University of Medical Sciences 2014 /pmc/articles/PMC4177650/ /pubmed/25276190 Text en © 2014 by School of Pharmacy, Shaheed Beheshti University of Medical Sciences and Health Services This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kovačević, Strahinja Z
Jevrić, Lidija R
Podunavac Kuzmanović, Sanja O
Lončar, Eva S
Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title_full Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title_fullStr Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title_full_unstemmed Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title_short Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
title_sort prediction of in-silico adme properties of 1,2-o-isopropylidene aldohexose derivatives
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177650/
https://www.ncbi.nlm.nih.gov/pubmed/25276190
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