Title of article :
Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives
Author/Authors :
Kovačević, Strahinja Z University of Novi Sad - Faculty of Technology - Department of Applied and Engineering Chemistry - Bulevar cara Lazara 1, 21000 Novi Sad, Serbia , Jevrić, Lidija R University of Novi Sad - Faculty of Technology - Department of Applied and Engineering Chemistry - Bulevar cara Lazara 1, 21000 Novi Sad, Serbia , Podunavac Kuzmanović, Sanja O University of Novi Sad - Faculty of Technology - Department of Applied and Engineering Chemistry - Bulevar cara Lazara 1, 21000 Novi Sad, Serbia , Lončar, Eva S University of Novi Sad - Faculty of Technology - Department of Applied and Engineering Chemistry - Bulevar cara Lazara 1, 21000 Novi Sad, Serbia
Abstract :
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 (RM 0) of biologically active 1,2-O-isopropylidene aldohexose derivatives, obtained by normalphase 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 RM 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 RM 0 and mentioned ADME properties was confirmed by standard statistical measures and leave-one-out crossvalidation
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 (RM
0). These preliminary results could be treated as guideline for selecting new 1,2-O-isopropylidene aldohexose derivatives as drug candidates.
Keywords :
1,2-O-isopropylidene derivatives of aldohexoses , In-silico , ADME , PCA , Polynomial regression
Journal title :
Astroparticle Physics