John Markopoulos
National and Kapodistrian University of Athens
76 Papers
643 Citations
John Markopoulos is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: Quantitative structure–activity relationship & Ligand. The author has an hindex of 18, co-authored 75 publications. Previous affiliations of John Markopoulos include National Technical University of Athens.
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Papers
Prediction of intrinsic viscosity in polymer-solvent combinations using a QSPR model
Antreas Afantitis,Georgia Melagraki,Haralambos Sarimveis,Panayiotis A. Koutentis,John Markopoulos,Olga Igglessi-Markopoulou +5 more
TL;DR: In this article, a linear quantitative structure-property relationship (QSPR) model was presented for the prediction of intrinsic viscosity in polymer solutions, which was produced by using the multiple linear regression (MLR) technique on a database that consists of 65 polymer-solvent combinations involving 10 different polymer types.
70
A novel simple QSAR model for the prediction of anti-HIV activity using multiple linear regression analysis
Antreas Afantitis,Georgia Melagraki,Haralambos Sarimveis,Panayiotis A. Koutentis,John Markopoulos,Olga Igglessi-Markopoulou +5 more
TL;DR: A quantitative–structure activity relationship was obtained by applying Multiple Linear Regression Analysis to a series of 80 1-[2-hydroxyethoxy-methyl]-6-(phenylthio) thymine derivatives with significant anti-HIV activity.
Interaction of thiamine and its phosphate esters with Pt(II) and Pd(II)
TL;DR: In this article, the reactions of Thiamine·HCl (ThH), TMP and TPP have been studied in aqueous solutions (pH ∼3-4) at room temperature.
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Development and Evaluation of a QSPR Model for the Prediction of Diamagnetic Susceptibility
Antreas Afantitis,Georgia Melagraki,Haralambos Sarimveis,Panayiotis A. Koutentis,John Markopoulos,Olga Igglessi-Markopoulou +5 more
TL;DR: In this paper, a novel Multiple Linear Regression (MLR) model was developed and evaluated for the prediction of diamagnetic susceptibility using a database of 406 organic compounds involving a diverse set of chemical structures.
Investigation of substituent effect of 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides on CCR5 binding affinity using QSAR and virtual screening techniques.
Antreas Afantitis,Georgia Melagraki,Haralambos Sarimveis,Panayiotis A. Koutentis,John Markopoulos,Olga Igglessi-Markopoulou +5 more
TL;DR: A linear quantitative–structure activity relationship model is developed in this work using Multiple Linear Regression Analysis as applied to a series of 51 1-(3,3-diphenylpropyl)-piperidinyl phenylacetamides derivatives with CCR5 binding affinity, leading to a number of guanidine derivatives with significantly improved predicted activities.