Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies

Analyzing binary heterocyclic pyrimidinones using density functional theory (DFT) calculations and Monte Carlo (MC) simulations, as well as assessing their ADME (Absorption, Distribution, Metabolism, and Excretion) and toxicological properties is the objective of this study. A DFT calculation at the...

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Main Authors: Ahmed M. Wahba, Kamel Shoueir, Abd El-Aziz S. Fouda
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Results in Surfaces and Interfaces
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666845925000352
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author Ahmed M. Wahba
Kamel Shoueir
Abd El-Aziz S. Fouda
author_facet Ahmed M. Wahba
Kamel Shoueir
Abd El-Aziz S. Fouda
author_sort Ahmed M. Wahba
collection DOAJ
description Analyzing binary heterocyclic pyrimidinones using density functional theory (DFT) calculations and Monte Carlo (MC) simulations, as well as assessing their ADME (Absorption, Distribution, Metabolism, and Excretion) and toxicological properties is the objective of this study. A DFT calculation at the B3LYP/6-311G (d,p) level reveals key molecular descriptors, such as energy gap, electronegativity, and hardness, which show HM-1222 exhibits the highest reactivity, attributed to its favorable electronic properties, including a lower energy gap. Monte Carlo simulations demonstrate the adsorption behavior of these compounds on Cu and Al (111) surfaces, with HM-1221 and HM-1223 exhibiting strong interactions, suggesting effective corrosion inhibition. ADME analysis using the Molinspiration toolkit indicates favorable pharmacokinetic profiles for oral administration, while GUSAR software predicts low environmental toxicity levels. These findings underscore the potential of binary heterocyclic pyrimidinones as effective corrosion inhibitors and their suitability for further development in pharmaceutical applications.
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spelling doaj-art-717ec8f61b964ea9a8584703a7d0ef4d2025-08-20T02:52:58ZengElsevierResults in Surfaces and Interfaces2666-84592025-01-011810044810.1016/j.rsurfi.2025.100448Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studiesAhmed M. Wahba0Kamel Shoueir1Abd El-Aziz S. Fouda2Medical Sciences & Preparatory Year Department, North Private College for Nursing, Arar, 73312, Northern Border, Kingdom of Saudi Arabia; Basic Science Department, Higher Institute of Engineering and Technology (HIET), Elmahala Elkobra, Egypt; Corresponding author. Medical Sciences & Preparatory Year Department, North Private College for Nursing, Arar, 73312, Northern Border, Saudi Arabia.Institute of Nanoscience & Nanotechnology, Kafrelsheikh University, 33516, Kafrelsheikh, EgyptDepartment of Chemistry, Faculty of Science, Mansoura University, Mansoura City, EgyptAnalyzing binary heterocyclic pyrimidinones using density functional theory (DFT) calculations and Monte Carlo (MC) simulations, as well as assessing their ADME (Absorption, Distribution, Metabolism, and Excretion) and toxicological properties is the objective of this study. A DFT calculation at the B3LYP/6-311G (d,p) level reveals key molecular descriptors, such as energy gap, electronegativity, and hardness, which show HM-1222 exhibits the highest reactivity, attributed to its favorable electronic properties, including a lower energy gap. Monte Carlo simulations demonstrate the adsorption behavior of these compounds on Cu and Al (111) surfaces, with HM-1221 and HM-1223 exhibiting strong interactions, suggesting effective corrosion inhibition. ADME analysis using the Molinspiration toolkit indicates favorable pharmacokinetic profiles for oral administration, while GUSAR software predicts low environmental toxicity levels. These findings underscore the potential of binary heterocyclic pyrimidinones as effective corrosion inhibitors and their suitability for further development in pharmaceutical applications.http://www.sciencedirect.com/science/article/pii/S2666845925000352PyrimidinonesCorrosionComputational studiesADMEGUSAR
spellingShingle Ahmed M. Wahba
Kamel Shoueir
Abd El-Aziz S. Fouda
Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
Results in Surfaces and Interfaces
Pyrimidinones
Corrosion
Computational studies
ADME
GUSAR
title Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
title_full Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
title_fullStr Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
title_full_unstemmed Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
title_short Prediction and evaluation of pyrimidinones derivatives: DFT analysis, corrosion inhibition, and bioactivity studies
title_sort prediction and evaluation of pyrimidinones derivatives dft analysis corrosion inhibition and bioactivity studies
topic Pyrimidinones
Corrosion
Computational studies
ADME
GUSAR
url http://www.sciencedirect.com/science/article/pii/S2666845925000352
work_keys_str_mv AT ahmedmwahba predictionandevaluationofpyrimidinonesderivativesdftanalysiscorrosioninhibitionandbioactivitystudies
AT kamelshoueir predictionandevaluationofpyrimidinonesderivativesdftanalysiscorrosioninhibitionandbioactivitystudies
AT abdelazizsfouda predictionandevaluationofpyrimidinonesderivativesdftanalysiscorrosioninhibitionandbioactivitystudies