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3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model

Urease enzyme (EC 3.5.1.5) has been determined as a virulence factor in pathogenic microorganisms that are accountable for the development of different diseases in humans and animals. In continuance of our earlier study on the helicobacter pylori urease inhibition by barbituric acid derivatives, 3D-...

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Autores principales: Ul-Haq, Zaheer, Ashraf, Sajda, Al-Majid, Abdullah Mohammed, Barakat, Assem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881483/
https://www.ncbi.nlm.nih.gov/pubmed/27144563
http://dx.doi.org/10.3390/ijms17050657
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author Ul-Haq, Zaheer
Ashraf, Sajda
Al-Majid, Abdullah Mohammed
Barakat, Assem
author_facet Ul-Haq, Zaheer
Ashraf, Sajda
Al-Majid, Abdullah Mohammed
Barakat, Assem
author_sort Ul-Haq, Zaheer
collection PubMed
description Urease enzyme (EC 3.5.1.5) has been determined as a virulence factor in pathogenic microorganisms that are accountable for the development of different diseases in humans and animals. In continuance of our earlier study on the helicobacter pylori urease inhibition by barbituric acid derivatives, 3D-QSAR (three dimensional quantitative structural activity relationship) advance studies were performed by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. Different partial charges were calculated to examine their consequences on the predictive ability of the developed models. The finest developed model for CoMFA and CoMSIA were achieved by using MMFF94 charges. The developed CoMFA model gives significant results with cross-validation (q(2)) value of 0.597 and correlation coefficients (r(2)) of 0.897. Moreover, five different fields i.e., steric, electrostatic, and hydrophobic, H-bond acceptor and H-bond donors were used to produce a CoMSIA model, with q(2) and r(2) of 0.602 and 0.98, respectively. The generated models were further validated by using an external test set. Both models display good predictive power with r(2)(pred) ≥ 0.8. The analysis of obtained CoMFA and CoMSIA contour maps provided detailed insight for the promising modification of the barbituric acid derivatives with an enhanced biological activity.
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spelling pubmed-48814832016-05-27 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model Ul-Haq, Zaheer Ashraf, Sajda Al-Majid, Abdullah Mohammed Barakat, Assem Int J Mol Sci Article Urease enzyme (EC 3.5.1.5) has been determined as a virulence factor in pathogenic microorganisms that are accountable for the development of different diseases in humans and animals. In continuance of our earlier study on the helicobacter pylori urease inhibition by barbituric acid derivatives, 3D-QSAR (three dimensional quantitative structural activity relationship) advance studies were performed by Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. Different partial charges were calculated to examine their consequences on the predictive ability of the developed models. The finest developed model for CoMFA and CoMSIA were achieved by using MMFF94 charges. The developed CoMFA model gives significant results with cross-validation (q(2)) value of 0.597 and correlation coefficients (r(2)) of 0.897. Moreover, five different fields i.e., steric, electrostatic, and hydrophobic, H-bond acceptor and H-bond donors were used to produce a CoMSIA model, with q(2) and r(2) of 0.602 and 0.98, respectively. The generated models were further validated by using an external test set. Both models display good predictive power with r(2)(pred) ≥ 0.8. The analysis of obtained CoMFA and CoMSIA contour maps provided detailed insight for the promising modification of the barbituric acid derivatives with an enhanced biological activity. MDPI 2016-04-30 /pmc/articles/PMC4881483/ /pubmed/27144563 http://dx.doi.org/10.3390/ijms17050657 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ul-Haq, Zaheer
Ashraf, Sajda
Al-Majid, Abdullah Mohammed
Barakat, Assem
3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title_full 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title_fullStr 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title_full_unstemmed 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title_short 3D-QSAR Studies on Barbituric Acid Derivatives as Urease Inhibitors and the Effect of Charges on the Quality of a Model
title_sort 3d-qsar studies on barbituric acid derivatives as urease inhibitors and the effect of charges on the quality of a model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881483/
https://www.ncbi.nlm.nih.gov/pubmed/27144563
http://dx.doi.org/10.3390/ijms17050657
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