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Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach

Urease is an important enzyme both in agriculture and medicine research. Strategies based on urease inhibition is critically considered as the first line treatment of infections caused by urease producing bacteria. Since, urease possess agro-chemical and medicinal importance, thus, it is necessary t...

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Autores principales: Wadood, Abdul, Riaz, Muhammad, Mulk, Amir ul, Khan, Momin, Haleem, Sobia Ahsan, Shams, Sulaiman, Gul, Sahib, Ahmed, Ayaz, Qasim, Muhammad, Ali, Farman, Ul-Haq, Zaheer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070040/
https://www.ncbi.nlm.nih.gov/pubmed/24966538
http://dx.doi.org/10.6026/97320630010299
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author Wadood, Abdul
Riaz, Muhammad
Mulk, Amir ul
Khan, Momin
Haleem, Sobia Ahsan
Shams, Sulaiman
Gul, Sahib
Ahmed, Ayaz
Qasim, Muhammad
Ali, Farman
Ul-Haq, Zaheer
author_facet Wadood, Abdul
Riaz, Muhammad
Mulk, Amir ul
Khan, Momin
Haleem, Sobia Ahsan
Shams, Sulaiman
Gul, Sahib
Ahmed, Ayaz
Qasim, Muhammad
Ali, Farman
Ul-Haq, Zaheer
author_sort Wadood, Abdul
collection PubMed
description Urease is an important enzyme both in agriculture and medicine research. Strategies based on urease inhibition is critically considered as the first line treatment of infections caused by urease producing bacteria. Since, urease possess agro-chemical and medicinal importance, thus, it is necessary to search for the novel compounds capable of inhibiting this enzyme. Several computational methods were employed to design novel and potent urease inhibitors in this work. First docking simulations of known compounds consists of a set of arylidine barbiturates (termed as reference) were performed on the Bacillus pasteurii (BP) urease. Subsequently, two fold strategies were used to design new compounds against urease. Stage 1 comprised of the energy minimization of enzyme-ligand complexes of reference compounds and the accurate prediction of the molecular mechanics generalized born (MMGB) interaction energies. In the second stage, new urease inhibitors were then designed by the substitution of different groups consecutively in the aryl ring of the thiobarbiturates and N, N-diethyl thiobarbiturates of the reference ligands.. The enzyme-ligand complexes with lowest interaction energies or energies close to the calculated interaction energies of the reference molecules, were selected for the consequent chemical manipulation. This was followed by the substitution of different groups on the 2 and 5 positions of the aryl ring. As a result, several new and potent diethyl thiobarbiturates were predicted as urease inhibitors. This approach reflects a logical progression for early stage drug discovery that can be exploited to successfully identify potential drug candidates.
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spelling pubmed-40700402014-06-25 Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach Wadood, Abdul Riaz, Muhammad Mulk, Amir ul Khan, Momin Haleem, Sobia Ahsan Shams, Sulaiman Gul, Sahib Ahmed, Ayaz Qasim, Muhammad Ali, Farman Ul-Haq, Zaheer Bioinformation Hypothesis Urease is an important enzyme both in agriculture and medicine research. Strategies based on urease inhibition is critically considered as the first line treatment of infections caused by urease producing bacteria. Since, urease possess agro-chemical and medicinal importance, thus, it is necessary to search for the novel compounds capable of inhibiting this enzyme. Several computational methods were employed to design novel and potent urease inhibitors in this work. First docking simulations of known compounds consists of a set of arylidine barbiturates (termed as reference) were performed on the Bacillus pasteurii (BP) urease. Subsequently, two fold strategies were used to design new compounds against urease. Stage 1 comprised of the energy minimization of enzyme-ligand complexes of reference compounds and the accurate prediction of the molecular mechanics generalized born (MMGB) interaction energies. In the second stage, new urease inhibitors were then designed by the substitution of different groups consecutively in the aryl ring of the thiobarbiturates and N, N-diethyl thiobarbiturates of the reference ligands.. The enzyme-ligand complexes with lowest interaction energies or energies close to the calculated interaction energies of the reference molecules, were selected for the consequent chemical manipulation. This was followed by the substitution of different groups on the 2 and 5 positions of the aryl ring. As a result, several new and potent diethyl thiobarbiturates were predicted as urease inhibitors. This approach reflects a logical progression for early stage drug discovery that can be exploited to successfully identify potential drug candidates. Biomedical Informatics 2014-05-20 /pmc/articles/PMC4070040/ /pubmed/24966538 http://dx.doi.org/10.6026/97320630010299 Text en © 2014 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Wadood, Abdul
Riaz, Muhammad
Mulk, Amir ul
Khan, Momin
Haleem, Sobia Ahsan
Shams, Sulaiman
Gul, Sahib
Ahmed, Ayaz
Qasim, Muhammad
Ali, Farman
Ul-Haq, Zaheer
Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title_full Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title_fullStr Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title_full_unstemmed Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title_short Design of New and Potent Diethyl Thiobarbiturates as Urease Inhibitors: A Computational Approach
title_sort design of new and potent diethyl thiobarbiturates as urease inhibitors: a computational approach
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070040/
https://www.ncbi.nlm.nih.gov/pubmed/24966538
http://dx.doi.org/10.6026/97320630010299
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