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Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms
The continuous havoc wrecked by tuberculosis among humans worldwide remains colossal. In this work, twenty-one (21) 2-(quinoline-4-yloxy)acetamide analogues were observed against Mycobacterium tuberculosis catalase-peroxidase (This enzyme shields bacteria from poisonous drug-like molecules) (PDB ID:...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511800/ https://www.ncbi.nlm.nih.gov/pubmed/34692949 http://dx.doi.org/10.1016/j.dib.2021.107441 |
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author | Oyebamiji, Abel Kolawole Josiah, Olubunmi Modupe Akintelu, Sunday Adewale Adeoye, Moriam Dasola Sabitu, Babatunde Olasupo Latona, Dayo Felix Esan, Akintomiwa O. Soetan, Emmanuel Ayodele Semire, Banjo |
author_facet | Oyebamiji, Abel Kolawole Josiah, Olubunmi Modupe Akintelu, Sunday Adewale Adeoye, Moriam Dasola Sabitu, Babatunde Olasupo Latona, Dayo Felix Esan, Akintomiwa O. Soetan, Emmanuel Ayodele Semire, Banjo |
author_sort | Oyebamiji, Abel Kolawole |
collection | PubMed |
description | The continuous havoc wrecked by tuberculosis among humans worldwide remains colossal. In this work, twenty-one (21) 2-(quinoline-4-yloxy)acetamide analogues were observed against Mycobacterium tuberculosis catalase-peroxidase (This enzyme shields bacteria from poisonous drug-like molecules) (PDB ID: 1sj2) using density functional theory method, QSAR study using material studio software and docking method via PyMol, AutoDock Tool, AutoDock Vina and Discovery studio 2017 as well as ADMET study via admetSAR2. Twelve descriptors were obtained from the optimized compounds which were used to develop valid QSAR model. More so, the binding affinity between 2-(quinoline-4-yloxy)acetamide analogues and Mycobacterium tuberculosis catalase-peroxidase (PDB ID: 1sj2) via docking method were reported. ADMET properties of some selected compounds were also examined. |
format | Online Article Text |
id | pubmed-8511800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-85118002021-10-21 Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms Oyebamiji, Abel Kolawole Josiah, Olubunmi Modupe Akintelu, Sunday Adewale Adeoye, Moriam Dasola Sabitu, Babatunde Olasupo Latona, Dayo Felix Esan, Akintomiwa O. Soetan, Emmanuel Ayodele Semire, Banjo Data Brief Data Article The continuous havoc wrecked by tuberculosis among humans worldwide remains colossal. In this work, twenty-one (21) 2-(quinoline-4-yloxy)acetamide analogues were observed against Mycobacterium tuberculosis catalase-peroxidase (This enzyme shields bacteria from poisonous drug-like molecules) (PDB ID: 1sj2) using density functional theory method, QSAR study using material studio software and docking method via PyMol, AutoDock Tool, AutoDock Vina and Discovery studio 2017 as well as ADMET study via admetSAR2. Twelve descriptors were obtained from the optimized compounds which were used to develop valid QSAR model. More so, the binding affinity between 2-(quinoline-4-yloxy)acetamide analogues and Mycobacterium tuberculosis catalase-peroxidase (PDB ID: 1sj2) via docking method were reported. ADMET properties of some selected compounds were also examined. Elsevier 2021-10-01 /pmc/articles/PMC8511800/ /pubmed/34692949 http://dx.doi.org/10.1016/j.dib.2021.107441 Text en © 2021 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Oyebamiji, Abel Kolawole Josiah, Olubunmi Modupe Akintelu, Sunday Adewale Adeoye, Moriam Dasola Sabitu, Babatunde Olasupo Latona, Dayo Felix Esan, Akintomiwa O. Soetan, Emmanuel Ayodele Semire, Banjo Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title | Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title_full | Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title_fullStr | Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title_full_unstemmed | Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title_short | Dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-Mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
title_sort | dataset on insightful bio-evaluation of 2-(quinoline-4-yloxy)acetamide analogues as potential anti-mycobacterium tuberculosis catalase-peroxidase agents via in silico mechanisms |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511800/ https://www.ncbi.nlm.nih.gov/pubmed/34692949 http://dx.doi.org/10.1016/j.dib.2021.107441 |
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