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Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors
The anti-NS2B–NS3 proteases activities of Azadirachta indica L. were investigated via the data obtained from selected bioactive compounds from Azadirachta indica L. The work was investigated using insilico approach and the series of computational software were used to execute the task. The software...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164774/ https://www.ncbi.nlm.nih.gov/pubmed/37168603 http://dx.doi.org/10.1016/j.dib.2023.109162 |
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author | Oyebamiji, Abel Kolawole Akintelu, Sunday A. Akande, Ismail O. Aworinde, Halleluyah O. Adepegba, Oluwafunmilola A. Akintayo, Emmanuel T. Akintayo, Cecillia O. Semire, Banjo Babalola, Jonathan O. |
author_facet | Oyebamiji, Abel Kolawole Akintelu, Sunday A. Akande, Ismail O. Aworinde, Halleluyah O. Adepegba, Oluwafunmilola A. Akintayo, Emmanuel T. Akintayo, Cecillia O. Semire, Banjo Babalola, Jonathan O. |
author_sort | Oyebamiji, Abel Kolawole |
collection | PubMed |
description | The anti-NS2B–NS3 proteases activities of Azadirachta indica L. were investigated via the data obtained from selected bioactive compounds from Azadirachta indica L. The work was investigated using insilico approach and the series of computational software were used to execute the task. The software used were Spartan 14, material studio, Padel, Pymol, Autodock tool, Autodock vina and discovery studio. The obtained descriptors from 2D and 3D of the optimized compounds were screened and they were used to develop QSAR model using material studio software. Also, biological interaction between the selected bioactive compounds from Azadirachta indica L. and NS2B–NS3 proteases (PDB ID: 2fom) were accomplished using docking method and the calculated binding affinity as well as the residues involved in the interaction were reported. More so, the ADMET features for [(5S,6R,7S,8R,9S,10R,11S,12R,13S,17R)-17-(2,5-dihydroxy-2,5-dihydrofuran-3-yl)-11,12-dihydroxy-6‑methoxy-4,4,8,10,13-pentamethyl-1,16-dioxo-6,7,9,11,12,17-hexahydro-5H-cyclopenta[a]phenanthren-7-yl] 3-methylbut-2-enoate (Compound 6) and (10R,13S,14S,17S)-17-[1-(3,4-dihydroxy-5,5-dimethyloxolan-2-yl)ethyl]-4,4,10,13,14-pentamethyl-1,2,5,6,9,11,12,15,16,17-decahydrocyclopenta[a]phenanthren-3-one (compound 12) with lowest binding affinity were investigated and reported. |
format | Online Article Text |
id | pubmed-10164774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101647742023-05-09 Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors Oyebamiji, Abel Kolawole Akintelu, Sunday A. Akande, Ismail O. Aworinde, Halleluyah O. Adepegba, Oluwafunmilola A. Akintayo, Emmanuel T. Akintayo, Cecillia O. Semire, Banjo Babalola, Jonathan O. Data Brief Data Article The anti-NS2B–NS3 proteases activities of Azadirachta indica L. were investigated via the data obtained from selected bioactive compounds from Azadirachta indica L. The work was investigated using insilico approach and the series of computational software were used to execute the task. The software used were Spartan 14, material studio, Padel, Pymol, Autodock tool, Autodock vina and discovery studio. The obtained descriptors from 2D and 3D of the optimized compounds were screened and they were used to develop QSAR model using material studio software. Also, biological interaction between the selected bioactive compounds from Azadirachta indica L. and NS2B–NS3 proteases (PDB ID: 2fom) were accomplished using docking method and the calculated binding affinity as well as the residues involved in the interaction were reported. More so, the ADMET features for [(5S,6R,7S,8R,9S,10R,11S,12R,13S,17R)-17-(2,5-dihydroxy-2,5-dihydrofuran-3-yl)-11,12-dihydroxy-6‑methoxy-4,4,8,10,13-pentamethyl-1,16-dioxo-6,7,9,11,12,17-hexahydro-5H-cyclopenta[a]phenanthren-7-yl] 3-methylbut-2-enoate (Compound 6) and (10R,13S,14S,17S)-17-[1-(3,4-dihydroxy-5,5-dimethyloxolan-2-yl)ethyl]-4,4,10,13,14-pentamethyl-1,2,5,6,9,11,12,15,16,17-decahydrocyclopenta[a]phenanthren-3-one (compound 12) with lowest binding affinity were investigated and reported. Elsevier 2023-04-18 /pmc/articles/PMC10164774/ /pubmed/37168603 http://dx.doi.org/10.1016/j.dib.2023.109162 Text en © 2023 The Author(s) 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 Akintelu, Sunday A. Akande, Ismail O. Aworinde, Halleluyah O. Adepegba, Oluwafunmilola A. Akintayo, Emmanuel T. Akintayo, Cecillia O. Semire, Banjo Babalola, Jonathan O. Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title | Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title_full | Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title_fullStr | Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title_full_unstemmed | Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title_short | Dataset on biochemical inhibiting activities of selected phytochemicals in Azadirachta indica L as potential NS2B–NS3 proteases inhibitors |
title_sort | dataset on biochemical inhibiting activities of selected phytochemicals in azadirachta indica l as potential ns2b–ns3 proteases inhibitors |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164774/ https://www.ncbi.nlm.nih.gov/pubmed/37168603 http://dx.doi.org/10.1016/j.dib.2023.109162 |
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