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Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors
Object: The present study screened ideal lead natural compounds that could target and inhibit matrix metalloproteinase 9 (MMP9) protein from the ZINC database to develop drugs for clear cell renal cell carcinoma (CCRCC)-targeted treatment. Methods: Discovery Studio 4.5 was used to compare and screen...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544340/ https://www.ncbi.nlm.nih.gov/pubmed/34607974 http://dx.doi.org/10.18632/aging.203581 |
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author | Liu, Naimeng Wang, Xinhui Wu, Hao Lv, Xiaye Xie, Haoqun Guo, Zhen Wang, Jing Dou, Gaojing Zhang, Chenxi Sun, Mindan |
author_facet | Liu, Naimeng Wang, Xinhui Wu, Hao Lv, Xiaye Xie, Haoqun Guo, Zhen Wang, Jing Dou, Gaojing Zhang, Chenxi Sun, Mindan |
author_sort | Liu, Naimeng |
collection | PubMed |
description | Object: The present study screened ideal lead natural compounds that could target and inhibit matrix metalloproteinase 9 (MMP9) protein from the ZINC database to develop drugs for clear cell renal cell carcinoma (CCRCC)-targeted treatment. Methods: Discovery Studio 4.5 was used to compare and screen the ligands with the reference drug, solasodine, to identify ideal candidate compounds that could inhibit MMP9. The LibDock module was used to analyze compounds that could strongly bind to MMP9, and the top 20 compounds determined by the LibDock score were selected for further research. ADME and TOPKAT modules were used to choose the safe compounds from these 20 compounds. The selected compounds were analyzed using the CDOCKER module for molecular docking and feature mapping for pharmacophore prediction. The stability of these compound–MMP9 complexes was analyzed by molecular dynamic simulation. Cell counting kit-8, colony-forming, and scratch assays were used to analyze the anti-CCRCC effects of these ligands. Results: Strong binding to MMP9 was exhibited by 6,762 ligands. Among the top 20 compounds, sappanol and sventenin exhibited nearly undefined blood–brain barrier level and lower aqueous solubility, carcinogenicity, and hepatotoxicity than the positive control drug, solasodine. Additionally, these compounds exhibited lower potential energies with MMP9, and the ligand–MMP9 complexes were stable in the natural environment. Furthermore, sappanol inhibited CCRCC cell migration and proliferation. Conclusion: Sappanol and sventenin are safe and reliable compounds to target and inhibit MMP9. Sappanol can CCRCC cell migration and proliferation. These two compounds may give new thought to the targeted therapy for patients with CCRCC. |
format | Online Article Text |
id | pubmed-8544340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-85443402021-10-26 Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors Liu, Naimeng Wang, Xinhui Wu, Hao Lv, Xiaye Xie, Haoqun Guo, Zhen Wang, Jing Dou, Gaojing Zhang, Chenxi Sun, Mindan Aging (Albany NY) Research Paper Object: The present study screened ideal lead natural compounds that could target and inhibit matrix metalloproteinase 9 (MMP9) protein from the ZINC database to develop drugs for clear cell renal cell carcinoma (CCRCC)-targeted treatment. Methods: Discovery Studio 4.5 was used to compare and screen the ligands with the reference drug, solasodine, to identify ideal candidate compounds that could inhibit MMP9. The LibDock module was used to analyze compounds that could strongly bind to MMP9, and the top 20 compounds determined by the LibDock score were selected for further research. ADME and TOPKAT modules were used to choose the safe compounds from these 20 compounds. The selected compounds were analyzed using the CDOCKER module for molecular docking and feature mapping for pharmacophore prediction. The stability of these compound–MMP9 complexes was analyzed by molecular dynamic simulation. Cell counting kit-8, colony-forming, and scratch assays were used to analyze the anti-CCRCC effects of these ligands. Results: Strong binding to MMP9 was exhibited by 6,762 ligands. Among the top 20 compounds, sappanol and sventenin exhibited nearly undefined blood–brain barrier level and lower aqueous solubility, carcinogenicity, and hepatotoxicity than the positive control drug, solasodine. Additionally, these compounds exhibited lower potential energies with MMP9, and the ligand–MMP9 complexes were stable in the natural environment. Furthermore, sappanol inhibited CCRCC cell migration and proliferation. Conclusion: Sappanol and sventenin are safe and reliable compounds to target and inhibit MMP9. Sappanol can CCRCC cell migration and proliferation. These two compounds may give new thought to the targeted therapy for patients with CCRCC. Impact Journals 2021-10-04 /pmc/articles/PMC8544340/ /pubmed/34607974 http://dx.doi.org/10.18632/aging.203581 Text en Copyright: © 2021 Liu et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Naimeng Wang, Xinhui Wu, Hao Lv, Xiaye Xie, Haoqun Guo, Zhen Wang, Jing Dou, Gaojing Zhang, Chenxi Sun, Mindan Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title | Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title_full | Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title_fullStr | Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title_full_unstemmed | Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title_short | Computational study of effective matrix metalloproteinase 9 (MMP9) targeting natural inhibitors |
title_sort | computational study of effective matrix metalloproteinase 9 (mmp9) targeting natural inhibitors |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8544340/ https://www.ncbi.nlm.nih.gov/pubmed/34607974 http://dx.doi.org/10.18632/aging.203581 |
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