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Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study
Object: This study was designed to screen ideal lead compounds and drug candidates with an inhibitory effect on PARP from the drug library (ZINC database). Results: Two effective natural compounds ZINC000003938684 and ZINC000014811844 were found to bind to PARP in the ZINC database, showing a higher...
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/PMC7880371/ https://www.ncbi.nlm.nih.gov/pubmed/33486472 http://dx.doi.org/10.18632/aging.103986 |
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author | Zhong, Sheng Wu, Bo Yang, Wenzhuo Ge, Junliang Zhang, Xiangheng Chen, Zhenghe Duan, Hao He, Zhenqiang Liu, Yibing Wang, Hongyu Jiang, Yuting Zhang, Zhiyun Wang, Xinhui Li, Weihang Liu, Naimeng Guo, Xiaoyu Mou, Yonggao |
author_facet | Zhong, Sheng Wu, Bo Yang, Wenzhuo Ge, Junliang Zhang, Xiangheng Chen, Zhenghe Duan, Hao He, Zhenqiang Liu, Yibing Wang, Hongyu Jiang, Yuting Zhang, Zhiyun Wang, Xinhui Li, Weihang Liu, Naimeng Guo, Xiaoyu Mou, Yonggao |
author_sort | Zhong, Sheng |
collection | PubMed |
description | Object: This study was designed to screen ideal lead compounds and drug candidates with an inhibitory effect on PARP from the drug library (ZINC database). Results: Two effective natural compounds ZINC000003938684 and ZINC000014811844 were found to bind to PARP in the ZINC database, showing a higher binding affinity. Also, they were predicted to have lower rodent carcinogenicity, Ames mutagenicity, developmental toxicity potential, and high tolerance to cytochrome P4502D6. Molecular dynamics simulation showed that ZINC000003938684 and ZINC000014811844 had a more favorable potential energies with PARP, which could exist stably in natural circumstances. Conclusion: This study suggested that ZINC000003938684 and ZINC000014811844 were ideal potential inhibitors of PARP targeting. These compounds were safe drug candidates and had important implications for the design and improvement of CMET target drugs. Methods: A battery of computer-aided virtual techniques were used to identify potential inhibitors of PARP. LibDock is used for structure-based screening followed by ADME (absorption distribution, metabolic excretion) and toxicity prediction. Molecular docking was performed to demonstrate the binding affinity mechanism between the ligand and PARP. Molecular dynamics simulations were used to evaluate the stability of ligand-receptor complexes. |
format | Online Article Text |
id | pubmed-7880371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78803712021-02-22 Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study Zhong, Sheng Wu, Bo Yang, Wenzhuo Ge, Junliang Zhang, Xiangheng Chen, Zhenghe Duan, Hao He, Zhenqiang Liu, Yibing Wang, Hongyu Jiang, Yuting Zhang, Zhiyun Wang, Xinhui Li, Weihang Liu, Naimeng Guo, Xiaoyu Mou, Yonggao Aging (Albany NY) Research Paper Object: This study was designed to screen ideal lead compounds and drug candidates with an inhibitory effect on PARP from the drug library (ZINC database). Results: Two effective natural compounds ZINC000003938684 and ZINC000014811844 were found to bind to PARP in the ZINC database, showing a higher binding affinity. Also, they were predicted to have lower rodent carcinogenicity, Ames mutagenicity, developmental toxicity potential, and high tolerance to cytochrome P4502D6. Molecular dynamics simulation showed that ZINC000003938684 and ZINC000014811844 had a more favorable potential energies with PARP, which could exist stably in natural circumstances. Conclusion: This study suggested that ZINC000003938684 and ZINC000014811844 were ideal potential inhibitors of PARP targeting. These compounds were safe drug candidates and had important implications for the design and improvement of CMET target drugs. Methods: A battery of computer-aided virtual techniques were used to identify potential inhibitors of PARP. LibDock is used for structure-based screening followed by ADME (absorption distribution, metabolic excretion) and toxicity prediction. Molecular docking was performed to demonstrate the binding affinity mechanism between the ligand and PARP. Molecular dynamics simulations were used to evaluate the stability of ligand-receptor complexes. Impact Journals 2021-01-23 /pmc/articles/PMC7880371/ /pubmed/33486472 http://dx.doi.org/10.18632/aging.103986 Text en Copyright: © 2021 Zhong 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 Zhong, Sheng Wu, Bo Yang, Wenzhuo Ge, Junliang Zhang, Xiangheng Chen, Zhenghe Duan, Hao He, Zhenqiang Liu, Yibing Wang, Hongyu Jiang, Yuting Zhang, Zhiyun Wang, Xinhui Li, Weihang Liu, Naimeng Guo, Xiaoyu Mou, Yonggao Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title | Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title_full | Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title_fullStr | Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title_full_unstemmed | Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title_short | Effective natural inhibitors targeting poly ADP-ribose polymerase by computational study |
title_sort | effective natural inhibitors targeting poly adp-ribose polymerase by computational study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880371/ https://www.ncbi.nlm.nih.gov/pubmed/33486472 http://dx.doi.org/10.18632/aging.103986 |
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