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Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists
The inhibitors of p53-HDM2 interaction are attractive molecules for the treatment of wild-type p53 tumors. In order to search more potent HDM2 inhibitors, docking operation with CDOCKER protocol in Discovery Studio 2.1 (DS2.1) and multidimensional hybrid quantitative structure-activity relationship...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shaheed Beheshti University of Medical Sciences
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813138/ https://www.ncbi.nlm.nih.gov/pubmed/24250508 |
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author | Dai, Yujie Chen, Nan Wang, Qiang Zheng, Heng Zhang, Xiuli Jia, Shiru Dong, Lilong Feng, Dacheng |
author_facet | Dai, Yujie Chen, Nan Wang, Qiang Zheng, Heng Zhang, Xiuli Jia, Shiru Dong, Lilong Feng, Dacheng |
author_sort | Dai, Yujie |
collection | PubMed |
description | The inhibitors of p53-HDM2 interaction are attractive molecules for the treatment of wild-type p53 tumors. In order to search more potent HDM2 inhibitors, docking operation with CDOCKER protocol in Discovery Studio 2.1 (DS2.1) and multidimensional hybrid quantitative structure-activity relationship (QSAR) studies through the physiochemical properties obtained from DS2.1 and E-Dragon 1.0 as descriptors, have been performed on 59 1,4-benzodiazepine- 2,5-diones which have p53-HDM2 interaction inhibitory activities. The docking results indicate that π-π interaction between the imidazole group in HIS96 and the aryl ring at 4-N of 1,4-benzodiazepine-2,5-dione may be one of the key factors for the combination of ligands with HDM2. Two QSAR models were obtained using genetic function approximation (GFA) and genetic partial least squares (G/PLS) based on the descriptors obtained from DS2.1 and E-dragon 1.0, respectively. The best model can explain 85.5% of the variance (R (2)(adj) ) while it could predict 81.7% of the variance (R( 2) (cv) ). With this model, the bioactivities of some new compounds were predicted. |
format | Online Article Text |
id | pubmed-3813138 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Shaheed Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-38131382013-11-18 Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists Dai, Yujie Chen, Nan Wang, Qiang Zheng, Heng Zhang, Xiuli Jia, Shiru Dong, Lilong Feng, Dacheng Iran J Pharm Res Original Article The inhibitors of p53-HDM2 interaction are attractive molecules for the treatment of wild-type p53 tumors. In order to search more potent HDM2 inhibitors, docking operation with CDOCKER protocol in Discovery Studio 2.1 (DS2.1) and multidimensional hybrid quantitative structure-activity relationship (QSAR) studies through the physiochemical properties obtained from DS2.1 and E-Dragon 1.0 as descriptors, have been performed on 59 1,4-benzodiazepine- 2,5-diones which have p53-HDM2 interaction inhibitory activities. The docking results indicate that π-π interaction between the imidazole group in HIS96 and the aryl ring at 4-N of 1,4-benzodiazepine-2,5-dione may be one of the key factors for the combination of ligands with HDM2. Two QSAR models were obtained using genetic function approximation (GFA) and genetic partial least squares (G/PLS) based on the descriptors obtained from DS2.1 and E-dragon 1.0, respectively. The best model can explain 85.5% of the variance (R (2)(adj) ) while it could predict 81.7% of the variance (R( 2) (cv) ). With this model, the bioactivities of some new compounds were predicted. Shaheed Beheshti University of Medical Sciences 2012 /pmc/articles/PMC3813138/ /pubmed/24250508 Text en © 2012 by School of Pharmacy, Shaheed Beheshti University of Medical Sciences and Health Services This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Dai, Yujie Chen, Nan Wang, Qiang Zheng, Heng Zhang, Xiuli Jia, Shiru Dong, Lilong Feng, Dacheng Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title | Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title_full | Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title_fullStr | Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title_full_unstemmed | Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title_short | Docking Analysis and Multidimensional Hybrid QSAR Model of 1,4-Benzodiazepine-2,5-Diones as HDM2 Antagonists |
title_sort | docking analysis and multidimensional hybrid qsar model of 1,4-benzodiazepine-2,5-diones as hdm2 antagonists |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3813138/ https://www.ncbi.nlm.nih.gov/pubmed/24250508 |
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