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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...

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Autores principales: Dai, Yujie, Chen, Nan, Wang, Qiang, Zheng, Heng, Zhang, Xiuli, Jia, Shiru, Dong, Lilong, Feng, Dacheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shaheed Beheshti University of Medical Sciences 2012
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.
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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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