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3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking

Combretastatin A-4 (CA-4), its analogues and their excellent antitumoral and antivascular activities, have attracted considerable interest of medicinal chemists. In this article, a docking simulation was used to identify molecules having the same binding mode as the lead compound, and 3D-QSAR models...

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Detalles Bibliográficos
Autores principales: Jin, Yinghua, Qi, Ping, Wang, Zhiwei, Shen, Qirong, Wang, Jian, Zhang, Weige, Song, Hongrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264539/
https://www.ncbi.nlm.nih.gov/pubmed/25134772
http://dx.doi.org/10.3390/molecules16086684
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author Jin, Yinghua
Qi, Ping
Wang, Zhiwei
Shen, Qirong
Wang, Jian
Zhang, Weige
Song, Hongrui
author_facet Jin, Yinghua
Qi, Ping
Wang, Zhiwei
Shen, Qirong
Wang, Jian
Zhang, Weige
Song, Hongrui
author_sort Jin, Yinghua
collection PubMed
description Combretastatin A-4 (CA-4), its analogues and their excellent antitumoral and antivascular activities, have attracted considerable interest of medicinal chemists. In this article, a docking simulation was used to identify molecules having the same binding mode as the lead compound, and 3D-QSAR models had been built by using CoMFA based on docking. As a result, these studies indicated that the QSAR models were statistically significant with high predictabilities (CoMFA model, q(2) = 0.786, r(2) = 0.988). Our models may offer help to better comprehend the structure-activity relationships for this class of compounds and also facilitate the design of novel inhibitors with good chemical diversity.
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spelling pubmed-62645392018-12-10 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking Jin, Yinghua Qi, Ping Wang, Zhiwei Shen, Qirong Wang, Jian Zhang, Weige Song, Hongrui Molecules Article Combretastatin A-4 (CA-4), its analogues and their excellent antitumoral and antivascular activities, have attracted considerable interest of medicinal chemists. In this article, a docking simulation was used to identify molecules having the same binding mode as the lead compound, and 3D-QSAR models had been built by using CoMFA based on docking. As a result, these studies indicated that the QSAR models were statistically significant with high predictabilities (CoMFA model, q(2) = 0.786, r(2) = 0.988). Our models may offer help to better comprehend the structure-activity relationships for this class of compounds and also facilitate the design of novel inhibitors with good chemical diversity. MDPI 2011-08-08 /pmc/articles/PMC6264539/ /pubmed/25134772 http://dx.doi.org/10.3390/molecules16086684 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Jin, Yinghua
Qi, Ping
Wang, Zhiwei
Shen, Qirong
Wang, Jian
Zhang, Weige
Song, Hongrui
3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title_full 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title_fullStr 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title_full_unstemmed 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title_short 3D-QSAR Study of Combretastatin A-4 Analogs Based on Molecular Docking
title_sort 3d-qsar study of combretastatin a-4 analogs based on molecular docking
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264539/
https://www.ncbi.nlm.nih.gov/pubmed/25134772
http://dx.doi.org/10.3390/molecules16086684
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