Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors
Enoyl acyl carrier protein (ACP) reductase (FabI) is a potential target for the development of antibacterial agents. Three-dimensional quantitative structure-activity relationships (3D-QSAR) for substituted formamides series of FabI inhibitors were investigated using comparative molecular field anal...
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doaj-34354c765f5043b8a82f0f6f644ac5572020-11-24T21:24:56ZengMDPI AGInternational Journal of Molecular Sciences1422-00672012-05-011366620663810.3390/ijms13066620Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) InhibitorsQidong YouKe DingKun HuangMan LvXiaoyun LuEnoyl acyl carrier protein (ACP) reductase (FabI) is a potential target for the development of antibacterial agents. Three-dimensional quantitative structure-activity relationships (3D-QSAR) for substituted formamides series of FabI inhibitors were investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. Pharmacophore and molecular docking methods were used for construction of the molecular alignments. A training set of 36 compounds was performed to create the 3D-QSAR models and their external predictivity was proven using a test set of 11 compounds. Graphical interpretation of the results revealed important structural features of the formamides related to the active site of FabI. The results may be exploited for further optimization of the design of new potent FabI inhibitors.http://www.mdpi.com/1422-0067/13/6/6620FabI inhibitorspharmacophoremolecular docking3D-QSARCoMFACoMSIA |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qidong You Ke Ding Kun Huang Man Lv Xiaoyun Lu |
spellingShingle |
Qidong You Ke Ding Kun Huang Man Lv Xiaoyun Lu Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors International Journal of Molecular Sciences FabI inhibitors pharmacophore molecular docking 3D-QSAR CoMFA CoMSIA |
author_facet |
Qidong You Ke Ding Kun Huang Man Lv Xiaoyun Lu |
author_sort |
Qidong You |
title |
Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors |
title_short |
Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors |
title_full |
Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors |
title_fullStr |
Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors |
title_full_unstemmed |
Pharmacophore and Molecular Docking Guided 3D-QSAR Study of Bacterial Enoyl-ACP Reductase (FabI) Inhibitors |
title_sort |
pharmacophore and molecular docking guided 3d-qsar study of bacterial enoyl-acp reductase (fabi) inhibitors |
publisher |
MDPI AG |
series |
International Journal of Molecular Sciences |
issn |
1422-0067 |
publishDate |
2012-05-01 |
description |
Enoyl acyl carrier protein (ACP) reductase (FabI) is a potential target for the development of antibacterial agents. Three-dimensional quantitative structure-activity relationships (3D-QSAR) for substituted formamides series of FabI inhibitors were investigated using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) techniques. Pharmacophore and molecular docking methods were used for construction of the molecular alignments. A training set of 36 compounds was performed to create the 3D-QSAR models and their external predictivity was proven using a test set of 11 compounds. Graphical interpretation of the results revealed important structural features of the formamides related to the active site of FabI. The results may be exploited for further optimization of the design of new potent FabI inhibitors. |
topic |
FabI inhibitors pharmacophore molecular docking 3D-QSAR CoMFA CoMSIA |
url |
http://www.mdpi.com/1422-0067/13/6/6620 |
work_keys_str_mv |
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1725985983334187008 |