Literature DB >> 16275103

A combined approach of docking and 3D QSAR study of beta-ketoacyl-acyl carrier protein synthase III (FabH) inhibitors.

Ali Ashek1, Seung Joo Cho.   

Abstract

The enzyme FabH catalyzes the initial step of fatty acid biosynthesis via a type II fatty acid synthase. The pivotal role of this essential enzyme combined with its unique structural features and ubiquitous occurrence in bacteria has made it an attractive new target for the development of antibacterial and antiparasitic compounds. Three-dimensional quantitative structure-activity relationship (3D QSAR) studies such as comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) and docking simulations were conducted on a series of potent benzoylaminobenzoic acids. Docking studies were employed to position the inhibitors into the FabH active site to determine the probable binding conformation. A reasonable correlation between the predicated binding free energy and the inhibitory activity was found. CoMFA and CoMSIA were performed based on the docking conformations, giving q(2) of 0.637 and 0.697 for CoMFA and CoMSIA models, respectively. The predictive ability of the models was validated using a set of compounds that were not included in the training set and progressive scrambling test. Mapping the 3D QSAR models to the active site of FabH related that some important amino acid residues are responsible for protein-inhibitor interaction. These results should be applicable to the prediction of the activities of new FabH inhibitors, as well as providing structural understanding.

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Year:  2005        PMID: 16275103     DOI: 10.1016/j.bmc.2005.10.001

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  7 in total

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Authors:  J Sridhar; M Foroozesh; C L Klein Stevens
Journal:  SAR QSAR Environ Res       Date:  2011-10-17       Impact factor: 3.000

2.  Studies of H4R antagonists using 3D-QSAR, molecular docking and molecular dynamics.

Authors:  Jing Liu; Yan Li; Hui-Xiao Zhang; Shu-Wei Zhang; Ling Yang
Journal:  J Mol Model       Date:  2011-06-07       Impact factor: 1.810

3.  KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials.

Authors:  Aarti Garg; Rupinder Tewari; Gajendra P S Raghava
Journal:  BMC Bioinformatics       Date:  2010-03-11       Impact factor: 3.169

Review 4.  Novel Targets for Antimicrobials.

Authors:  Suchita Gupta; Vaishali Ravindra Undale; Kedar Lakhadive
Journal:  Turk J Pharm Sci       Date:  2020-10-30

5.  Targeting the fatty acid biosynthesis enzyme, beta-ketoacyl-acyl carrier protein synthase III (PfKASIII), in the identification of novel antimalarial agents.

Authors:  Patricia J Lee; Jayendra B Bhonsle; Heather W Gaona; Donald P Huddler; Tiffany N Heady; Mara Kreishman-Deitrick; Apurba Bhattacharjee; William F McCalmont; Lucia Gerena; Miriam Lopez-Sanchez; Norma E Roncal; Thomas H Hudson; Jacob D Johnson; Sean T Prigge; Norman C Waters
Journal:  J Med Chem       Date:  2009-02-26       Impact factor: 7.446

6.  Studies of new fused benzazepine as selective dopamine D3 receptor antagonists using 3D-QSAR, molecular docking and molecular dynamics.

Authors:  Jing Liu; Yan Li; Shuwei Zhang; Zhengtao Xiao; Chunzhi Ai
Journal:  Int J Mol Sci       Date:  2011-02-18       Impact factor: 5.923

7.  Identification of 2-aminothiazole-4-carboxylate derivatives active against Mycobacterium tuberculosis H37Rv and the beta-ketoacyl-ACP synthase mtFabH.

Authors:  Qosay Al-Balas; Nahoum G Anthony; Bilal Al-Jaidi; Amani Alnimr; Grainne Abbott; Alistair K Brown; Rebecca C Taylor; Gurdyal S Besra; Timothy D McHugh; Stephen H Gillespie; Blair F Johnston; Simon P Mackay; Geoffrey D Coxon
Journal:  PLoS One       Date:  2009-05-19       Impact factor: 3.240

  7 in total

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