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PUBMED FOR HANDHELDS

Journal Abstract Search


126 related items for PubMed ID: 21482446

  • 1. Discovery of new nanomolar peroxisome proliferator-activated receptor γ activators via elaborate ligand-based modeling.
    Al-Najjar BO, Wahab HA, Tengku Muhammad TS, Shu-Chien AC, Ahmad Noruddin NA, Taha MO.
    Eur J Med Chem; 2011 Jun; 46(6):2513-29. PubMed ID: 21482446
    [Abstract] [Full Text] [Related]

  • 2. Elaborate ligand-based modeling reveals new nanomolar heat shock protein 90α inhibitors.
    Al-Sha'er MA, Taha MO.
    J Chem Inf Model; 2010 Sep 27; 50(9):1706-23. PubMed ID: 20831219
    [Abstract] [Full Text] [Related]

  • 3. Elaborate ligand-based modeling and subsequent synthetic exploration unveil new nanomolar Ca2+/calmodulin-dependent protein kinase II inhibitory leads.
    Shahin R, Taha MO.
    Bioorg Med Chem; 2012 Jan 01; 20(1):377-400. PubMed ID: 22112539
    [Abstract] [Full Text] [Related]

  • 4. Extensive ligand-based modeling and in silico screening reveal nanomolar inducible nitric oxide synthase (iNOS) inhibitors.
    Suaifan GA, Shehadehh M, Al-Ijel H, Taha MO.
    J Mol Graph Model; 2012 Jul 01; 37():1-26. PubMed ID: 22609742
    [Abstract] [Full Text] [Related]

  • 5. Combining ligand-based pharmacophore modeling, quantitative structure-activity relationship analysis and in silico screening for the discovery of new potent hormone sensitive lipase inhibitors.
    Taha MO, Dahabiyeh LA, Bustanji Y, Zalloum H, Saleh S.
    J Med Chem; 2008 Oct 23; 51(20):6478-94. PubMed ID: 18808096
    [Abstract] [Full Text] [Related]

  • 6. Pharmacophore and QSAR modeling of estrogen receptor beta ligands and subsequent validation and in silico search for new hits.
    Taha MO, Tarairah M, Zalloum H, Abu-Sheikha G.
    J Mol Graph Model; 2010 Jan 23; 28(5):383-400. PubMed ID: 19850503
    [Abstract] [Full Text] [Related]

  • 7. Discovery of new renin inhibitory leads via sequential pharmacophore modeling, QSAR analysis, in silico screening and in vitro evaluation.
    Al-Nadaf AH, Taha MO.
    J Mol Graph Model; 2011 Apr 23; 29(6):843-64. PubMed ID: 21376648
    [Abstract] [Full Text] [Related]

  • 8. Pharmacophore modeling, quantitative structure-activity relationship analysis, and shape-complemented in silico screening allow access to novel influenza neuraminidase inhibitors.
    Abu Hammad AM, Taha MO.
    J Chem Inf Model; 2009 Apr 23; 49(4):978-96. PubMed ID: 19341295
    [Abstract] [Full Text] [Related]

  • 9. Elaborate ligand-based modeling reveal new migration inhibitory factor inhibitors.
    Al-Sha'er MA, VanPatten S, Al-Abed Y, Taha MO.
    J Mol Graph Model; 2013 May 23; 42():104-14. PubMed ID: 23603608
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  • 13. Discovery of nanomolar phosphoinositide 3-kinase gamma (PI3Kγ) inhibitors using ligand-based modeling and virtual screening followed by in vitro analysis.
    Taha MO, Al-Sha'er MA, Khanfar MA, Al-Nadaf AH.
    Eur J Med Chem; 2014 Sep 12; 84():454-65. PubMed ID: 25050878
    [Abstract] [Full Text] [Related]

  • 14. Discovery of new β-D-galactosidase inhibitors via pharmacophore modeling and QSAR analysis followed by in silico screening.
    Abdula AM, Khalaf RA, Mubarak MS, Taha MO.
    J Comput Chem; 2011 Feb 12; 32(3):463-82. PubMed ID: 20730780
    [Abstract] [Full Text] [Related]

  • 15. Elaborate ligand-based modeling coupled with multiple linear regression and k nearest neighbor QSAR analyses unveiled new nanomolar mTOR inhibitors.
    Khanfar MA, Taha MO.
    J Chem Inf Model; 2013 Oct 28; 53(10):2587-612. PubMed ID: 24050502
    [Abstract] [Full Text] [Related]

  • 16. Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.
    Shahin R, Alqtaishat S, Taha MO.
    J Comput Aided Mol Des; 2012 Feb 28; 26(2):249-66. PubMed ID: 22167443
    [Abstract] [Full Text] [Related]

  • 17. Elaborate ligand-based modeling coupled with QSAR analysis and in silico screening reveal new potent acetylcholinesterase inhibitors.
    Abuhamdah S, Habash M, Taha MO.
    J Comput Aided Mol Des; 2013 Dec 28; 27(12):1075-92. PubMed ID: 24338032
    [Abstract] [Full Text] [Related]

  • 18. Discovery of DPP IV inhibitors by pharmacophore modeling and QSAR analysis followed by in silico screening.
    Al-Masri IM, Mohammad MK, Taha MO.
    ChemMedChem; 2008 Nov 28; 3(11):1763-79. PubMed ID: 18989859
    [Abstract] [Full Text] [Related]

  • 19. Discovery of new potent human protein tyrosine phosphatase inhibitors via pharmacophore and QSAR analysis followed by in silico screening.
    Taha MO, Bustanji Y, Al-Bakri AG, Yousef AM, Zalloum WA, Al-Masri IM, Atallah N.
    J Mol Graph Model; 2007 Mar 28; 25(6):870-84. PubMed ID: 17035054
    [Abstract] [Full Text] [Related]

  • 20. Ligand-based designing, in silico screening, and biological evaluation of new potent fructose-1,6-bisphosphatase (FBPase) inhibitors.
    Tayyem RF, Zalloum HM, Elmaghrabi MR, Yousef AM, Mubarak MS.
    Eur J Med Chem; 2012 Oct 28; 56():70-95. PubMed ID: 22960695
    [Abstract] [Full Text] [Related]


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