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Journal Abstract Search

101 related items for PubMed ID: 23603608

  • 1. 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; 42():104-14. PubMed ID: 23603608
    [Abstract] [Full Text] [Related]

  • 2. 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]

  • 3. 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]

  • 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 27; 37():1-26. PubMed ID: 22609742
    [Abstract] [Full Text] [Related]

  • 5. 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 27; 46(6):2513-29. PubMed ID: 21482446
    [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 27; 28(5):383-400. PubMed ID: 19850503
    [Abstract] [Full Text] [Related]

  • 7. Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.
    Shahin R, Alqtaishat S, Taha MO.
    J Comput Aided Mol Des; 2012 Feb 27; 26(2):249-66. PubMed ID: 22167443
    [Abstract] [Full Text] [Related]

  • 8. 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 27; 27(12):1075-92. PubMed ID: 24338032
    [Abstract] [Full Text] [Related]

  • 9. Discovery of new MurF inhibitors via pharmacophore modeling and QSAR analysis followed by in-silico screening.
    Taha MO, Atallah N, Al-Bakri AG, Paradis-Bleau C, Zalloum H, Younis KS, Levesque RC.
    Bioorg Med Chem; 2008 Feb 01; 16(3):1218-35. PubMed ID: 17988876
    [Abstract] [Full Text] [Related]

  • 10. Elaborate ligand-based pharmacophore exploration and QSAR analysis guide the synthesis of novel pyridinium-based potent beta-secretase inhibitory leads.
    Al-Nadaf A, Abu Sheikha G, Taha MO.
    Bioorg Med Chem; 2010 May 01; 18(9):3088-115. PubMed ID: 20378363
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 12. 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 23; 32(3):463-82. PubMed ID: 20730780
    [Abstract] [Full Text] [Related]

  • 13. Ligand-based assessment of factor Xa binding site flexibility via elaborate pharmacophore exploration and genetic algorithm-based QSAR modeling.
    Taha MO, Qandil AM, Zaki DD, AlDamen MA.
    Eur J Med Chem; 2005 Jul 23; 40(7):701-27. PubMed ID: 15935905
    [Abstract] [Full Text] [Related]

  • 14. 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]

  • 15. 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]

  • 16. 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]

  • 17. 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 12; 3(11):1763-79. PubMed ID: 18989859
    [Abstract] [Full Text] [Related]

  • 18. Discovery of novel urokinase plasminogen activator (uPA) inhibitors using ligand-based modeling and virtual screening followed by in vitro analysis.
    Al-Sha'er MA, Khanfar MA, Taha MO.
    J Mol Model; 2014 Jan 12; 20(1):2080. PubMed ID: 24469103
    [Abstract] [Full Text] [Related]

  • 19. Identification of novel inhibitors for Pim-1 kinase using pharmacophore modeling based on a novel method for selecting pharmacophore generation subsets.
    Shahin R, Swellmeen L, Shaheen O, Aboalhaija N, Habash M.
    J Comput Aided Mol Des; 2016 Jan 12; 30(1):39-68. PubMed ID: 26685860
    [Abstract] [Full Text] [Related]

  • 20. Discovery of new cholesteryl ester transfer protein inhibitors via ligand-based pharmacophore modeling and QSAR analysis followed by synthetic exploration.
    Abu Khalaf R, Abu Sheikha G, Bustanji Y, Taha MO.
    Eur J Med Chem; 2010 Apr 12; 45(4):1598-617. PubMed ID: 20116902
    [Abstract] [Full Text] [Related]

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