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PUBMED FOR HANDHELDS

Journal Abstract Search


285 related items for PubMed ID: 18808096

  • 1. 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]

  • 2. 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]

  • 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. 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 27; 49(4):978-96. PubMed ID: 19341295
    [Abstract] [Full Text] [Related]

  • 5. 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]

  • 6. 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]

  • 7. 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]

  • 8. 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 01; 3(11):1763-79. PubMed ID: 18989859
    [Abstract] [Full Text] [Related]

  • 9. 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 01; 25(6):870-84. PubMed ID: 17035054
    [Abstract] [Full Text] [Related]

  • 10. 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 01; 45(4):1598-617. PubMed ID: 20116902
    [Abstract] [Full Text] [Related]

  • 11. 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]

  • 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 01; 32(3):463-82. PubMed ID: 20730780
    [Abstract] [Full Text] [Related]

  • 13. 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 01; 29(6):843-64. PubMed ID: 21376648
    [Abstract] [Full Text] [Related]

  • 14. 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 01; 46(6):2513-29. PubMed ID: 21482446
    [Abstract] [Full Text] [Related]

  • 15. Structure-based approach to pharmacophore identification, in silico screening, and three-dimensional quantitative structure-activity relationship studies for inhibitors of Trypanosoma cruzi dihydrofolate reductase function.
    Schormann N, Senkovich O, Walker K, Wright DL, Anderson AC, Rosowsky A, Ananthan S, Shinkre B, Velu S, Chattopadhyay D.
    Proteins; 2008 Dec 01; 73(4):889-901. PubMed ID: 18536013
    [Abstract] [Full Text] [Related]

  • 16. Discovery of new antifungal leads via pharmacophore modeling and QSAR analysis of fungal N-myristoyl transferase inhibitors followed by in silico screening.
    Taha MO, Qandil AM, Al-Haraznah T, Khalaf RA, Zalloum H, Al-Bakri AG.
    Chem Biol Drug Des; 2011 Sep 01; 78(3):391-407. PubMed ID: 21679375
    [Abstract] [Full Text] [Related]

  • 17. Pharmacophore modeling, quantitative structure-activity relationship analysis, and in silico screening reveal potent glycogen synthase kinase-3beta inhibitory activities for cimetidine, hydroxychloroquine, and gemifloxacin.
    Taha MO, Bustanji Y, Al-Ghussein MA, Mohammad M, Zalloum H, Al-Masri IM, Atallah N.
    J Med Chem; 2008 Apr 10; 51(7):2062-77. PubMed ID: 18324764
    [Abstract] [Full Text] [Related]

  • 18. Novel inhibitors of human histone deacetylase (HDAC) identified by QSAR modeling of known inhibitors, virtual screening, and experimental validation.
    Tang H, Wang XS, Huang XP, Roth BL, Butler KV, Kozikowski AP, Jung M, Tropsha A.
    J Chem Inf Model; 2009 Feb 10; 49(2):461-76. PubMed ID: 19182860
    [Abstract] [Full Text] [Related]

  • 19. Elaborate ligand-based modeling reveal new submicromolar Rho kinase inhibitors.
    Shahin R, Alqtaishat S, Taha MO.
    J Comput Aided Mol Des; 2012 Feb 10; 26(2):249-66. PubMed ID: 22167443
    [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 10; 56():70-95. PubMed ID: 22960695
    [Abstract] [Full Text] [Related]


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