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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

464 related items for PubMed ID: 16408018

  • 21. High-throughput screening technologies for drug glucuronidation profiling.
    Trubetskoy O, Finel M, Trubetskoy V.
    J Pharm Pharmacol; 2008 Aug; 60(8):1061-7. PubMed ID: 18644198
    [Abstract] [Full Text] [Related]

  • 22. Predicting antitrichomonal activity: a computational screening using atom-based bilinear indices and experimental proofs.
    Marrero-Ponce Y, Meneses-Marcel A, Castillo-Garit JA, Machado-Tugores Y, Escario JA, Barrio AG, Pereira DM, Nogal-Ruiz JJ, Arán VJ, Martínez-Fernández AR, Torrens F, Rotondo R, Ibarra-Velarde F, Alvarado YJ.
    Bioorg Med Chem; 2006 Oct 01; 14(19):6502-24. PubMed ID: 16875830
    [Abstract] [Full Text] [Related]

  • 23. Importance of molecular computer modeling in anticancer drug development.
    Geromichalos GD.
    J BUON; 2007 Sep 01; 12 Suppl 1():S101-18. PubMed ID: 17935268
    [Abstract] [Full Text] [Related]

  • 24. Design and implementation of cell-based assays to model human disease.
    Jones JO, Diamond MI.
    ACS Chem Biol; 2007 Nov 20; 2(11):718-24. PubMed ID: 18030988
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  • 25. Analysis of a high-throughput screening data set using potency-scaled molecular similarity algorithms.
    Vogt I, Bajorath J.
    J Chem Inf Model; 2007 Nov 20; 47(2):367-75. PubMed ID: 17300172
    [Abstract] [Full Text] [Related]

  • 26. Rethinking molecular similarity: comparing compounds on the basis of biological activity.
    Petrone PM, Simms B, Nigsch F, Lounkine E, Kutchukian P, Cornett A, Deng Z, Davies JW, Jenkins JL, Glick M.
    ACS Chem Biol; 2012 Aug 17; 7(8):1399-409. PubMed ID: 22594495
    [Abstract] [Full Text] [Related]

  • 27. Virtual screening - what does it give us?
    Köppen H.
    Curr Opin Drug Discov Devel; 2009 May 17; 12(3):397-407. PubMed ID: 19396741
    [Abstract] [Full Text] [Related]

  • 28. Medicinal chemistry tools: making sense of HTS data.
    Kolossov E, Lemon A.
    Eur J Med Chem; 2006 Feb 17; 41(2):166-75. PubMed ID: 16368163
    [Abstract] [Full Text] [Related]

  • 29. In silico drug profiling of the human kinome based on a molecular marker for cross reactivity.
    Zhang X, Fernández A.
    Mol Pharm; 2008 Feb 17; 5(5):728-38. PubMed ID: 18620417
    [Abstract] [Full Text] [Related]

  • 30. Post-high-throughput screening analysis: an empirical compound prioritization scheme.
    Oprea TI, Bologa CG, Edwards BS, Prossnitz ER, Sklar LA.
    J Biomol Screen; 2005 Aug 17; 10(5):419-26. PubMed ID: 16093551
    [Abstract] [Full Text] [Related]

  • 31. Streamlining lead discovery by aligning in silico and high-throughput screening.
    Davies JW, Glick M, Jenkins JL.
    Curr Opin Chem Biol; 2006 Aug 17; 10(4):343-51. PubMed ID: 16822701
    [Abstract] [Full Text] [Related]

  • 32. Calculating the probability of detection for inhibitors in enzymatic or binding reactions in high-throughput screening.
    Buxser S, Vroegop S.
    Anal Biochem; 2005 May 01; 340(1):1-13. PubMed ID: 15802124
    [Abstract] [Full Text] [Related]

  • 33. New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays.
    Baell JB, Holloway GA.
    J Med Chem; 2010 Apr 08; 53(7):2719-40. PubMed ID: 20131845
    [Abstract] [Full Text] [Related]

  • 34. The role of computational methods in the identification of bioactive compounds.
    Glick M, Jacoby E.
    Curr Opin Chem Biol; 2011 Aug 08; 15(4):540-6. PubMed ID: 21411361
    [Abstract] [Full Text] [Related]

  • 35. Efficient elimination of nonstoichiometric enzyme inhibitors from HTS hit lists.
    Habig M, Blechschmidt A, Dressler S, Hess B, Patel V, Billich A, Ostermeier C, Beer D, Klumpp M.
    J Biomol Screen; 2009 Jul 08; 14(6):679-89. PubMed ID: 19470716
    [Abstract] [Full Text] [Related]

  • 36. Development of a mechanism-based assay for tissue transglutaminase--results of a high-throughput screen and discovery of inhibitors.
    Case A, Ni J, Yeh LA, Stein RL.
    Anal Biochem; 2005 Mar 15; 338(2):237-44. PubMed ID: 15745743
    [Abstract] [Full Text] [Related]

  • 37. PowerMV: a software environment for molecular viewing, descriptor generation, data analysis and hit evaluation.
    Liu K, Feng J, Young SS.
    J Chem Inf Model; 2005 Mar 15; 45(2):515-22. PubMed ID: 15807517
    [Abstract] [Full Text] [Related]

  • 38. Discovery of new inhibitors of D-alanine:D-alanine ligase by structure-based virtual screening.
    Kovac A, Konc J, Vehar B, Bostock JM, Chopra I, Janezic D, Gobec S.
    J Med Chem; 2008 Dec 11; 51(23):7442-8. PubMed ID: 19053785
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  • 39. A novel in silico approach to drug discovery via computational intelligence.
    Hecht D, Fogel GB.
    J Chem Inf Model; 2009 Apr 11; 49(4):1105-21. PubMed ID: 19348414
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  • 40. Identification of selective inhibitors for the glycosyltransferase MurG via high-throughput screening.
    Hu Y, Helm JS, Chen L, Ginsberg C, Gross B, Kraybill B, Tiyanont K, Fang X, Wu T, Walker S.
    Chem Biol; 2004 May 11; 11(5):703-11. PubMed ID: 15157881
    [Abstract] [Full Text] [Related]

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