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PUBMED FOR HANDHELDS

Journal Abstract Search


1239 related items for PubMed ID: 22827747

  • 21. Cheminformatics approaches to analyze diversity in compound screening libraries.
    Akella LB, DeCaprio D.
    Curr Opin Chem Biol; 2010 Jun; 14(3):325-30. PubMed ID: 20457001
    [Abstract] [Full Text] [Related]

  • 22. [Development of antituberculous drugs: current status and future prospects].
    Tomioka H, Namba K.
    Kekkaku; 2006 Dec; 81(12):753-74. PubMed ID: 17240921
    [Abstract] [Full Text] [Related]

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

  • 24. Using computational techniques in fragment-based drug discovery.
    Desjarlais RL.
    Methods Enzymol; 2011 Sep; 493():137-55. PubMed ID: 21371590
    [Abstract] [Full Text] [Related]

  • 25. Charting, navigating, and populating natural product chemical space for drug discovery.
    Lachance H, Wetzel S, Kumar K, Waldmann H.
    J Med Chem; 2012 Jul 12; 55(13):5989-6001. PubMed ID: 22537178
    [Abstract] [Full Text] [Related]

  • 26. The devil is still in the details--driving early drug discovery forward with biophysical experimental methods.
    Lundqvist T.
    Curr Opin Drug Discov Devel; 2005 Jul 12; 8(4):513-9. PubMed ID: 16022188
    [Abstract] [Full Text] [Related]

  • 27. The holistic integration of virtual screening in drug discovery.
    Tanrikulu Y, Krüger B, Proschak E.
    Drug Discov Today; 2013 Apr 12; 18(7-8):358-64. PubMed ID: 23340112
    [Abstract] [Full Text] [Related]

  • 28. High-throughput fragment screening by affinity LC-MS.
    Duong-Thi MD, Bergström M, Fex T, Isaksson R, Ohlson S.
    J Biomol Screen; 2013 Feb 12; 18(2):160-71. PubMed ID: 22983162
    [Abstract] [Full Text] [Related]

  • 29. Enhancements of screening collections to address areas of unmet medical need: an industry perspective.
    Drewry DH, Macarron R.
    Curr Opin Chem Biol; 2010 Jun 12; 14(3):289-98. PubMed ID: 20413343
    [Abstract] [Full Text] [Related]

  • 30. Advances in microfluidics for drug discovery.
    Lombardi D, Dittrich PS.
    Expert Opin Drug Discov; 2010 Nov 12; 5(11):1081-94. PubMed ID: 22827746
    [Abstract] [Full Text] [Related]

  • 31. Complementarity between in silico and biophysical screening approaches in fragment-based lead discovery against the A(2A) adenosine receptor.
    Chen D, Ranganathan A, IJzerman AP, Siegal G, Carlsson J.
    J Chem Inf Model; 2013 Oct 28; 53(10):2701-14. PubMed ID: 23971943
    [Abstract] [Full Text] [Related]

  • 32. Hit-to-Lead: Hit Validation and Assessment.
    Hevener KE, Pesavento R, Ren J, Lee H, Ratia K, Johnson ME.
    Methods Enzymol; 2018 Oct 28; 610():265-309. PubMed ID: 30390802
    [Abstract] [Full Text] [Related]

  • 33. A natural products approach to drug discovery: probing modes of action of antitumor agents by genome-scale cDNA library screening.
    Luesch H, Abreu P.
    Methods Mol Biol; 2009 Oct 28; 572():261-77. PubMed ID: 20694698
    [Abstract] [Full Text] [Related]

  • 34. A multiplexed approach to hit finding.
    Slack M, Winkler D, Krämer J, Hesterkamp T.
    Curr Opin Drug Discov Devel; 2009 May 28; 12(3):351-7. PubMed ID: 19396736
    [Abstract] [Full Text] [Related]

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  • 36. Efficient hit-finding approaches for histone methyltransferases: the key parameters.
    Ahrens T, Bergner A, Sheppard D, Hafenbradl D.
    J Biomol Screen; 2012 Jan 28; 17(1):85-98. PubMed ID: 21990582
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