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PUBMED FOR HANDHELDS

Journal Abstract Search


114 related items for PubMed ID: 15566306

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  • 2. Statistical tools for virtual screening.
    Krumrine JR, Maynard AT, Lerman CL.
    J Med Chem; 2005 Nov 17; 48(23):7477-81. PubMed ID: 16279807
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  • 3. Druggability indices for protein targets derived from NMR-based screening data.
    Hajduk PJ, Huth JR, Fesik SW.
    J Med Chem; 2005 Apr 07; 48(7):2518-25. PubMed ID: 15801841
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  • 4. Selecting the right compounds for screening: does Lipinski's Rule of 5 for pharmaceuticals apply to agrochemicals?
    Tice CM.
    Pest Manag Sci; 2001 Jan 07; 57(1):3-16. PubMed ID: 11455629
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  • 9. Determination and mapping of activity-specific descriptor value ranges for the identification of active compounds.
    Eckert H, Bajorath J.
    J Med Chem; 2006 Apr 06; 49(7):2284-93. PubMed ID: 16570925
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  • 16. Plate-based diversity selection based on empirical HTS data to enhance the number of hits and their chemical diversity.
    Sukuru SC, Jenkins JL, Beckwith RE, Scheiber J, Bender A, Mikhailov D, Davies JW, Glick M.
    J Biomol Screen; 2009 Jul 06; 14(6):690-9. PubMed ID: 19531667
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  • 18. Virtual screening for R-groups, including predicted pIC50 contributions, within large structural databases, using Topomer CoMFA.
    Cramer RD, Cruz P, Stahl G, Curtiss WC, Campbell B, Masek BB, Soltanshahi F.
    J Chem Inf Model; 2008 Nov 06; 48(11):2180-95. PubMed ID: 18956863
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  • 19. Novel statistical approach for primary high-throughput screening hit selection.
    Yan SF, Asatryan H, Li J, Zhou Y.
    J Chem Inf Model; 2005 Nov 06; 45(6):1784-90. PubMed ID: 16309285
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