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Journal Abstract Search


922 related items for PubMed ID: 19142949

  • 1. Form follows function: shape analysis of protein cavities for receptor-based drug design.
    Weisel M, Proschak E, Kriegl JM, Schneider G.
    Proteomics; 2009 Jan; 9(2):451-9. PubMed ID: 19142949
    [Abstract] [Full Text] [Related]

  • 2. Comprehensive identification of "druggable" protein ligand binding sites.
    An J, Totrov M, Abagyan R.
    Genome Inform; 2004 Jan; 15(2):31-41. PubMed ID: 15706489
    [Abstract] [Full Text] [Related]

  • 3. Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites.
    Laurie AT, Jackson RM.
    Bioinformatics; 2005 May 01; 21(9):1908-16. PubMed ID: 15701681
    [Abstract] [Full Text] [Related]

  • 4. Computational approaches to identifying and characterizing protein binding sites for ligand design.
    Henrich S, Salo-Ahen OM, Huang B, Rippmann FF, Cruciani G, Wade RC.
    J Mol Recognit; 2010 May 01; 23(2):209-19. PubMed ID: 19746440
    [Abstract] [Full Text] [Related]

  • 5. Shape signatures: a new approach to computer-aided ligand- and receptor-based drug design.
    Zauhar RJ, Moyna G, Tian L, Li Z, Welsh WJ.
    J Med Chem; 2003 Dec 18; 46(26):5674-90. PubMed ID: 14667221
    [Abstract] [Full Text] [Related]

  • 6. Structure-based druggability assessment--identifying suitable targets for small molecule therapeutics.
    Fauman EB, Rai BK, Huang ES.
    Curr Opin Chem Biol; 2011 Aug 18; 15(4):463-8. PubMed ID: 21704549
    [Abstract] [Full Text] [Related]

  • 7. SuperStar: improved knowledge-based interaction fields for protein binding sites.
    Verdonk ML, Cole JC, Watson P, Gillet V, Willett P.
    J Mol Biol; 2001 Mar 30; 307(3):841-59. PubMed ID: 11273705
    [Abstract] [Full Text] [Related]

  • 8. Understanding and predicting druggability. A high-throughput method for detection of drug binding sites.
    Schmidtke P, Barril X.
    J Med Chem; 2010 Aug 12; 53(15):5858-67. PubMed ID: 20684613
    [Abstract] [Full Text] [Related]

  • 9. Structure-based maximal affinity model predicts small-molecule druggability.
    Cheng AC, Coleman RG, Smyth KT, Cao Q, Soulard P, Caffrey DR, Salzberg AC, Huang ES.
    Nat Biotechnol; 2007 Jan 12; 25(1):71-5. PubMed ID: 17211405
    [Abstract] [Full Text] [Related]

  • 10. Druggable pockets and binding site centric chemical space: a paradigm shift in drug discovery.
    Pérot S, Sperandio O, Miteva MA, Camproux AC, Villoutreix BO.
    Drug Discov Today; 2010 Aug 12; 15(15-16):656-67. PubMed ID: 20685398
    [Abstract] [Full Text] [Related]

  • 11. Drug-like density: a method of quantifying the "bindability" of a protein target based on a very large set of pockets and drug-like ligands from the Protein Data Bank.
    Sheridan RP, Maiorov VN, Holloway MK, Cornell WD, Gao YD.
    J Chem Inf Model; 2010 Nov 22; 50(11):2029-40. PubMed ID: 20977231
    [Abstract] [Full Text] [Related]

  • 12. Architectural repertoire of ligand-binding pockets on protein surfaces.
    Weisel M, Kriegl JM, Schneider G.
    Chembiochem; 2010 Mar 01; 11(4):556-63. PubMed ID: 20069621
    [Abstract] [Full Text] [Related]

  • 13. Structure-based identification of small molecule binding sites using a free energy model.
    Coleman RG, Salzberg AC, Cheng AC.
    J Chem Inf Model; 2006 Mar 01; 46(6):2631-7. PubMed ID: 17125203
    [Abstract] [Full Text] [Related]

  • 14. Self-organizing fuzzy graphs for structure-based comparison of protein pockets.
    Reisen F, Weisel M, Kriegl JM, Schneider G.
    J Proteome Res; 2010 Dec 03; 9(12):6498-510. PubMed ID: 20883038
    [Abstract] [Full Text] [Related]

  • 15. Characterization of local geometry of protein surfaces with the visibility criterion.
    Li B, Turuvekere S, Agrawal M, La D, Ramani K, Kihara D.
    Proteins; 2008 May 01; 71(2):670-83. PubMed ID: 17975834
    [Abstract] [Full Text] [Related]

  • 16. The automatic search for ligand binding sites in proteins of known three-dimensional structure using only geometric criteria.
    Peters KP, Fauck J, Frömmel C.
    J Mol Biol; 1996 Feb 16; 256(1):201-13. PubMed ID: 8609611
    [Abstract] [Full Text] [Related]

  • 17. A method for localizing ligand binding pockets in protein structures.
    Glaser F, Morris RJ, Najmanovich RJ, Laskowski RA, Thornton JM.
    Proteins; 2006 Feb 01; 62(2):479-88. PubMed ID: 16304646
    [Abstract] [Full Text] [Related]

  • 18. CORCEMA refinement of the bound ligand conformation within the protein binding pocket in reversibly forming weak complexes using STD-NMR intensities.
    Jayalakshmi V, Rama Krishna N.
    J Magn Reson; 2004 May 01; 168(1):36-45. PubMed ID: 15082247
    [Abstract] [Full Text] [Related]

  • 19. Shape variation in protein binding pockets and their ligands.
    Kahraman A, Morris RJ, Laskowski RA, Thornton JM.
    J Mol Biol; 2007 Apr 20; 368(1):283-301. PubMed ID: 17337005
    [Abstract] [Full Text] [Related]

  • 20. Predicting protein druggability.
    Hajduk PJ, Huth JR, Tse C.
    Drug Discov Today; 2005 Dec 20; 10(23-24):1675-82. PubMed ID: 16376828
    [Abstract] [Full Text] [Related]


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