BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 16376595)

  • 1. Multiple target screening method for robust and accurate in silico ligand screening.
    Fukunishi Y; Mikami Y; Kubota S; Nakamura H
    J Mol Graph Model; 2006 Sep; 25(1):61-70. PubMed ID: 16376595
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Similarities among receptor pockets and among compounds: analysis and application to in silico ligand screening.
    Fukunishi Y; Mikami Y; Nakamura H
    J Mol Graph Model; 2005 Sep; 24(1):34-45. PubMed ID: 15950507
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An efficient in silico screening method based on the protein-compound affinity matrix and its application to the design of a focused library for cytochrome P450 (CYP) ligands.
    Fukunishi Y; Hojo S; Nakamura H
    J Chem Inf Model; 2006; 46(6):2610-22. PubMed ID: 17125201
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SeleX-CS: a new consensus scoring algorithm for hit discovery and lead optimization.
    Bar-Haim S; Aharon A; Ben-Moshe T; Marantz Y; Senderowitz H
    J Chem Inf Model; 2009 Mar; 49(3):623-33. PubMed ID: 19231809
    [TBL] [Abstract][Full Text] [Related]  

  • 5. In-silico drug screening method based on the protein-compound affinity matrix using the factor selection technique.
    Murali S; Hojo S; Tsujishita H; Nakamura H; Fukunishi Y
    Eur J Med Chem; 2007 Jul; 42(7):966-76. PubMed ID: 17307278
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improvement of protein-compound docking scores by using amino-acid sequence similarities of proteins.
    Fukunishi Y; Nakamura H
    J Chem Inf Model; 2008 Jan; 48(1):148-56. PubMed ID: 18166019
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Considerations in compound database preparation--"hidden" impact on virtual screening results.
    Knox AJ; Meegan MJ; Carta G; Lloyd DG
    J Chem Inf Model; 2005; 45(6):1908-19. PubMed ID: 16309298
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimization of high throughput virtual screening by combining shape-matching and docking methods.
    Lee HS; Choi J; Kufareva I; Abagyan R; Filikov A; Yang Y; Yoon S
    J Chem Inf Model; 2008 Mar; 48(3):489-97. PubMed ID: 18302357
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multiple active site corrections for docking and virtual screening.
    Vigers GP; Rizzi JP
    J Med Chem; 2004 Jan; 47(1):80-9. PubMed ID: 14695822
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Noise reduction method for molecular interaction energy: application to in silico drug screening and in silico target protein screening.
    Fukunishi Y; Kubota S; Nakamura H
    J Chem Inf Model; 2006; 46(5):2071-84. PubMed ID: 16995738
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Validation studies of the site-directed docking program LibDock.
    Rao SN; Head MS; Kulkarni A; LaLonde JM
    J Chem Inf Model; 2007; 47(6):2159-71. PubMed ID: 17985863
    [TBL] [Abstract][Full Text] [Related]  

  • 12. HierVLS hierarchical docking protocol for virtual ligand screening of large-molecule databases.
    Floriano WB; Vaidehi N; Zamanakos G; Goddard WA
    J Med Chem; 2004 Jan; 47(1):56-71. PubMed ID: 14695820
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Finding ligands for G protein-coupled receptors based on the protein-compound affinity matrix.
    Fukunishi Y; Kubota S; Nakamura H
    J Mol Graph Model; 2007 Jan; 25(5):633-43. PubMed ID: 16777448
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Efficient virtual screening using multiple protein conformations described as negative images of the ligand-binding site.
    Virtanen SI; Pentikäinen OT
    J Chem Inf Model; 2010 Jun; 50(6):1005-11. PubMed ID: 20504004
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A pharmacophore-based evolutionary approach for screening selective estrogen receptor modulators.
    Yang JM; Shen TW
    Proteins; 2005 May; 59(2):205-20. PubMed ID: 15726586
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Supervised scoring models with docked ligand conformations for structure-based virtual screening.
    Teramoto R; Fukunishi H
    J Chem Inf Model; 2007; 47(5):1858-67. PubMed ID: 17685604
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Selection of in silico drug screening results by using universal active probes (UAPs).
    Fukunishi Y; Ohno K; Orita M; Nakamura H
    J Chem Inf Model; 2010 Jul; 50(7):1233-40. PubMed ID: 20578712
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Scoring ligand similarity in structure-based virtual screening.
    Zavodszky MI; Rohatgi A; Van Voorst JR; Yan H; Kuhn LA
    J Mol Recognit; 2009; 22(4):280-92. PubMed ID: 19235177
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Lead finder: an approach to improve accuracy of protein-ligand docking, binding energy estimation, and virtual screening.
    Stroganov OV; Novikov FN; Stroylov VS; Kulkov V; Chilov GG
    J Chem Inf Model; 2008 Dec; 48(12):2371-85. PubMed ID: 19007114
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Structure-based virtual screening with supervised consensus scoring: evaluation of pose prediction and enrichment factors.
    Teramoto R; Fukunishi H
    J Chem Inf Model; 2008 Apr; 48(4):747-54. PubMed ID: 18318474
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.