These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 27924269)

  • 1. Importance of consensus region of multiple-ligand templates in a virtual screening method.
    Okuno T; Kato K; Minami S; Terada TP; Sasai M; Chikenji G
    Biophys Physicobiol; 2016; 13():149-156. PubMed ID: 27924269
    [TBL] [Abstract][Full Text] [Related]  

  • 2. VS-APPLE: A Virtual Screening Algorithm Using Promiscuous Protein-Ligand Complexes.
    Okuno T; Kato K; Terada TP; Sasai M; Chikenji G
    J Chem Inf Model; 2015 Jun; 55(6):1108-19. PubMed ID: 26057716
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stalis: A Computational Method for Template-Based Ab Initio Ligand Design.
    Lee HS; Im W
    J Comput Chem; 2019 Jun; 40(17):1622-1632. PubMed ID: 30829435
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PoLi: A Virtual Screening Pipeline Based on Template Pocket and Ligand Similarity.
    Roy A; Srinivasan B; Skolnick J
    J Chem Inf Model; 2015 Aug; 55(8):1757-70. PubMed ID: 26225536
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using consensus-shape clustering to identify promiscuous ligands and protein targets and to choose the right query for shape-based virtual screening.
    Pérez-Nueno VI; Ritchie DW
    J Chem Inf Model; 2011 Jun; 51(6):1233-48. PubMed ID: 21604699
    [TBL] [Abstract][Full Text] [Related]  

  • 6. LigMatch: a multiple structure-based ligand matching method for 3D virtual screening.
    Kinnings SL; Jackson RM
    J Chem Inf Model; 2009 Sep; 49(9):2056-66. PubMed ID: 19685924
    [TBL] [Abstract][Full Text] [Related]  

  • 7. NMR-based screening methods for lead discovery.
    Vogtherr M; Fiebig K
    EXS; 2003; (93):183-202. PubMed ID: 12613177
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying and characterizing promiscuous targets: implications for virtual screening.
    Pérez-Nueno VI; Ritchie DW
    Expert Opin Drug Discov; 2012 Jan; 7(1):1-17. PubMed ID: 22468890
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SPOT-Ligand: Fast and effective structure-based virtual screening by binding homology search according to ligand and receptor similarity.
    Yang Y; Zhan J; Zhou Y
    J Comput Chem; 2016 Jul; 37(18):1734-9. PubMed ID: 27074979
    [TBL] [Abstract][Full Text] [Related]  

  • 10. LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening.
    Hu J; Liu Z; Yu DJ; Zhang Y
    Bioinformatics; 2018 Jul; 34(13):2209-2218. PubMed ID: 29462237
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improving virtual screening performance against conformational variations of receptors by shape matching with ligand binding pocket.
    Lee HS; Lee CS; Kim JS; Kim DH; Choe H
    J Chem Inf Model; 2009 Nov; 49(11):2419-28. PubMed ID: 19852439
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ligand-optimized homology models of D₁ and D₂ dopamine receptors: application for virtual screening.
    Kołaczkowski M; Bucki A; Feder M; Pawłowski M
    J Chem Inf Model; 2013 Mar; 53(3):638-48. PubMed ID: 23398329
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Molecular Dynamics-Shared Pharmacophore Approach to Boost Early-Enrichment Virtual Screening: A Case Study on Peroxisome Proliferator-Activated Receptor α.
    Perricone U; Wieder M; Seidel T; Langer T; Padova A; Almerico AM; Tutone M
    ChemMedChem; 2017 Aug; 12(16):1399-1407. PubMed ID: 28135036
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improving virtual screening of G protein-coupled receptors via ligand-directed modeling.
    Coudrat T; Simms J; Christopoulos A; Wootten D; Sexton PM
    PLoS Comput Biol; 2017 Nov; 13(11):e1005819. PubMed ID: 29131821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimal strategies for virtual screening of induced-fit and flexible target in the 2015 D3R Grand Challenge.
    Ye Z; Baumgartner MP; Wingert BM; Camacho CJ
    J Comput Aided Mol Des; 2016 Sep; 30(9):695-706. PubMed ID: 27573981
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Implications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical function.
    Skolnick J; Gao M; Roy A; Srinivasan B; Zhou H
    Bioorg Med Chem Lett; 2015 Mar; 25(6):1163-70. PubMed ID: 25690787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Structural features embedded in G protein-coupled receptor co-crystal structures are key to their success in virtual screening.
    Coudrat T; Christopoulos A; Sexton PM; Wootten D
    PLoS One; 2017; 12(4):e0174719. PubMed ID: 28380046
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ultra-High-Throughput Structure-Based Virtual Screening for Small-Molecule Inhibitors of Protein-Protein Interactions.
    Johnson DK; Karanicolas J
    J Chem Inf Model; 2016 Feb; 56(2):399-411. PubMed ID: 26726827
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Anatomy of protein pockets and cavities: measurement of binding site geometry and implications for ligand design.
    Liang J; Edelsbrunner H; Woodward C
    Protein Sci; 1998 Sep; 7(9):1884-97. PubMed ID: 9761470
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Protein flexibility in ligand docking and virtual screening to protein kinases.
    Cavasotto CN; Abagyan RA
    J Mol Biol; 2004 Mar; 337(1):209-25. PubMed ID: 15001363
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.