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 *

211 related articles for article (PubMed ID: 26193243)

  • 61. Molecular fingerprint similarity search in virtual screening.
    Cereto-Massagué A; Ojeda MJ; Valls C; Mulero M; Garcia-Vallvé S; Pujadas G
    Methods; 2015 Jan; 71():58-63. PubMed ID: 25132639
    [TBL] [Abstract][Full Text] [Related]  

  • 62. Extended template-based modeling and evaluation method using consensus of binding mode of GPCRs for virtual screening.
    Sato M; Hirokawa T
    J Chem Inf Model; 2014 Nov; 54(11):3153-61. PubMed ID: 25350693
    [TBL] [Abstract][Full Text] [Related]  

  • 63. An efficient multistep ligand-based virtual screening approach for GPR40 agonists.
    Yao S; Lu T; Zhou Z; Liu H; Yuan H; Ran T; Lu S; Zhang Y; Ke Z; Xu J; Xiong X; Chen Y
    Mol Divers; 2014 Feb; 18(1):183-93. PubMed ID: 24307222
    [TBL] [Abstract][Full Text] [Related]  

  • 64. Receptor-based pharmacophore and pharmacophore key descriptors for virtual screening and QSAR modeling.
    Dong X; Ebalunode JO; Yang SY; Zheng W
    Curr Comput Aided Drug Des; 2011 Sep; 7(3):181-9. PubMed ID: 21726192
    [TBL] [Abstract][Full Text] [Related]  

  • 65. Enabling the hypothesis-driven prioritization of ligand candidates in big databases: Screenlamp and its application to GPCR inhibitor discovery for invasive species control.
    Raschka S; Scott AM; Liu N; Gunturu S; Huertas M; Li W; Kuhn LA
    J Comput Aided Mol Des; 2018 Mar; 32(3):415-433. PubMed ID: 29383467
    [TBL] [Abstract][Full Text] [Related]  

  • 66. USR-VS: a web server for large-scale prospective virtual screening using ultrafast shape recognition techniques.
    Li H; Leung KS; Wong MH; Ballester PJ
    Nucleic Acids Res; 2016 Jul; 44(W1):W436-41. PubMed ID: 27106057
    [TBL] [Abstract][Full Text] [Related]  

  • 67. Structure-based drug screening and ligand-based drug screening with machine learning.
    Fukunishi Y
    Comb Chem High Throughput Screen; 2009 May; 12(4):397-408. PubMed ID: 19442067
    [TBL] [Abstract][Full Text] [Related]  

  • 68. Combined Approach of Patch-Surfer and PL-PatchSurfer for Protein-Ligand Binding Prediction in CSAR 2013 and 2014.
    Zhu X; Shin WH; Kim H; Kihara D
    J Chem Inf Model; 2016 Jun; 56(6):1088-99. PubMed ID: 26691286
    [TBL] [Abstract][Full Text] [Related]  

  • 69. Chemometric analysis of ligand receptor complementarity: identifying Complementary Ligands Based on Receptor Information (CoLiBRI).
    Oloff S; Zhang S; Sukumar N; Breneman C; Tropsha A
    J Chem Inf Model; 2006; 46(2):844-51. PubMed ID: 16563016
    [TBL] [Abstract][Full Text] [Related]  

  • 70. ACFIS: a web server for fragment-based drug discovery.
    Hao GF; Jiang W; Ye YN; Wu FX; Zhu XL; Guo FB; Yang GF
    Nucleic Acids Res; 2016 Jul; 44(W1):W550-6. PubMed ID: 27150808
    [TBL] [Abstract][Full Text] [Related]  

  • 71. Exploring polypharmacology using a ROCS-based target fishing approach.
    AbdulHameed MD; Chaudhury S; Singh N; Sun H; Wallqvist A; Tawa GJ
    J Chem Inf Model; 2012 Feb; 52(2):492-505. PubMed ID: 22196353
    [TBL] [Abstract][Full Text] [Related]  

  • 72. EViS: An Enhanced Virtual Screening Approach Based on Pocket-Ligand Similarity.
    Zhang W; Huang J
    J Chem Inf Model; 2022 Feb; 62(3):498-510. PubMed ID: 35084171
    [TBL] [Abstract][Full Text] [Related]  

  • 73. Comprehensive comparison of ligand-based virtual screening tools against the DUD data set reveals limitations of current 3D methods.
    Venkatraman V; Pérez-Nueno VI; Mavridis L; Ritchie DW
    J Chem Inf Model; 2010 Dec; 50(12):2079-93. PubMed ID: 21090728
    [TBL] [Abstract][Full Text] [Related]  

  • 74. Molecular descriptors in chemoinformatics, computational combinatorial chemistry, and virtual screening.
    Xue L; Bajorath J
    Comb Chem High Throughput Screen; 2000 Oct; 3(5):363-72. PubMed ID: 11032954
    [TBL] [Abstract][Full Text] [Related]  

  • 75. Consensus queries in ligand-based virtual screening experiments.
    Berenger F; Vu O; Meiler J
    J Cheminform; 2017 Nov; 9(1):60. PubMed ID: 29185065
    [TBL] [Abstract][Full Text] [Related]  

  • 76. Comparative analysis of machine learning methods in ligand-based virtual screening of large compound libraries.
    Ma XH; Jia J; Zhu F; Xue Y; Li ZR; Chen YZ
    Comb Chem High Throughput Screen; 2009 May; 12(4):344-57. PubMed ID: 19442064
    [TBL] [Abstract][Full Text] [Related]  

  • 77. Systematic Comparison of the Performance of Different 2D and 3D Ligand-Based Virtual Screening Methodologies to Discover Anticonvulsant Drugs.
    Di Ianni ME; Gantner ME; Ruiz ME; Castro EA; Bruno-Blanch LE; Talevi A
    Comb Chem High Throughput Screen; 2015; 18(4):387-98. PubMed ID: 25747440
    [TBL] [Abstract][Full Text] [Related]  

  • 78. Ligand expansion in ligand-based virtual screening using relevance feedback.
    Abdo A; Saeed F; Hamza H; Ahmed A; Salim N
    J Comput Aided Mol Des; 2012 Mar; 26(3):279-87. PubMed ID: 22249773
    [TBL] [Abstract][Full Text] [Related]  

  • 79. Computational protein-ligand docking and virtual drug screening with the AutoDock suite.
    Forli S; Huey R; Pique ME; Sanner MF; Goodsell DS; Olson AJ
    Nat Protoc; 2016 May; 11(5):905-19. PubMed ID: 27077332
    [TBL] [Abstract][Full Text] [Related]  

  • 80. Performance of machine learning methods for ligand-based virtual screening.
    Plewczynski D; Spieser SA; Koch U
    Comb Chem High Throughput Screen; 2009 May; 12(4):358-68. PubMed ID: 19442065
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.