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 *

102 related articles for article (PubMed ID: 16426036)

  • 1. Three-dimensional QSAR using the k-nearest neighbor method and its interpretation.
    Ajmani S; Jadhav K; Kulkarni SA
    J Chem Inf Model; 2006; 46(1):24-31. PubMed ID: 16426036
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Modeling of p38 mitogen-activated protein kinase inhibitors using the Catalyst HypoGen and k-nearest neighbor QSAR methods.
    Xiao Z; Varma S; Xiao YD; Tropsha A
    J Mol Graph Model; 2004 Oct; 23(2):129-38. PubMed ID: 15363455
    [TBL] [Abstract][Full Text] [Related]  

  • 3. kappa Nearest neighbors QSAR modeling as a variational problem: theory and applications.
    Itskowitz P; Tropsha A
    J Chem Inf Model; 2005; 45(3):777-85. PubMed ID: 15921467
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Novel inhibitors of human histone deacetylase (HDAC) identified by QSAR modeling of known inhibitors, virtual screening, and experimental validation.
    Tang H; Wang XS; Huang XP; Roth BL; Butler KV; Kozikowski AP; Jung M; Tropsha A
    J Chem Inf Model; 2009 Feb; 49(2):461-76. PubMed ID: 19182860
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combinatorial QSAR modeling of specificity and subtype selectivity of ligands binding to serotonin receptors 5HT1E and 5HT1F.
    Wang XS; Tang H; Golbraikh A; Tropsha A
    J Chem Inf Model; 2008 May; 48(5):997-1013. PubMed ID: 18470978
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance of (consensus) kNN QSAR for predicting estrogenic activity in a large diverse set of organic compounds.
    Asikainen AH; Ruuskanen J; Tuppurainen KA
    SAR QSAR Environ Res; 2004 Feb; 15(1):19-32. PubMed ID: 15113066
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Melting point prediction employing k-nearest neighbor algorithms and genetic parameter optimization.
    Nigsch F; Bender A; van Buuren B; Tissen J; Nigsch E; Mitchell JB
    J Chem Inf Model; 2006; 46(6):2412-22. PubMed ID: 17125183
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved CoMFA modeling by optimization of settings.
    Peterson SD; Schaal W; Karlén A
    J Chem Inf Model; 2006; 46(1):355-64. PubMed ID: 16426070
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.
    Vrooman HA; Cocosco CA; van der Lijn F; Stokking R; Ikram MA; Vernooij MW; Breteler MM; Niessen WJ
    Neuroimage; 2007 Aug; 37(1):71-81. PubMed ID: 17572111
    [TBL] [Abstract][Full Text] [Related]  

  • 10. QSAR--how good is it in practice? Comparison of descriptor sets on an unbiased cross section of corporate data sets.
    Gedeck P; Rohde B; Bartels C
    J Chem Inf Model; 2006; 46(5):1924-36. PubMed ID: 16995723
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Three-dimensional QSAR of HPPD inhibitors, PSA inhibitors, and anxiolytic agents: effect of tautomerism on the CoMFA models.
    Zou JW; Luo CC; Zhang HX; Liu HC; Jiang YJ; Yu QS
    J Mol Graph Model; 2007 Sep; 26(2):494-504. PubMed ID: 17418602
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 3D-QSAR of histone deacetylase inhibitors: hydroxamate analogues.
    Juvale DC; Kulkarni VV; Deokar HS; Wagh NK; Padhye SB; Kulkarni VM
    Org Biomol Chem; 2006 Aug; 4(15):2858-68. PubMed ID: 16855733
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Enhancement of ordinal CoMFA by ridge logistic partial least squares.
    Ohgaru T; Shimizu R; Okamoto K; Kawashita N; Kawase M; Shirakuni Y; Nishikiori R; Takagi T
    J Chem Inf Model; 2008 Apr; 48(4):910-7. PubMed ID: 18338844
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Benchmarking of QSAR models for blood-brain barrier permeation.
    Konovalov DA; Coomans D; Deconinck E; Heyden YV
    J Chem Inf Model; 2007; 47(4):1648-56. PubMed ID: 17602606
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Stochastic versus stepwise strategies for quantitative structure-activity relationship generation--how much effort may the mining for successful QSAR models take?
    Horvath D; Bonachera F; Solov'ev V; Gaudin C; Varnek A
    J Chem Inf Model; 2007; 47(3):927-39. PubMed ID: 17480052
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QSAR study of antimicrobial activity of some 3-nitrocoumarins and related compounds.
    Debeljak Z; Skrbo A; Jasprica I; Mornar A; Plecko V; Banjanac M; Medić-Sarić M
    J Chem Inf Model; 2007; 47(3):918-26. PubMed ID: 17489552
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 3D-QSAR studies on fluroquinolones derivatives as inhibitors for tuberculosis.
    Bhattacharjee A; Mylliemngap BJ; Velmurugan D
    Bioinformation; 2012; 8(8):381-7. PubMed ID: 22570519
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Local and global quantitative structure-activity relationship modeling and prediction for the baseline toxicity.
    Yuan H; Wang Y; Cheng Y
    J Chem Inf Model; 2007; 47(1):159-69. PubMed ID: 17238261
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principle.
    Zheng W; Tropsha A
    J Chem Inf Comput Sci; 2000 Jan; 40(1):185-94. PubMed ID: 10661566
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benchmarking of linear and nonlinear approaches for quantitative structure-property relationship studies of metal complexation with ionophores.
    Tetko IV; Solov'ev VP; Antonov AV; Yao X; Doucet JP; Fan B; Hoonakker F; Fourches D; Jost P; Lachiche N; Varnek A
    J Chem Inf Model; 2006; 46(2):808-19. PubMed ID: 16563012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.