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 *

196 related articles for article (PubMed ID: 17531825)

  • 1. QSAR study of angiotensin II antagonists using robust boosting partial least squares regression.
    Zhou YP; Cai CB; Huan S; Jiang JH; Wu HL; Shen GL; Yu RQ
    Anal Chim Acta; 2007 Jun; 593(1):68-74. PubMed ID: 17531825
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimized block-wise variable combination by particle swarm optimization for partial least squares modeling in quantitative structure-activity relationship studies.
    Lin WQ; Jiang JH; Shen Q; Shen GL; Yu RQ
    J Chem Inf Model; 2005; 45(2):486-93. PubMed ID: 15807514
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A robust boosting regression tree with applications in quantitative structure-activity relationship studies of organic compounds.
    Jiao J; Tan SM; Luo RM; Zhou YP
    J Chem Inf Model; 2011 Apr; 51(4):816-28. PubMed ID: 21417261
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Boosting partial least squares.
    Zhang MH; Xu QS; Massart DL
    Anal Chem; 2005 Mar; 77(5):1423-31. PubMed ID: 15732927
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Structural insight on the activity of type 1 angiotensin II peptide antagonists using MD simulations.
    Preto MA; Melo A; Rodrigues LM; Maia HL; Ramos MJ
    J Phys Chem B; 2008 Oct; 112(43):13620-8. PubMed ID: 18834172
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predictive QSAR modeling of HIV reverse transcriptase inhibitor TIBO derivatives.
    Mandal AS; Roy K
    Eur J Med Chem; 2009 Apr; 44(4):1509-24. PubMed ID: 18760864
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A 3D-QSAR of angiotensin II (AT1) receptor antagonists based on receptor surface analysis.
    Datar PA; Desai PV; Coutinho EC
    J Chem Inf Comput Sci; 2004; 44(1):210-20. PubMed ID: 14741030
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Quantitative structure-activity relationship modeling of dopamine D(1) antagonists using comparative molecular field analysis, genetic algorithms-partial least-squares, and K nearest neighbor methods.
    Hoffman B; Cho SJ; Zheng W; Wyrick S; Nichols DE; Mailman RB; Tropsha A
    J Med Chem; 1999 Aug; 42(17):3217-26. PubMed ID: 10464009
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis.
    Shao X; Bian X; Cai W
    Anal Chim Acta; 2010 May; 666(1-2):32-7. PubMed ID: 20433961
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modified particle swarm optimization algorithm for variable selection in MLR and PLS modeling: QSAR studies of antagonism of angiotensin II antagonists.
    Shen Q; Jiang JH; Jiao CX; Shen GL; Yu RQ
    Eur J Pharm Sci; 2004 Jun; 22(2-3):145-52. PubMed ID: 15158899
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Partial least squares modeling and genetic algorithm optimization in quantitative structure-activity relationships.
    Hasegawa K; Funatsu K
    SAR QSAR Environ Res; 2000; 11(3-4):189-209. PubMed ID: 10969871
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improvement of multivariate image analysis applied to quantitative structure-activity relationship (QSAR) analysis by using wavelet-principal component analysis ranking variable selection and least-squares support vector machine regression: QSAR study of checkpoint kinase WEE1 inhibitors.
    Cormanich RA; Goodarzi M; Freitas MP
    Chem Biol Drug Des; 2009 Feb; 73(2):244-52. PubMed ID: 19207427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. On the physical interpretation of QSAR models.
    Stanton DT
    J Chem Inf Comput Sci; 2003; 43(5):1423-33. PubMed ID: 14502475
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Jackknife-based selection of Gram-Schmidt orthogonalized descriptors in QSAR.
    Kompany-Zareh M; Omidikia N
    J Chem Inf Model; 2010 Dec; 50(12):2055-66. PubMed ID: 21069957
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Performance of multicomponent self-organizing regression (MCSOR) in QSAR, QSPR, and multivariate calibration: comparison with partial least-squares (PLS) and validation with large external data sets.
    Tuppurainen K; Korhonen SP; Ruuskanen J
    SAR QSAR Environ Res; 2006 Dec; 17(6):549-61. PubMed ID: 17162386
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mode of action-based local QSAR modeling for the prediction of acute toxicity in the fathead minnow.
    Yuan H; Wang YY; Cheng YY
    J Mol Graph Model; 2007 Jul; 26(1):327-35. PubMed ID: 17224289
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A high dimensional QSAR study on the aldose reductase inhibitory activity of some flavones: topological descriptors in modeling the activity.
    Prabhakar YS; Gupta MK; Roy N; Venkateswarlu Y
    J Chem Inf Model; 2006; 46(1):86-92. PubMed ID: 16426043
    [TBL] [Abstract][Full Text] [Related]  

  • 18. QSTR with extended topochemical atom (ETA) indices. 9. Comparative QSAR for the toxicity of diverse functional organic compounds to Chlorella vulgaris using chemometric tools.
    Roy K; Ghosh G
    Chemosphere; 2007 Nov; 70(1):1-12. PubMed ID: 17765287
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring QSAR for substituted 2-sulfonyl-phenyl-indol derivatives as potent and selective COX-2 inhibitors using different chemometrics tools.
    Khoshneviszadeh M; Edraki N; Miri R; Hemmateenejad B
    Chem Biol Drug Des; 2008 Dec; 72(6):564-74. PubMed ID: 19090923
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Molecular modeling of histamine H3 receptor and QSAR studies on arylbenzofuran derived H3 antagonists.
    Dastmalchi S; Hamzeh-Mivehroud M; Ghafourian T; Hamzeiy H
    J Mol Graph Model; 2008 Jan; 26(5):834-44. PubMed ID: 17561422
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.