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 *

179 related articles for article (PubMed ID: 18503264)

  • 1. SAMFA: simplifying molecular description for 3D-QSAR.
    Manchester J; Czermiński R
    J Chem Inf Model; 2008 Jun; 48(6):1167-73. PubMed ID: 18503264
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CAUTION: popular "benchmark" data sets do not distinguish the merits of 3D QSAR methods.
    Manchester J; Czermiński R
    J Chem Inf Model; 2009 Jun; 49(6):1449-54. PubMed ID: 19438212
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Statistical confidence for variable selection in QSAR models via Monte Carlo cross-validation.
    Konovalov DA; Sim N; Deconinck E; Vander Heyden Y; Coomans D
    J Chem Inf Model; 2008 Feb; 48(2):370-83. PubMed ID: 18232680
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational study of histamine H3-receptor antagonist with support vector machines and three dimension quantitative structure activity relationship methods.
    Chen HF
    Anal Chim Acta; 2008 Aug; 624(2):203-9. PubMed ID: 18706326
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TMACC: interpretable correlation descriptors for quantitative structure-activity relationships.
    Melville JL; Hirst JD
    J Chem Inf Model; 2007; 47(2):626-34. PubMed ID: 17381177
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Molecule kernels: a descriptor- and alignment-free quantitative structure-activity relationship approach.
    Mohr JA; Jain BJ; Obermayer K
    J Chem Inf Model; 2008 Sep; 48(9):1868-81. PubMed ID: 18767832
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling and prediction of retention behavior of histidine-containing peptides in immobilized metal-affinity chromatography.
    Tian F; Yang L; Lv F; Zhou P
    J Sep Sci; 2009 Jun; 32(12):2159-69. PubMed ID: 19548218
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. QSAR of aminopyrido[2,3-d]pyrimidin-7-yl derivatives: anticancer drug design by computed descriptors.
    Nandi S; Bagchi MC
    J Enzyme Inhib Med Chem; 2009 Aug; 24(4):937-48. PubMed ID: 19555178
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. QSAR models for the human H(+)/peptide symporter, hPEPT1: affinity prediction using alignment-independent descriptors.
    Larsen SB; Jørgensen FS; Olsen L
    J Chem Inf Model; 2008 Jan; 48(1):233-41. PubMed ID: 18092768
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust cross-validation of linear regression QSAR models.
    Konovalov DA; Llewellyn LE; Vander Heyden Y; Coomans D
    J Chem Inf Model; 2008 Oct; 48(10):2081-94. PubMed ID: 18826208
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LQTA-QSAR: a new 4D-QSAR methodology.
    Martins JP; Barbosa EG; Pasqualoto KF; Ferreira MM
    J Chem Inf Model; 2009 Jun; 49(6):1428-36. PubMed ID: 19422246
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Pharmacophore-based 3D-QSAR of HIF-1 inhibitors.
    Chung JY; Pasha FA; Cho SJ; Won M; Lee JJ; Lee K
    Arch Pharm Res; 2009 Mar; 32(3):317-23. PubMed ID: 19387572
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. Total and local (atom and atom type) molecular quadratic indices: significance interpretation, comparison to other molecular descriptors, and QSPR/QSAR applications.
    Ponce YM
    Bioorg Med Chem; 2004 Dec; 12(24):6351-69. PubMed ID: 15556754
    [TBL] [Abstract][Full Text] [Related]  

  • 20. QSAR studies of CYP2D6 inhibitor aryloxypropanolamines using 2D and 3D descriptors.
    Roy PP; Roy K
    Chem Biol Drug Des; 2009 Apr; 73(4):442-55. PubMed ID: 19291105
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.