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 *

1354 related articles for article (PubMed ID: 17949360)

  • 1. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
    Nandi S; Vracko M; Bagchi MC
    Chem Biol Drug Des; 2007 Nov; 70(5):424-36. PubMed ID: 17949360
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Cellular apoptosis and cytotoxicity of phenolic compounds: a quantitative structure-activity relationship study.
    Selassie CD; Kapur S; Verma RP; Rosario M
    J Med Chem; 2005 Nov; 48(23):7234-42. PubMed ID: 16279782
    [TBL] [Abstract][Full Text] [Related]  

  • 3. QSAR modeling of anti-invasive activity of organic compounds using structural descriptors.
    Katritzky AR; Kuanar M; Dobchev DA; Vanhoecke BW; Karelson M; Parmar VS; Stevens CV; Bracke ME
    Bioorg Med Chem; 2006 Oct; 14(20):6933-9. PubMed ID: 16908166
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.
    Yao XJ; Panaye A; Doucet JP; Zhang RS; Chen HF; Liu MC; Hu ZD; Fan BT
    J Chem Inf Comput Sci; 2004; 44(4):1257-66. PubMed ID: 15272833
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. QSAR analysis of soil sorption coefficients for polar organic chemicals: substituted anilines and phenols.
    Liu G; Yu J
    Water Res; 2005 May; 39(10):2048-55. PubMed ID: 15913706
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. A TOPological Sub-structural Molecular Design (TOPS-MODE)-QSAR approach for modeling the antiproliferative activity against murine leukemia tumor cell line (L1210).
    Molina-Ruiz R; Saíz-Urra L; Rodríguez-Borges JE; Pérez-Castillo Y; González MP; García-Mera X; Cordeiro MN
    Bioorg Med Chem; 2009 Jan; 17(2):537-47. PubMed ID: 19114309
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
    Ventura C; Latino DA; Martins F
    Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Toward generating simpler QSAR models: nonlinear multivariate regression versus several neural network ensembles and some related methods.
    Lucić B; Nadramija D; Basic I; Trinajstić N
    J Chem Inf Comput Sci; 2003; 43(4):1094-102. PubMed ID: 12870898
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Design and QSAR study of analogs of gamma-tocotrienol with enhanced antiproliferative activity against human breast cancer cells.
    Nikolic K; Agababa D
    J Mol Graph Model; 2009 Apr; 27(7):777-83. PubMed ID: 19117779
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Study of probabilistic neural networks to classify the active compounds in medicinal plants.
    Xue CX; Zhang XY; Liu MC; Hu ZD; Fan BT
    J Pharm Biomed Anal; 2005 Jul; 38(3):497-507. PubMed ID: 15925251
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CoMFA and docking studies of 2-phenylindole derivatives with anticancer activity.
    Liao SY; Qian L; Miao TF; Lu HL; Zheng KC
    Eur J Med Chem; 2009 Jul; 44(7):2822-7. PubMed ID: 19167135
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Linear versus nonlinear QSAR modeling of the toxicity of phenol derivatives to Tetrahymena pyriformis.
    Devillers J
    SAR QSAR Environ Res; 2004 Aug; 15(4):237-49. PubMed ID: 15370415
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Quantitative structure-activity relationships (QSARs) using the novel marine algal toxicity data of phenols.
    Ertürk MD; Saçan MT; Novic M; Minovski N
    J Mol Graph Model; 2012 Sep; 38():90-100. PubMed ID: 23085159
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QSAR modeling of mono- and bis-quaternary ammonium salts that act as antagonists at neuronal nicotinic acetylcholine receptors mediating dopamine release.
    Zheng F; Bayram E; Sumithran SP; Ayers JT; Zhan CG; Schmitt JD; Dwoskin LP; Crooks PA
    Bioorg Med Chem; 2006 May; 14(9):3017-37. PubMed ID: 16431111
    [TBL] [Abstract][Full Text] [Related]  

  • 17. QSAR analysis of phenolic antioxidants using MOLMAP descriptors of local properties.
    Gupta S; Matthew S; Abreu PM; Aires-de-Sousa J
    Bioorg Med Chem; 2006 Feb; 14(4):1199-206. PubMed ID: 16230016
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Stochastic entropy QSAR for the in silico discovery of anticancer compounds: prediction, synthesis, and in vitro assay of new purine carbanucleosides.
    González-Díaz H; Viña D; Santana L; de Clercq E; Uriarte E
    Bioorg Med Chem; 2006 Feb; 14(4):1095-107. PubMed ID: 16253507
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An accurate nonlinear QSAR model for the antitumor activities of chloroethylnitrosoureas using neural networks.
    Qin Y; Deng H; Yan H; Zhong R
    J Mol Graph Model; 2011 Apr; 29(6):826-33. PubMed ID: 21353608
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Anticancer activity of phenolic acids of natural or synthetic origin: a structure-activity study.
    Gomes CA; da Cruz TG; Andrade JL; Milhazes N; Borges F; Marques MP
    J Med Chem; 2003 Dec; 46(25):5395-401. PubMed ID: 14640548
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 68.