BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 19959260)

  • 1. Modeling the antileishmanial activity screening of 5-nitro-2-heterocyclic benzylidene hydrazides using different chemometrics methods.
    Garkani-Nejad Z; Ahmadi-Roudi B
    Eur J Med Chem; 2010 Feb; 45(2):719-26. PubMed ID: 19959260
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks.
    Gupta VK; Khani H; Ahmadi-Roudi B; Mirakhorli S; Fereyduni E; Agarwal S
    Talanta; 2011 Jan; 83(3):1014-22. PubMed ID: 21147352
    [TBL] [Abstract][Full Text] [Related]  

  • 3. QSAR study of heparanase inhibitors activity using artificial neural networks and Levenberg-Marquardt algorithm.
    Jalali-Heravi M; Asadollahi-Baboli M; Shahbazikhah P
    Eur J Med Chem; 2008 Mar; 43(3):548-56. PubMed ID: 17602800
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm.
    Arab Chamjangali M; Beglari M; Bagherian G
    J Mol Graph Model; 2007 Jul; 26(1):360-7. PubMed ID: 17350867
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A self-adaptive genetic algorithm-artificial neural network algorithm with leave-one-out cross validation for descriptor selection in QSAR study.
    Wu J; Mei J; Wen S; Liao S; Chen J; Shen Y
    J Comput Chem; 2010 Jul; 31(10):1956-68. PubMed ID: 20512843
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature selection and linear/nonlinear regression methods for the accurate prediction of glycogen synthase kinase-3beta inhibitory activities.
    Goodarzi M; Freitas MP; Jensen R
    J Chem Inf Model; 2009 Apr; 49(4):824-32. PubMed ID: 19338295
    [TBL] [Abstract][Full Text] [Related]  

  • 7. QSPR modeling of soil sorption coefficients (K(OC)) of pesticides using SPA-ANN and SPA-MLR.
    Goudarzi N; Goodarzi M; Araujo MC; Galvão RK
    J Agric Food Chem; 2009 Aug; 57(15):7153-8. PubMed ID: 19722589
    [TBL] [Abstract][Full Text] [Related]  

  • 8. QSAR and docking studies of novel antileishmanial diaryl sulfides and sulfonamides.
    Goodarzi M; da Cunha EF; Freitas MP; Ramalho TC
    Eur J Med Chem; 2010 Nov; 45(11):4879-89. PubMed ID: 20728249
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide.
    Tabaraki R; Khayamian T; Ensafi AA
    J Mol Graph Model; 2006 Sep; 25(1):46-54. PubMed ID: 16337156
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks clustering of antiprotozoal compounds.
    Prado-Prado FJ; González-Díaz H; de la Vega OM; Ubeira FM; Chou KC
    Bioorg Med Chem; 2008 Jun; 16(11):5871-80. PubMed ID: 18485714
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Toward an optimal procedure for PC-ANN model building: prediction of the carcinogenic activity of a large set of drugs.
    Hemmateenejad B; Safarpour MA; Miri R; Nesari N
    J Chem Inf Model; 2005; 45(1):190-9. PubMed ID: 15667145
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Adaptive neuro-fuzzy inference system (ANFIS): a new approach to predictive modeling in QSAR applications: a study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists.
    Buyukbingol E; Sisman A; Akyildiz M; Alparslan FN; Adejare A
    Bioorg Med Chem; 2007 Jun; 15(12):4265-82. PubMed ID: 17434739
    [TBL] [Abstract][Full Text] [Related]  

  • 16. QSPR studies of impact sensitivity of nitro energetic compounds using three-dimensional descriptors.
    Xu J; Zhu L; Fang D; Wang L; Xiao S; Liu L; Xu W
    J Mol Graph Model; 2012 Jun; 36():10-9. PubMed ID: 22503858
    [TBL] [Abstract][Full Text] [Related]  

  • 17. NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum.
    González-Díaz H; Prado-Prado F; Sobarzo-Sánchez E; Haddad M; Maurel Chevalley S; Valentin A; Quetin-Leclercq J; Dea-Ayuela MA; Teresa Gomez-Muños M; Munteanu CR; José Torres-Labandeira J; García-Mera X; Tapia RA; Ubeira FM
    J Theor Biol; 2011 May; 276(1):229-49. PubMed ID: 21277861
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Artificial neural network prediction of retention factors of some benzene derivatives and heterocyclic compounds in micellar electrokinetic chromatography.
    Golmohammadi H; Fatemi MH
    Electrophoresis; 2005 Sep; 26(18):3438-44. PubMed ID: 16110463
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Genetic algorithm applied to the selection of factors in principal component-artificial neural networks: application to QSAR study of calcium channel antagonist activity of 1,4-dihydropyridines (nifedipine analogous).
    Hemmateenejad B; Akhond M; Miri R; Shamsipur M
    J Chem Inf Comput Sci; 2003; 43(4):1328-34. PubMed ID: 12870926
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.