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 *

160 related articles for article (PubMed ID: 15081749)

  • 21. 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]  

  • 22. 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]  

  • 23. 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]  

  • 24. Prioritization of in silico models and molecular descriptors for the assessment of ready biodegradability.
    Fernández A; Rallo R; Giralt F
    Environ Res; 2015 Oct; 142():161-8. PubMed ID: 26160046
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Methods for the assessment of organic compounds biodegradability: A review].
    Lu K; Yang SY; Liang ZW; Wang YL; Li X; Yu HD; Wu WX
    Ying Yong Sheng Tai Xue Bao; 2013 Feb; 24(2):597-606. PubMed ID: 23705410
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. CoMFA analysis of biodegradability.
    Dearden JC; Stott IP
    SAR QSAR Environ Res; 1995; 4(4):189-96. PubMed ID: 8765907
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A comparison of methods for modeling quantitative structure-activity relationships.
    Sutherland JJ; O'Brien LA; Weaver DF
    J Med Chem; 2004 Oct; 47(22):5541-54. PubMed ID: 15481990
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Highly correlating distance/connectivity-based topological indices 5. Accurate prediction of liquid density of organic molecules using PCR and PC-ANN.
    Shamsipur M; Ghavami R; Sharghi H; Hemmateenejad B
    J Mol Graph Model; 2008 Nov; 27(4):506-11. PubMed ID: 18948045
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Neural modelling of the biodegradability of benzene derivatives.
    Devillers J
    SAR QSAR Environ Res; 1993; 1(2-3):161-7. PubMed ID: 8790632
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Artificial neural networks and the study of the psychoactivity of cannabinoid compounds.
    Honório KM; de Lima EF; Quiles MG; Romero RA; Molfetta FA; da Silva AB
    Chem Biol Drug Des; 2010 Jun; 75(6):632-40. PubMed ID: 20565477
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prediction of biodegradation from the atom-type electrotopological state indices.
    Huuskonen J
    Environ Toxicol Chem; 2001 Oct; 20(10):2152-7. PubMed ID: 11596743
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Biodegradability and ecotoxicity of amine oxide based surfactants.
    García MT; Campos E; Ribosa I
    Chemosphere; 2007 Nov; 69(10):1574-8. PubMed ID: 17631946
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Volume learning algorithm significantly improved PLS model for predicting the estrogenic activity of xenoestrogens.
    Kovalishyn VV; Kholodovych V; Tetko IV; Welsh WJ
    J Mol Graph Model; 2007 Sep; 26(2):591-4. PubMed ID: 17433745
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Quantitative structure-activity relationship to predict differential inhibition of aldose reductase by flavonoid compounds.
    Fernández M; Caballero J; Helguera AM; Castro EA; González MP
    Bioorg Med Chem; 2005 May; 13(9):3269-77. PubMed ID: 15809162
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Non-linear quantitative structure-activity relationship for adenine derivatives as competitive inhibitors of adenosine deaminase.
    Sadat Hayatshahi SH; Abdolmaleki P; Safarian S; Khajeh K
    Biochem Biophys Res Commun; 2005 Dec; 338(2):1137-42. PubMed ID: 16256072
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals.
    Acharya K; Werner D; Dolfing J; Barycki M; Meynet P; Mrozik W; Komolafe O; Puzyn T; Davenport RJ
    Water Res; 2019 Jun; 157():181-190. PubMed ID: 30953853
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Artificial neural networks-based approach to design ARIs using QSAR for diabetes mellitus.
    Patra JC; Singh O
    J Comput Chem; 2009 Nov; 30(15):2494-508. PubMed ID: 19373836
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.