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Journal Abstract Search

824 related items for PubMed ID: 19207427

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. 3D-QSAR studies of Checkpoint Kinase Weel inhibitors based on molecular docking, CoMFA and CoMSIA.
    Yi P, Fang X, Qiu M.
    Eur J Med Chem; 2008 May; 43(5):925-38. PubMed ID: 17698256
    [Abstract] [Full Text] [Related]

  • 3. Application of partial least squares and radial basis function neural networks in multivariate imaging analysis-quantitative structure activity relationship: study of cyclin dependent kinase 4 inhibitors.
    Saghaie L, Shahlaei M, Madadkar-Sobhani A, Fassihi A.
    J Mol Graph Model; 2010 Dec; 29(4):518-28. PubMed ID: 21071247
    [Abstract] [Full Text] [Related]

  • 4. MIA-QSAR coupled to principal component analysis-adaptive neuro-fuzzy inference systems (PCA-ANFIS) for the modeling of the anti-HIV reverse transcriptase activities of TIBO derivatives.
    Goodarzi M, Freitas MP.
    Eur J Med Chem; 2010 Apr; 45(4):1352-8. PubMed ID: 20060625
    [Abstract] [Full Text] [Related]

  • 5. Receptor-based 3D-QSAR studies of checkpoint Wee1 kinase inhibitors.
    Wichapong K, Lindner M, Pianwanit S, Kokpol S, Sippl W.
    Eur J Med Chem; 2009 Apr; 44(4):1383-95. PubMed ID: 18976834
    [Abstract] [Full Text] [Related]

  • 6. Synthesis and structure-activity relationships of N-6 substituted analogues of 9-hydroxy-4-phenylpyrrolo[3,4-c]carbazole-1,3(2H,6H)-diones as inhibitors of Wee1 and Chk1 checkpoint kinases.
    Smaill JB, Baker EN, Booth RJ, Bridges AJ, Dickson JM, Dobrusin EM, Ivanovic I, Kraker AJ, Lee HH, Lunney EA, Ortwine DF, Palmer BD, Quin J, Squire CJ, Thompson AM, Denny WA.
    Eur J Med Chem; 2008 Jun; 43(6):1276-96. PubMed ID: 17869387
    [Abstract] [Full Text] [Related]

  • 7. 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
    [Abstract] [Full Text] [Related]

  • 8. 3D-QSAR CoMFA analysis of C5 substituted pyrrolotriazines as HER2 (ErbB2) inhibitors.
    Awale M, Mohan CG.
    J Mol Graph Model; 2008 Apr; 26(7):1169-78. PubMed ID: 18055238
    [Abstract] [Full Text] [Related]

  • 9. 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 26; 42(17):3217-26. PubMed ID: 10464009
    [Abstract] [Full Text] [Related]

  • 10. Prediction of biological activity of Aurora-A kinase inhibitors by multilinear regression analysis and support vector machine.
    Yan A, Chong Y, Wang L, Hu X, Wang K.
    Bioorg Med Chem Lett; 2011 Apr 15; 21(8):2238-43. PubMed ID: 21421314
    [Abstract] [Full Text] [Related]

  • 11. Structural requirements of pyrido[2,3-d]pyrimidin-7-one as CDK4/D inhibitors: 2D autocorrelation, CoMFA and CoMSIA analyses.
    Caballero J, Fernández M, González-Nilo FD.
    Bioorg Med Chem; 2008 Jun 01; 16(11):6103-15. PubMed ID: 18468903
    [Abstract] [Full Text] [Related]

  • 12. Partial least squares modeling and genetic algorithm optimization in quantitative structure-activity relationships.
    Hasegawa K, Funatsu K.
    SAR QSAR Environ Res; 2000 Jun 01; 11(3-4):189-209. PubMed ID: 10969871
    [Abstract] [Full Text] [Related]

  • 13. A three-dimensional quantitative structure-activity analysis of a new class of bisphenol topoisomerase IIalpha inhibitors.
    Liang H, Wu X, Yalowich JC, Hasinoff BB.
    Mol Pharmacol; 2008 Mar 01; 73(3):686-96. PubMed ID: 18045852
    [Abstract] [Full Text] [Related]

  • 14. Prediction of anti-HIV-1 activity of a series of tetrapyrrole molecules.
    Vanyúr R, Héberger K, Jakus J.
    J Chem Inf Comput Sci; 2003 Mar 01; 43(6):1829-36. PubMed ID: 14632429
    [Abstract] [Full Text] [Related]

  • 15. Prediction of fungicidal activities of rice blast disease based on least-squares support vector machines and project pursuit regression.
    Du H, Wang J, Hu Z, Yao X, Zhang X.
    J Agric Food Chem; 2008 Nov 26; 56(22):10785-92. PubMed ID: 18950187
    [Abstract] [Full Text] [Related]

  • 16. Multiple field three dimensional quantitative structure-activity relationship (MF-3D-QSAR).
    Du QS, Huang RB, Wei YT, Du LQ, Chou KC.
    J Comput Chem; 2008 Jan 30; 29(2):211-9. PubMed ID: 17559075
    [Abstract] [Full Text] [Related]

  • 17. Pharmacophore identification and validation study of CK2 inhibitors using CoMFA/CoMSIA.
    Morshed MN, Muddassar M, Pasha FA, Cho SJ.
    Chem Biol Drug Des; 2009 Aug 30; 74(2):148-58. PubMed ID: 19563463
    [Abstract] [Full Text] [Related]

  • 18. 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 30; 32(3):317-23. PubMed ID: 19387572
    [Abstract] [Full Text] [Related]

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  • 20. Using the TOPS-MODE approach to fit multi-target QSAR models for tyrosine kinases inhibitors.
    Marzaro G, Chilin A, Guiotto A, Uriarte E, Brun P, Castagliuolo I, Tonus F, González-Díaz H.
    Eur J Med Chem; 2011 Jun 30; 46(6):2185-92. PubMed ID: 21447431
    [Abstract] [Full Text] [Related]

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