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Journal Abstract Search

211 related items for PubMed ID: 17459530

  • 1. Classification of estrogen receptor-beta ligands on the basis of their binding affinities using support vector machine and linear discriminant analysis.
    Luan F, Liu HT, Ma WP, Fan BT.
    Eur J Med Chem; 2008 Jan; 43(1):43-52. PubMed ID: 17459530
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  • 4. Classification of inhibitors of protein tyrosine phosphatase 1B using molecular structure based descriptors.
    Patankar SJ, Jurs PC.
    J Chem Inf Comput Sci; 2003 Jan; 43(3):885-99. PubMed ID: 12767147
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  • 5. Classification study of skin sensitizers based on support vector machine and linear discriminant analysis.
    Ren Y, Liu H, Xue C, Yao X, Liu M, Fan B.
    Anal Chim Acta; 2006 Jul 21; 572(2):272-82. PubMed ID: 17723489
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  • 6. Quantitative prediction of logk of peptides in high-performance liquid chromatography based on molecular descriptors by using the heuristic method and support vector machine.
    Liu HX, Xue CX, Zhang RS, Yao XJ, Liu MC, Hu ZD, Fan BT.
    J Chem Inf Comput Sci; 2004 Jul 21; 44(6):1979-86. PubMed ID: 15554667
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  • 8. QSAR models for the prediction of binding affinities to human serum albumin using the heuristic method and a support vector machine.
    Xue CX, Zhang RS, Liu HX, Yao XJ, Liu MC, Hu ZD, Fan BT.
    J Chem Inf Comput Sci; 2004 Jul 21; 44(5):1693-700. PubMed ID: 15446828
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  • 12. Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity.
    Pourbasheer E, Riahi S, Ganjali MR, Norouzi P.
    Eur J Med Chem; 2009 Dec 21; 44(12):5023-8. PubMed ID: 19837488
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  • 13. Prediction of CCR5 receptor binding affinity of substituted 1-(3,3-diphenylpropyl)-piperidinyl amides and ureas based on the heuristic method, support vector machine and projection pursuit regression.
    Yuan Y, Zhang R, Hu R, Ruan X.
    Eur J Med Chem; 2009 Jan 21; 44(1):25-34. PubMed ID: 18433938
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  • 14. Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: concerns to support vector machine.
    Riahi S, Pourbasheer E, Ganjali MR, Norouzi P.
    J Hazard Mater; 2009 Jul 30; 166(2-3):853-9. PubMed ID: 19144466
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  • 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
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  • 16. Quantitative structure-activity relationship models for prediction of sensory irritants (logRD50) of volatile organic chemicals.
    Luan F, Ma W, Zhang X, Zhang H, Liu M, Hu Z, Fan BT.
    Chemosphere; 2006 May 26; 63(7):1142-53. PubMed ID: 16307788
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