Fan BT - Search Results

1

Support vector machine and the heuristic method to predict the solubility of hydrocarbons in electrolyte.

Ma W, Zhang X, Luan F, Zhang H, Zhang R, Liu M, Hu Z, Fan BT. Ma W, et al. Among authors: fan bt. J Phys Chem A. 2005 Apr 21;109(15):3485-92. doi: 10.1021/jp0501446. J Phys Chem A. 2005. PMID: 16833686

2

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. Xue CX, et al. Among authors: fan bt. J Chem Inf Comput Sci. 2004 Sep-Oct;44(5):1693-700. doi: 10.1021/ci049820b. J Chem Inf Comput Sci. 2004. PMID: 15446828

3

The prediction of human oral absorption for diffusion rate-limited drugs based on heuristic method and support vector machine.

Liu HX, Hu RJ, Zhang RS, Yao XJ, Liu MC, Hu ZD, Fan BT. Liu HX, et al. Among authors: fan bt. J Comput Aided Mol Des. 2005 Jan;19(1):33-46. doi: 10.1007/s10822-005-0095-8. J Comput Aided Mol Des. 2005. PMID: 16059665

4

Prediction of pK(a) for neutral and basic drugs based on radial basis function Neural networks and the heuristic method.

Luan F, Ma W, Zhang H, Zhang X, Liu M, Hu Z, Fan B. Luan F, et al. Pharm Res. 2005 Sep;22(9):1454-60. doi: 10.1007/s11095-005-6246-8. Epub 2005 Aug 24. Pharm Res. 2005. PMID: 16132357

5

The accurate QSPR models to predict the bioconcentration factors of nonionic organic compounds based on the heuristic method and support vector machine.

Liu H, Yao X, Zhang R, Liu M, Hu Z, Fan B. Liu H, et al. Chemosphere. 2006 May;63(5):722-33. doi: 10.1016/j.chemosphere.2005.08.031. Epub 2005 Oct 14. Chemosphere. 2006. PMID: 16226786

6

Prediction of milk/plasma drug concentration (M/P) ratio using support vector machine (SVM) method.

Zhao C, Zhang H, Zhang X, Zhang R, Luan F, Liu M, Hu Z, Fan B. Zhao C, et al. Pharm Res. 2006 Jan;23(1):41-8. doi: 10.1007/s11095-005-8716-4. Epub 2006 Nov 30. Pharm Res. 2006. PMID: 16308669

7

Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machine.

Liu H, Yao X, Zhang R, Liu M, Hu Z, Fan B. Liu H, et al. J Phys Chem B. 2005 Nov 3;109(43):20565-71. doi: 10.1021/jp052223n. J Phys Chem B. 2005. PMID: 16853662

8

Application of support vector machine (SVM) for prediction toxic activity of different data sets.

Zhao CY, Zhang HX, Zhang XY, Liu MC, Hu ZD, Fan BT. Zhao CY, et al. Among authors: fan bt. Toxicology. 2006 Jan 16;217(2-3):105-19. doi: 10.1016/j.tox.2005.08.019. Epub 2005 Oct 5. Toxicology. 2006. PMID: 16213080

9

Prediction of programmed-temperature retention values of naphthas by wavelet neural networks.

Zhang X, Qi J, Zhang R, Liu M, Hu Z, Xue H, Fan B. Zhang X, et al. Comput Chem. 2001 Mar;25(2):125-33. doi: 10.1016/s0097-8485(00)00074-7. Comput Chem. 2001. PMID: 11219428

10

Prediction of enthalpy of alkanes by the use of radial basis function neural networks.

Yao X, Zhang X, Zhang R, Liu M, Hu Z, Fan B. Yao X, et al. Comput Chem. 2001 Sep;25(5):475-82. doi: 10.1016/s0097-8485(00)00110-8. Comput Chem. 2001. PMID: 11513237

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