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182 related items for PubMed ID: 15446828
1. 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; 44(5):1693-700. PubMed ID: 15446828 [Abstract] [Full Text] [Related]
2. Prediction of retention times for a large set of pesticides or toxicants based on support vector machine and the heuristic method. Li X, Luan F, Si H, Hu Z, Liu M. Toxicol Lett; 2007 Dec 10; 175(1-3):136-44. PubMed ID: 18024009 [Abstract] [Full Text] [Related]
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 Dec 10; 44(6):1979-86. PubMed ID: 15554667 [Abstract] [Full Text] [Related]
7. Development of migration models for acids in capillary electrophoresis using heuristic and radial basis function neural network methods. Xue C, Yao X, Liu H, Liu M, Hu Z, Fan B. Electrophoresis; 2005 Jun 10; 26(11):2154-64. PubMed ID: 15852353 [Abstract] [Full Text] [Related]
8. QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation. Votano JR, Parham M, Hall LM, Hall LH, Kier LB, Oloff S, Tropsha A. J Med Chem; 2006 Nov 30; 49(24):7169-81. PubMed ID: 17125269 [Abstract] [Full Text] [Related]
9. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine. Fatemi MH, Gharaghani S. Bioorg Med Chem; 2007 Dec 15; 15(24):7746-54. PubMed ID: 17870538 [Abstract] [Full Text] [Related]
15. Predicting the activity of drugs for a group of imidazopyridine anticoccidial compounds. Si H, Lian N, Yuan S, Fu A, Duan YB, Zhang K, Yao X. Eur J Med Chem; 2009 Oct 15; 44(10):4044-50. PubMed ID: 19482386 [Abstract] [Full Text] [Related]
16. QSAR study on melanocortin-4 receptors by support vector machine. Pourbasheer E, Riahi S, Ganjali MR, Norouzi P. Eur J Med Chem; 2010 Mar 15; 45(3):1087-93. PubMed ID: 20031282 [Abstract] [Full Text] [Related]
17. Prediction of ozone tropospheric degradation rate constants by projection pursuit regression. Ren Y, Liu H, Yao X, Liu M. Anal Chim Acta; 2007 Apr 18; 589(1):150-8. PubMed ID: 17397666 [Abstract] [Full Text] [Related]
18. 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. J Phys Chem B; 2005 Nov 03; 109(43):20565-71. PubMed ID: 16853662 [Abstract] [Full Text] [Related]
19. Quantitative structure-retention relationships for organic pollutants in biopartitioning micellar chromatography. Xia B, Ma W, Zhang X, Fan B. Anal Chim Acta; 2007 Aug 13; 598(1):12-8. PubMed ID: 17693301 [Abstract] [Full Text] [Related]
20. 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 13; 43(1):43-52. PubMed ID: 17459530 [Abstract] [Full Text] [Related] Page: [Next] [New Search]