메뉴 건너뛰기




Volumn 43, Issue 4, 2003, Pages 1288-1296

QSAR study of ethyl 2-[(3-methyl-2,5-dioxo(3-pyrrolinyl))amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate: An inhibitor of Ap-1 and NF-/κB mediated gene expression based on support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; ERROR ANALYSIS; GENES; INFORMATION ANALYSIS; MATHEMATICAL MODELS; MOLECULAR STRUCTURE; NITROGEN; QUANTUM THEORY; SYNTHESIS (CHEMICAL);

EID: 0043201408     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci0340355     Document Type: Article
Times cited : (87)

References (19)
  • 1
    • 0000640646 scopus 로고    scopus 로고
    • Transcription Factors: A new frontier for drug discovery
    • Manning, A. M. Transcription factors: a new frontier for drug discovery. Drug Discovery Today 1996, 1, 151-160.
    • (1996) Drug Discovery Today , vol.1 , pp. 151-160
    • Manning, A.M.1
  • 2
    • 0036230293 scopus 로고    scopus 로고
    • Inhibitors of AP-1 and NF-κB mediated transcriptional activation: Therapeutic potential in autoimmune diseases and structural diversity
    • Palanki, M. S. S. Inhibitors of AP-1 and NF-κB Mediated Transcriptional Activation: Therapeutic Potential in Autoimmune Diseases and Structural Diversity. Curr. Med. Chem. 2002, 9, 219-227.
    • (2002) Curr. Med. Chem. , vol.9 , pp. 219-227
    • Palanki, M.S.S.1
  • 3
    • 0037119678 scopus 로고    scopus 로고
    • Structure-activity relationship studies of ethyl 2-[(3-Methyl-2,5-dioxo(3-pyrrolinyl)) amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate: An inhibitor of AP-1 and NF-κB mediated gene expression
    • Palanki, M. S. S.; Gayo-Fung, L. M.; Shevlin, G. I.; Erdman, P.; Sato, M.; Goldman, M.; Ransone, L. J.; Spooner C. Structure-Activity Relationship Studies of Ethyl 2-[(3-Methyl-2,5-dioxo(3-pyrrolinyl)) amino]-4-(trifluoromethyl) pyrimidine-5-carboxylate: An Inhibitor of AP-1 and NF-κB Mediated Gene Expression. Bioorg. Med. Chem. Lett. 2002, 12, 2573-2577.
    • (2002) Bioorg. Med. Chem. Lett. , vol.12 , pp. 2573-2577
    • Palanki, M.S.S.1    Gayo-Fung, L.M.2    Shevlin, G.I.3    Erdman, P.4    Sato, M.5    Goldman, M.6    Ransone, L.J.7    Spooner, C.8
  • 5
    • 0032735695 scopus 로고    scopus 로고
    • Neural networks in drug discovery: Have they lived up to their promise?
    • Manallack, D. T.; Livingstone, D. J. Neural networks in drug discovery: have they lived up to their promise? Eur. J. Med. Chem. 1999, 34, 95-208.
    • (1999) Eur. J. Med. Chem. , vol.34 , pp. 95-208
    • Manallack, D.T.1    Livingstone, D.J.2
  • 6
    • 0037134796 scopus 로고    scopus 로고
    • Identifying genes related to drug anticancer mechanisms using support vector machine
    • in press
    • Bao, L.; Sun, Z. R. Identifying genes related to drug anticancer mechanisms using support vector machine. FEBS Lett. 2002, in press.
    • (2002) FEBS Lett.
    • Bao, L.1    Sun, Z.R.2
  • 7
    • 0037191113 scopus 로고    scopus 로고
    • A flexible classification approach with optimal generalization performance: Support vector machines
    • Belousov, A. I.; Verzakov, S. A.; Von Frese, J. A flexible classification approach with optimal generalization performance: support vector machines. Chemometrics Intelligent Lab. Systems 2002, 64, 15-25.
    • (2002) Chemometrics Intelligent Lab. Systems , vol.64 , pp. 15-25
    • Belousov, A.I.1    Verzakov, S.A.2    Von Frese, J.3
  • 8
    • 0036007085 scopus 로고    scopus 로고
    • Prediction of protein structural classes by support vector machines
    • Cai, Y. D.; Liu, X. J.; Xu, X. B.; Chou, K. C. Prediction of protein structural classes by support vector machines. Comput. Chem. 2002, 26, 293-296.
    • (2002) Comput. Chem. , vol.26 , pp. 293-296
    • Cai, Y.D.1    Liu, X.J.2    Xu, X.B.3    Chou, K.C.4
  • 9
    • 0035676247 scopus 로고    scopus 로고
    • Support vector machines for identifying organisms- a comparison with strongly partitioned radial basis function networks
    • Colin, W. M.; Autret, A.; Boddy, L. Support vector machines for identifying organisms- a comparison with strongly partitioned radial basis function networks. Ecological Modelling 146 2001 57-67.
    • (2001) Ecological Modelling , vol.146 , pp. 57-67
    • Colin, W.M.1    Autret, A.2    Boddy, L.3
  • 10
    • 0036827078 scopus 로고    scopus 로고
    • Prediction of protein retention times in anion-exchange chromatography systems using support vector regression
    • Song, M.; Breneman, C. M.; Bi, J.; Sukumar, N.; Bennett, K. P.; Cramer, S.; Tugcu, N. Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. J. Chem. Inf. Comput. Sci. 2002, 42, 1347-1357.
    • (2002) J. Chem. Inf. Comput. Sci. , vol.42 , pp. 1347-1357
    • Song, M.1    Breneman, C.M.2    Bi, J.3    Sukumar, N.4    Bennett, K.P.5    Cramer, S.6    Tugcu, N.7
  • 14
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C.; Vapnik, V. Support-Vector Networks. Machine Learning 1995, 20, 273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 15
    • 84949776468 scopus 로고    scopus 로고
    • Network performance assessment for neurofuzzy data modeling
    • Gunn, S. R.; Brown, M.; Bossley, K. M. Network performance assessment for neurofuzzy data modeling. Lecture Notes Comput. Sci. 1997, 1280, 313-323.
    • (1997) Lecture Notes Comput. Sci. , vol.1280 , pp. 313-323
    • Gunn, S.R.1    Brown, M.2    Bossley, K.M.3
  • 16
    • 0345688978 scopus 로고    scopus 로고
    • Determination of the spread parameter in the Gaussian kernel for classification and regression
    • in press
    • Wang, W. J.; Xu, Z. B.; Lu, W. Z., Zhang, X. Y. Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing, in press.
    • Neurocomputing
    • Wang, W.J.1    Xu, Z.B.2    Lu, W.Z.3    Zhang, X.Y.4
  • 17
    • 0036825901 scopus 로고    scopus 로고
    • Modified support vector machines in financial time series forecasting
    • Tay, F. E. H.; Cao, L. J. Modified support vector machines in financial time series forecasting. Neurocomputing 2002, 48, 847-861.
    • (2002) Neurocomputing , vol.48 , pp. 847-861
    • Tay, F.E.H.1    Cao, L.J.2
  • 18
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Surges, C. J. C. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discovery 2 1998, 2, 1-47.
    • (1998) Data Mining Knowledge Discovery 2 , vol.2 , pp. 1-47
    • Surges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.