QSAR Models for Phosphoramidate Prodrugs of 2′‐Methylcytidine as Inhibitors of Hepatitis C Virus Based on PSO Boosting
暂无分享,去创建一个
[1] Mauro Birattari,et al. Swarm Intelligence , 2012, Lecture Notes in Computer Science.
[2] Colin W Shepard,et al. Global epidemiology of hepatitis C virus infection. , 2005, The Lancet. Infectious diseases.
[3] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[4] J. Duca,et al. Discovery of 4H-pyrazolo[1,5-a]pyrimidin-7-ones as potent inhibitors of hepatitis C virus polymerase. , 2009, Bioorganic & medicinal chemistry letters.
[5] Mohammad Goodarzi,et al. Augmented Three-mode MIA-QSAR Modeling for a Series of Anti-HIV-1 Compounds , 2008 .
[6] Tarko Laszlo,et al. Monte Carlo method for identification of outlier molecules in QSAR studies , 2009 .
[7] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[8] Jian-hui Jiang,et al. QSAR study of angiotensin II antagonists using robust boosting partial least squares regression. , 2007, Analytica chimica acta.
[9] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[10] D L Massart,et al. Boosting partial least squares. , 2005, Analytical chemistry.
[11] Gunnar Rätsch,et al. Barrier Boosting , 2000, COLT.
[12] Marjan Vracko,et al. Kohonen Network Study of Aromatic Compounds Based on Electronic and Nonelectronic Structure Descriptors , 2005, J. Chem. Inf. Model..
[13] S. Shafran,et al. Treatment of Hepatitis C in HIV-Coinfected Patients , 2006, The Annals of pharmacotherapy.
[14] V. Kostina,et al. New acridone-4-carboxylic acid derivatives as potential inhibitors of hepatitis C virus infection. , 2008, Bioorganic & medicinal chemistry.
[15] M. Erion,et al. Liver-targeted prodrugs of 2'-C-methyladenosine for therapy of hepatitis C virus infection. , 2007, Journal of medicinal chemistry.
[16] John Shawe-Taylor,et al. Towards a strategy for boosting regressors , 2000 .
[17] Ruisheng Zhang,et al. QSAR and classification models of a novel series of COX-2 selective inhibitors: 1, 5-diarylimidazoles based on support vector machines , 2004, J. Comput. Aided Mol. Des..
[18] Eric Bauer,et al. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants , 1999, Machine Learning.
[19] M. Luini,et al. Quantitative structure–activity relationship modelling of oral acute toxicity and cytotoxic activity of fragrance materials in rodents , 2009, SAR and QSAR in environmental research.
[20] Niladri Chakraborty,et al. Particle swarm optimization technique based short-term hydrothermal scheduling , 2008, Appl. Soft Comput..
[21] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[22] Thomas G. Dietterich. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.
[23] Dong-Sheng Cao,et al. The boosting: A new idea of building models , 2010 .
[24] J. Neyts,et al. The phosphoramidate ProTide approach greatly enhances the activity of beta-2'-C-methylguanosine against hepatitis C virus. , 2009, Bioorganic & medicinal chemistry letters.
[25] Toniann Pitassi,et al. A Gradient-Based Boosting Algorithm for Regression Problems , 2000, NIPS.
[26] R. Bazzo,et al. Cyclic phosphoramidates as prodrugs of 2'-C-methylcytidine. , 2009, European journal of medicinal chemistry.
[27] F. Narjes,et al. Synthesis and evaluation of novel phosphoramidate prodrugs of 2'-methyl cytidine as inhibitors of hepatitis C virus NS5B polymerase. , 2009, Bioorganic & medicinal chemistry letters.
[28] Jin Cai,et al. Simultaneously Optimized Support Vector Regression Combined With Genetic Algorithm for QSAR Analysis of KDR/VEGFR‐2 Inhibitors , 2010, Chemical biology & drug design.
[29] H. Akaike. A new look at the statistical model identification , 1974 .
[30] Hxugo Kubiny. Variable Selection in QSAR Studies. I. An Evolutionary Algorithm , 1994 .
[31] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[32] S. Harper,et al. Phosphoramidate prodrugs of 2'-C-methylcytidine for therapy of hepatitis C virus infection. , 2009, Journal of medicinal chemistry.
[33] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[34] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[35] E. Castro,et al. Anticonvulsant Activity of Ringed Enaminones: A QSAR Study , 2009 .
[36] John Mao,et al. Synthesis and pharmacokinetics of valopicitabine (NM283), an efficient prodrug of the potent anti-HCV agent 2'-C-methylcytidine. , 2006, Journal of medicinal chemistry.
[37] David P. Helmbold,et al. Leveraging for Regression , 2000, COLT.
[38] Mehmet Fatih Tasgetiren,et al. A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem , 2008, Comput. Oper. Res..
[39] H. M. Vinkers,et al. Multivariate adaptive regression splines—studies of HIV reverse transcriptase inhibitors , 2004 .
[40] H. Kubinyi. Variable Selection in QSAR Studies. II. A Highly Efficient Combination of Systematic Search and Evolution , 1994 .
[41] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[42] Zhengjun Cheng,et al. Classification of 5-HT1A Receptor Ligands on the Basis of Their Binding Affinities by Using PSO-Adaboost-SVM , 2009, International journal of molecular sciences.
[43] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[44] Zhengjun Cheng,et al. QSAR studies of imidazopyridine derivatives as Et-PKG inhibitors using the PSO-SVM approach , 2010, Medicinal Chemistry Research.
[45] Irini A. Doytchinova,et al. Towards the chemometric dissection of peptide – HLA-A*0201 binding affinity: comparison of local and global QSAR models , 2005, J. Comput. Aided Mol. Des..
[46] O. Deeb,et al. Exploring QSARs for Inhibitory Activity of Non‐peptide HIV‐1 Protease Inhibitors by GA‐PLS and GA‐SVM , 2010, Chemical biology & drug design.