Multivariate adaptive regression splines—studies of HIV reverse transcriptase inhibitors
暂无分享,去创建一个
H. M. Vinkers | D. Massart | M. Daszykowski | B. Walczak | Qingsong Xu | F. Daeyaert | M. D. Jonge | J. Heeres | L. Koymans | P. Lewi | P. Janssen
[1] Frits Daeyaert,et al. A pharmacophore docking algorithm and its application to the cross‐docking of 18 HIV‐NNRTI's in their binding pockets , 2004, Proteins.
[2] Yi-Zeng Liang,et al. Two-step multivariate adaptive regression splines for modeling a quantitative relationship between gas chromatography retention indices and molecular descriptors. , 2003, Journal of chromatography. A.
[3] Sorin Draghici,et al. Predicting HIV drug resistance with neural networks , 2003, Bioinform..
[4] Jian-Hui Jiang,et al. A New Redundant Variable Pruning Approach - minor Latent Variable Perturbation-PLS Used for QSAR Studies on Anti-HIV Drugs , 2002, Comput. Chem..
[5] J N Weinstein,et al. Quantitative structure-antitumor activity relationships of camptothecin analogues: cluster analysis and genetic algorithm-based studies. , 2001, Journal of medicinal chemistry.
[6] D I Stuart,et al. Structural basis for the resilience of efavirenz (DMP-266) to drug resistance mutations in HIV-1 reverse transcriptase. , 2000, Structure.
[7] D. L. Massart,et al. Erratum to “Local modelling with radial basis function networks ” [Chemometrics and Intelligent Laboratory Systems 50 (2000) 179–198] , 2000 .
[8] Desire L. Massart,et al. Local modelling with radial basis function networks , 2000 .
[9] Jan Balzarini,et al. Phenylethylthiazolylthiourea (PETT) Non-nucleoside Inhibitors of HIV-1 and HIV-2 Reverse Transcriptases , 2000, The Journal of Biological Chemistry.
[10] D I Stuart,et al. Design of MKC-442 (emivirine) analogues with improved activity against drug-resistant HIV mutants. , 1999, Journal of medicinal chemistry.
[11] Christophe G. Lambert,et al. Analysis of a Large Structure/Biological Activity Data Set Using Recursive Partitioning , 1999, J. Chem. Inf. Comput. Sci..
[12] P Mátyus,et al. Application of neural networks in structure–activity relationships , 1999, Medicinal research reviews.
[13] Johann Gasteiger,et al. Neural networks in chemistry and drug design , 1999 .
[14] A. D. Clark,et al. Structures of Tyr188Leu mutant and wild-type HIV-1 reverse transcriptase complexed with the non-nucleoside inhibitor HBY 097: inhibitor flexibility is a useful design feature for reducing drug resistance. , 1998, Journal of molecular biology.
[15] G Schneider,et al. Artificial neural networks for computer-based molecular design. , 1998, Progress in biophysics and molecular biology.
[16] D I Stuart,et al. Crystal structures of HIV-1 reverse transcriptase in complex with carboxanilide derivatives. , 1998, Biochemistry.
[17] Brendan Larder,et al. A Rapid Method for Simultaneous Detection of Phenotypic Resistance to Inhibitors of Protease and Reverse Transcriptase in Recombinant Human Immunodeficiency Virus Type 1 Isolates from Patients Treated with Antiretroviral Drugs , 1998, Antimicrobial Agents and Chemotherapy.
[18] Richard T. Walker,et al. Complexes of HIV-1 reverse transcriptase with inhibitors of the HEPT series reveal conformational changes relevant to the design of potent non-nucleoside inhibitors. , 1996, Journal of medicinal chemistry.
[19] A. Leach. Molecular Modelling: Principles and Applications , 1996 .
[20] V. Nguyen-Cong,et al. Using multivariate adaptive regression splines to QSAR studies of dihydroartemisinin derivatives. , 1996, European journal of medicinal chemistry.
[21] D. Stuart,et al. The structure of HIV-1 reverse transcriptase complexed with 9-chloro-TIBO: lessons for inhibitor design. , 1995, Structure.
[22] Henri Moereels,et al. Structure of HIV-1 RT/TIBO R 86183 complex reveals similarity in the binding of diverse nonnucleoside inhibitors , 1995, Nature Structural Biology.
[23] Yvonne Jones,et al. High resolution structures of HIV-1 RT from four RT–inhibitor complexes , 1995, Nature Structural Biology.
[24] Ildiko E. Frank,et al. Modern nonlinear regression methods , 1995 .
[25] Anton J. Hopfinger,et al. Application of Genetic Function Approximation to Quantitative Structure-Activity Relationships and Quantitative Structure-Property Relationships , 1994, J. Chem. Inf. Comput. Sci..
[26] Lyle H. Ungar,et al. A comparison of two nonparametric estimation schemes: MARS and neural networks , 1993 .
[27] Bruce R. Kowalski,et al. MARS: A tutorial , 1992 .
[28] J. Friedman. Multivariate adaptive regression splines , 1990 .
[29] Peter Craven,et al. Smoothing noisy data with spline functions , 1978 .