Prediction of pharmacokinetic parameters.
暂无分享,去创建一个
[1] Mario Lobell,et al. In silico prediction of aqueous solubility, human plasma protein binding and volume of distribution of compounds from calculated pKa and AlogP98 values , 2004, Molecular Diversity.
[2] Yuquan Wei,et al. Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA-CG-SVM method. , 2008, Journal of pharmaceutical and biomedical analysis.
[3] F. Lombardo,et al. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings , 1997 .
[4] Maykel Pérez González,et al. A topological sub-structural approach for predicting human intestinal absorption of drugs. , 2004, European journal of medicinal chemistry.
[5] John Hodgson,et al. ADMET—turning chemicals into drugs , 2001, Nature Biotechnology.
[6] Y. Yano,et al. Prediction of human pharmacokinetics from animal data and molecular structural parameters using multivariate regression analysis: oral clearance. , 2003, Journal of pharmaceutical sciences.
[7] Su Young Choi,et al. Prediction of the permeability of drugs through study on quantitative structure-permeability relationship. , 2006, Journal of pharmaceutical and biomedical analysis.
[8] Panos Macheras,et al. In silico prediction of ADME and pharmacokinetics. Report of an expert meeting organised by COST B15. , 2002, European Journal of Pharmaceutical Sciences.
[9] L. Aarons,et al. Quantitative Structure–Pharmacokinetics Relationships: II. A Mechanistically Based Model to Evaluate the Relationship Between Tissue Distribution Parameters and Compound Lipophilicity , 1998, Journal of Pharmacokinetics and Biopharmaceutics.
[10] J. D. Elliott,et al. Prediction of the Intestinal Absorption of Endothelin Receptor Antagonists Using Three Theoretical Methods of Increasing Complexity , 1999, Pharmaceutical Research.
[11] H Lennernäs,et al. Correlation of human jejunal permeability (in vivo) of drugs with experimentally and theoretically derived parameters. A multivariate data analysis approach. , 1998, Journal of medicinal chemistry.
[12] J. V. Turner,et al. Pharmacokinetic parameter prediction from drug structure using artificial neural networks. , 2004, International journal of pharmaceutics.
[13] A. N. Jain,et al. Molecular hashkeys: a novel method for molecular characterization and its application for predicting important pharmaceutical properties of molecules. , 1999, Journal of medicinal chemistry.
[14] Irene Luque Ruiz,et al. QSAR models based on isomorphic and nonisomorphic data fusion for predicting the blood brain barrier permeability , 2007, J. Comput. Chem..
[15] Ulf Norinder,et al. Prediction of ADMET Properties , 2006, ChemMedChem.
[16] Prashant S. Kharkar,et al. Two-dimensional (2D) in silico models for absorption, distribution, metabolism, excretion and toxicity (ADME/T) in drug discovery. , 2010 .
[17] Alexander Golbraikh,et al. QSAR Modeling of the Blood–Brain Barrier Permeability for Diverse Organic Compounds , 2008, Pharmaceutical Research.
[18] Snezana Agatonovic-Kustrin,et al. Multiple pharmacokinetic parameter prediction for a series of cephalosporins. , 2003, Journal of pharmaceutical sciences.
[19] Sandeep Modi. Positioning ADMET in silico tools in drug discovery. , 2004, Drug discovery today.
[20] Stephen R. Johnson,et al. Molecular properties that influence the oral bioavailability of drug candidates. , 2002, Journal of medicinal chemistry.
[21] Adriano D Andricopulo,et al. Hologram QSAR model for the prediction of human oral bioavailability. , 2007, Bioorganic & medicinal chemistry.
[22] Paulo Paixão,et al. Prediction of the in vitro intrinsic clearance determined in suspensions of human hepatocytes by using artificial neural networks. , 2010, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.
[23] Tongtong Liu,et al. Development of In Vitro Pharmacokinetic Screens Using Caco-2, Human Hepatocyte, and Caco-2/Human Hepatocyte Hybrid Systems for the Prediction of Oral Bioavailability in Humans , 2007, Journal of biomolecular screening.
[24] S. Ekins,et al. Progress in predicting human ADME parameters in silico. , 2000, Journal of pharmacological and toxicological methods.
[25] Panos Macheras,et al. Multivariate Statistics of Disposition Pharmacokinetic Parameters for Structurally Unrelated Drugs Used in Therapeutics , 2002, Pharmaceutical Research.
[26] Bruno Boulanger,et al. Towards a new age of virtual ADME/TOX and multidimensional drug discovery , 2002, J. Comput. Aided Mol. Des..
[27] Antti Poso,et al. Quantitative structure-activity relationship analysis of inhibitors of the nicotine metabolizing CYP2A6 enzyme. , 2005, Journal of medicinal chemistry.
[28] Wei Zhang,et al. Recent advances in computational prediction of drug absorption and permeability in drug discovery. , 2006, Current medicinal chemistry.
[29] Remigijus Didziapetris,et al. Ionization-specific prediction of blood-brain permeability. , 2009, Journal of pharmaceutical sciences.
[30] Paulo Paixão,et al. Prediction of drug distribution within blood. , 2009, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.
[31] L. A. Fenu,et al. The Prediction of Drug Metabolism, Tissue Distribution, and Bioavailability of 50 Structurally Diverse Compounds in Rat Using Mechanism-Based Absorption, Distribution, and Metabolism Prediction Tools , 2007, Drug Metabolism and Disposition.
[32] Haiyan Li,et al. First-principle, structure-based prediction of hepatic metabolic clearance values in human. , 2009, European journal of medicinal chemistry.
[33] Donald E Mager,et al. Quantitative structure-pharmacokinetic/pharmacodynamic relationships. , 2006, Advanced drug delivery reviews.
[34] A. Li,et al. Screening for human ADME/Tox drug properties in drug discovery. , 2001, Drug discovery today.
[35] M Paul Gleeson,et al. Plasma protein binding affinity and its relationship to molecular structure: an in-silico analysis. , 2007, Journal of medicinal chemistry.
[36] D. Butina,et al. Predicting ADME properties in silico: methods and models. , 2002, Drug discovery today.
[37] Tingjun Hou,et al. ADME Evaluation in Drug Discovery, 7. Prediction of Oral Absorption by Correlation and Classification , 2007, J. Chem. Inf. Model..
[38] Franco Lombardo,et al. In silico ADME prediction: data, models, facts and myths. , 2003, Mini reviews in medicinal chemistry.
[39] C. Lipinski. Drug-like properties and the causes of poor solubility and poor permeability. , 2000, Journal of pharmacological and toxicological methods.
[40] Pierre Tufféry,et al. FAF-Drugs: free ADME/tox filtering of compound collections , 2006, Nucleic Acids Res..
[41] K. Luthman,et al. Correlation of drug absorption with molecular surface properties. , 1996, Journal of pharmaceutical sciences.
[42] J J Baldwin,et al. Prediction of drug absorption using multivariate statistics. , 2000, Journal of medicinal chemistry.
[43] L. A. Fenu,et al. Predicting Oral Clearance in Humans , 2008, Clinical pharmacokinetics.
[44] Harish Dureja,et al. Topological Models for Prediction of Pharmacokinetic Parameters of Cephalosporins using Random Forest, Decision Tree and Moving Average Analysis , 2008 .
[45] C. Hansch. Quantitative Relationships Between Lipophilic Character and Drug Metabolism , 1972 .
[46] A. K. Madan,et al. Topological models for prediction of physico-chemical, pharmacokinetic and toxicological properties of antihistaminic drugs using decision tree and moving average analysis , 2009, Int. J. Comput. Biol. Drug Des..
[47] Prabha Garg,et al. In Silico Prediction of Blood Brain Barrier Permeability: An Artificial Neural Network Model , 2006, J. Chem. Inf. Model..
[48] G. Grass,et al. Physiologically-based pharmacokinetic simulation modelling. , 2002, Advanced drug delivery reviews.
[49] A. Ghose,et al. A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases. , 1999, Journal of combinatorial chemistry.
[50] Melvin J. Yu. Predicting Total Clearance in Humans from Chemical Structure , 2010, J. Chem. Inf. Model..
[51] A. Madan,et al. Validation of topochemical models for the prediction of permeability through the blood-brain barrier , 2007, Acta pharmaceutica.
[52] M. Morris,et al. Quantitative Structure–Activity Relationship and Quantitative Structure–Pharmacokinetics Relationship of 1,4-Dihydropyridines and Pyridines as Multidrug Resistance Modulators , 2005, Pharmaceutical Research.
[53] G Beck,et al. Evaluation of human intestinal absorption data and subsequent derivation of a quantitative structure-activity relationship (QSAR) with the Abraham descriptors. , 2001, Journal of pharmaceutical sciences.
[54] Remigijus Didziapetris,et al. Classification structure-activity relations (C-SAR) in prediction of human intestinal absorption. , 2003, Journal of pharmaceutical sciences.
[55] Peter C. Jurs,et al. Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure , 1998, J. Chem. Inf. Comput. Sci..
[56] Yi Li,et al. Constructing Optimum Blood Brain Barrier QSAR Models Using a Combination of 4D-Molecular Similarity Measures and Cluster Analysis , 2004, J. Chem. Inf. Model..
[57] Bhupinder Singh,et al. In silico quantitative structure pharmacokinetic relationship modeling of quinolones: Apparent volume of distribution , 2009 .
[58] Edward H. Kerns,et al. Insights for Predicting Blood-Brain Barrier Penetration of CNS Targeted Molecules Using QSPR Approaches , 2010, J. Chem. Inf. Model..
[59] T. Kennedy. Managing the drug discovery/development interface , 1997 .
[60] T. Grabowski,et al. Bioavailability of veterinary drugs in vivo and in silico. , 2009, Journal of veterinary pharmacology and therapeutics.
[61] J. Lavandera,et al. Cheminformatic models to predict binding affinities to human serum albumin. , 2001, Journal of medicinal chemistry.
[62] P. Leeson,et al. A comparison of physiochemical property profiles of development and marketed oral drugs. , 2003, Journal of medicinal chemistry.
[63] Xin Wu,et al. Predicting the volume of distribution of drugs in humans. , 2008, Current drug metabolism.
[64] Jie Shen,et al. Estimation of ADME Properties with Substructure Pattern Recognition , 2010, J. Chem. Inf. Model..
[65] Yoshitaka Yano,et al. Prediction of human clearance from animal data and molecular structural parameters using multivariate regression analysis. , 2002, Journal of pharmaceutical sciences.
[66] Z R Li,et al. Quantitative structure-pharmacokinetic relationships for drug clearance by using statistical learning methods. , 2006, Journal of molecular graphics & modelling.
[67] Wilhelm Huisinga,et al. The virtual laboratory approach to pharmacokinetics: design principles and concepts. , 2006, Drug discovery today.
[68] M. Bayliss,et al. Combining high-throughput pharmacokinetic screens at the hits-to-leads stage of drug discovery. , 2000, Drug discovery today.
[69] Gordon M. Crippen,et al. Use of Classification Regression Tree in Predicting Oral Absorption in Humans , 2004, J. Chem. Inf. Model..
[70] Tingjun Hou,et al. Recent development and application of virtual screening in drug discovery: an overview. , 2004, Current pharmaceutical design.
[71] Parminder Singh,et al. In Silico Prediction of Drug Permeability Across Buccal Mucosa , 2009, Pharmaceutical Research.
[72] Marjo Yliperttula,et al. Computational prediction of oral drug absorption based on absorption rate constants in humans. , 2006, Journal of medicinal chemistry.
[73] Guo-Ping Wang,et al. Predicting blood-brain barrier penetration from molecular weight and number of polar atoms. , 2008, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.
[74] Franco Lombardo,et al. In silico prediction of volume of distribution in human using linear and nonlinear models on a 669 compound data set. , 2009, Journal of medicinal chemistry.
[75] Tingjun Hou,et al. ADME Evaluation in Drug Discovery, 6. Can Oral Bioavailability in Humans Be Effectively Predicted by Simple Molecular Property-Based Rules? , 2007, J. Chem. Inf. Model..
[76] A Rostami-Hodjegan,et al. Utilization of estimated physicochemical properties as an integrated part of predicting hepatic clearance in the early drug-discovery stage: Impact of plasma and microsomal binding , 2009, Xenobiotica; the fate of foreign compounds in biological systems.
[77] Jianzhong Liu,et al. Prediction and mechanistic interpretation of human oral drug absorption using MI-QSAR analysis. , 2007, Molecular pharmaceutics.
[78] Gabriele Cruciani,et al. Predicting human serum albumin affinity of interleukin-8 (CXCL8) inhibitors by 3D-QSPR approach. , 2005, Journal of medicinal chemistry.
[79] A K Madan,et al. Topochemical models for the prediction of permeability through blood-brain barrier. , 2006, International journal of pharmaceutics.
[80] Thomas Hofmann,et al. Predicting CNS Permeability of Drug Molecules: Comparison of Neural Network and Support Vector Machine Algorithms , 2002, J. Comput. Biol..
[81] Structure-Based Prediction of the Nonspecific Binding of Drugs to Hepatic Microsomes , 2009, The AAPS Journal.
[82] Lawrence X. Yu,et al. Predicting Human Oral Bioavailability of a Compound: Development of a Novel Quantitative Structure-Bioavailability Relationship , 2000, Pharmaceutical Research.
[83] D. E. Clark,et al. In Silico Predictions of Blood-Brain Barrier Penetration: Considerations to “Keep in Mind” , 2005, Journal of Pharmacology and Experimental Therapeutics.
[84] I Moriguchi,et al. Non-congeneric structure-pharmacokinetic property correlation studies using fuzzy adaptive least-squares: oral bioavailability. , 1994, Biological & pharmaceutical bulletin.
[85] Arun K Mandagere,et al. Graphical model for estimating oral bioavailability of drugs in humans and other species from their Caco-2 permeability and in vitro liver enzyme metabolic stability rates. , 2002, Journal of medicinal chemistry.
[86] E. Gifford,et al. The development and validation of a computational model to predict rat liver microsomal clearance. , 2009, Journal of pharmaceutical sciences.
[87] H. van de Waterbeemd,et al. ADMET in silico modelling: towards prediction paradise? , 2003, Nature reviews. Drug discovery.
[88] T. A. McIntyre,et al. Prediction of animal clearance using naïve Bayesian classification and extended connectivity fingerprints , 2009, Xenobiotica; the fate of foreign compounds in biological systems.
[89] Meihua Tu,et al. Development of a computational approach to predict blood-brain barrier permeability. , 2004, Drug metabolism and disposition: the biological fate of chemicals.
[90] A. Tropsha,et al. Development and validation of k-nearest-neighbor QSPR models of metabolic stability of drug candidates. , 2003, Journal of medicinal chemistry.
[91] D. E. Clark. Rapid calculation of polar molecular surface area and its application to the prediction of transport phenomena. 1. Prediction of intestinal absorption. , 1999, Journal of pharmaceutical sciences.
[92] Yong Seo Cho,et al. In Silico Renal Clearance Model Using Classical Volsurf Approach , 2006, J. Chem. Inf. Model..
[93] M Paul Gleeson,et al. In silico human and rat Vss quantitative structure-activity relationship models. , 2006, Journal of medicinal chemistry.
[94] Tingjun Hou,et al. ADME Evaluation in Drug Discovery, 8. The Prediction of Human Intestinal Absorption by a Support Vector Machine , 2007, J. Chem. Inf. Model..
[95] Zhi-Wei Cao,et al. Effect of Selection of Molecular Descriptors on the Prediction of Blood-Brain Barrier Penetrating and Nonpenetrating Agents by Statistical Learning Methods , 2005, J. Chem. Inf. Model..
[96] Marjo Yliperttula,et al. Passive oral drug absorption can be predicted more reliably by experimental than computational models--fact or myth. , 2008, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.