Chapter 5 Recent Advances on in silico ADME Modeling
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[1] Ruifeng Liu,et al. Development of Quantitative Structure-Property Relationship Models for Early ADME Evaluation in Drug Discovery. 1. Aqueous Solubility , 2001, J. Chem. Inf. Comput. Sci..
[2] William J. Welsh,et al. New Predictive Models for Blood–Brain Barrier Permeability of Drug-like Molecules , 2008, Pharmaceutical Research.
[3] G. Grass,et al. Effect of diverse datasets on the predictive capability of ADME models in drug discovery , 2001 .
[4] P. Sivakumar,et al. QSAR studies on chalcones and flavonoids as anti-tuberculosis agents using genetic function approximation (GFA) method. , 2007, Chemical & pharmaceutical bulletin.
[5] Igor V. Tetko,et al. Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices , 2001, J. Chem. Inf. Comput. Sci..
[6] Robert C. Glen,et al. Solubility Challenge: Can You Predict Solubilities of 32 Molecules Using a Database of 100 Reliable Measurements? , 2008, J. Chem. Inf. Model..
[7] 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..
[8] S. Ekins,et al. In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling , 2007, British journal of pharmacology.
[9] C. Dobson. Chemical space and biology , 2004, Nature.
[10] Jarmo Huuskonen,et al. Estimation of Aqueous Solubility for a Diverse Set of Organic Compounds Based on Molecular Topology , 2000, J. Chem. Inf. Comput. Sci..
[11] Matthew D. Segall,et al. Automatic QSAR modeling of ADME properties: blood–brain barrier penetration and aqueous solubility , 2008, J. Comput. Aided Mol. Des..
[12] 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..
[13] Seung-Hoon Choi,et al. Artificial neural network models for prediction of intestinal permeability of oligopeptides , 2007, BMC Bioinformatics.
[14] Maykel Pérez González,et al. Applications of 2D descriptors in drug design: a DRAGON tale. , 2008, Current topics in medicinal chemistry.
[15] Junmei Wang,et al. Structure – ADME relationship: still a long way to go? , 2008, Expert opinion on drug metabolism & toxicology.
[16] R. Dayam,et al. Discovery of structurally diverse HIV-1 integrase inhibitors based on a chalcone pharmacophore. , 2007, Bioorganic & medicinal chemistry.
[17] Tingjun Hou,et al. Development of Reliable Aqueous Solubility Models and Their Application in Druglike Analysis , 2007, J. Chem. Inf. Model..
[18] Sean Ekins,et al. Pharmacophore-based discovery of ligands for drug transporters. , 2006, Advanced drug delivery reviews.
[19] Carlos A. Montanari,et al. In Silico Prediction of Human Plasma Protein Binding Using Hologram QSAR , 2007 .
[20] Yongjun Wang,et al. Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction , 2008, J. Comput. Aided Mol. Des..
[21] Ming Zhao,et al. (3S)-N-(L-Aminoacyl)-1,2,3,4-tetrahydroisoquinolines, a class of novel antithrombotic agents: synthesis, bioassay, 3D QSAR, and ADME analysis. , 2008, Bioorganic & Medicinal Chemistry.
[22] Takayuki Ito,et al. Novel Hierarchical Classification and Visualization Method for Multiobjective Optimization of Drug Properties: Application to Structure-Activity Relationship Analysis of Cytochrome P450 Metabolism , 2008, J. Chem. Inf. Model..
[23] F. Lombardo,et al. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings , 1997 .
[24] COMPUTER-AIDED MOLECULAR DESIGN OF NOVEL HMG-CoA REDUCTASE INHIBITORS FOR THE TREATMENT OF HYPERCHOLESTEROLEMIA , 2007 .
[25] Kjell Johnson,et al. Moving in Silico Screening into Practice: A Minimalist Approach to Guide Permeability Screening!! , 2006 .
[26] Hao Zhu,et al. Estimation of the Aqueous Solubility of Organic Molecules by the Group Contribution Approach , 2001, J. Chem. Inf. Comput. Sci..
[27] Shane Weaver,et al. The importance of the domain of applicability in QSAR modeling. , 2008, Journal of molecular graphics & modelling.
[28] P. Carrupt,et al. Molecular fields in quantitative structure–permeation relationships: the VolSurf approach , 2000 .
[29] M. Abraham,et al. A data base for partition of volatile organic compounds and drugs from blood/plasma/serum to brain, and an LFER analysis of the data. , 2006, Journal of pharmaceutical sciences.
[30] David S. Wishart,et al. Improving Early Drug Discovery through ADME Modelling , 2007 .
[31] S. Yalkowsky,et al. Estimation of the aqueous solubility I: application to organic nonelectrolytes. , 2001, Journal of pharmaceutical sciences.
[32] Alexander Hillisch,et al. Improving the hit-to-lead process: data-driven assessment of drug-like and lead-like screening hits. , 2006, Drug discovery today.
[33] Brian K. Shoichet,et al. ZINC - A Free Database of Commercially Available Compounds for Virtual Screening , 2005, J. Chem. Inf. Model..
[34] Tingjun Hou,et al. ADME Evaluation in Drug Discovery, 7. Prediction of Oral Absorption by Correlation and Classification , 2007, J. Chem. Inf. Model..
[35] Dipankar Sengupta,et al. Docking-MM-GB/SA and ADME Screening of HIV-1 NNRTI Inhibitor: Nevirapine and its Analogues , 2008, Silico Biol..
[36] Pierre Tufféry,et al. FAF-Drugs: free ADME/tox filtering of compound collections , 2006, Nucleic Acids Res..
[37] Ruifeng Liu,et al. Scores of Extended Connectivity Fingerprint as Descriptors in QSPR Study of Melting Point and Aqueous Solubility , 2008, J. Chem. Inf. Model..
[38] I. Kola,et al. Can the pharmaceutical industry reduce attrition rates? , 2004, Nature Reviews Drug Discovery.
[39] B Testa,et al. In silico pharmacology for drug discovery: applications to targets and beyond , 2007, British journal of pharmacology.
[40] Andreas Klamt,et al. Prediction of Blood-Βrain Partitioning and Human Serum Albumin Binding Based on COSMO-RS σ-Moments , 2007, J. Chem. Inf. Model..
[41] 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.
[42] Maria Guangli,et al. Predicting Caco-2 permeability using support vector machine and chemistry development kit. , 2006, Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques.
[43] Olivier Sperandio,et al. FAF-Drugs2: Free ADME/tox filtering tool to assist drug discovery and chemical biology projects , 2008, BMC Bioinformatics.
[44] S. Ekins,et al. Progress in predicting human ADME parameters in silico. , 2000, Journal of pharmacological and toxicological methods.
[45] Tingjun Hou,et al. ADME Evaluation in Drug Discovery. 4. Prediction of Aqueous Solubility Based on Atom Contribution Approach , 2004, J. Chem. Inf. Model..
[46] T Abshear,et al. A model validation and consensus building environment , 2006, SAR and QSAR in environmental research.
[47] Dipankar Sengupta,et al. Docking mode of delvardine and its analogues into the p66 domain of HIV-1 reverse transcriptase: screening using molecular mechanics-generalized born/surface area and absorption, distribution, metabolism and excretion properties , 2007, Journal of Biosciences.
[48] Gábor Csányi,et al. Gaussian Processes: A Method for Automatic QSAR Modeling of ADME Properties , 2007, J. Chem. Inf. Model..
[49] Teodorico C. Ramalho,et al. In silico prediction of novel phosphodiesterase type-5 inhibitors derived from Sildenafil, Vardenafil and Tadalafil. , 2008, Bioorganic & medicinal chemistry.
[50] John G. Topliss,et al. QSAR Model for Drug Human Oral Bioavailability1 , 2000 .
[51] Adriano D Andricopulo,et al. Hologram QSAR model for the prediction of human oral bioavailability. , 2007, Bioorganic & medicinal chemistry.
[52] Yojiro Sakiyama,et al. Predicting human liver microsomal stability with machine learning techniques. , 2008, Journal of molecular graphics & modelling.
[53] Wei Zhang,et al. Recent advances in computational prediction of drug absorption and permeability in drug discovery. , 2006, Current medicinal chemistry.
[54] Johann Gasteiger,et al. Prediction of Aqueous Solubility of Organic Compounds Based on a 3D Structure Representation , 2003, J. Chem. Inf. Comput. Sci..
[55] Sonu Sundd Singh,et al. Preclinical pharmacokinetics: an approach towards safer and efficacious drugs. , 2006, Current drug metabolism.
[56] Stephen R. Johnson,et al. Molecular properties that influence the oral bioavailability of drug candidates. , 2002, Journal of medicinal chemistry.
[57] Junmei Wang,et al. Genetic Algorithm-Optimized QSPR Models for Bioavailability, Protein Binding, and Urinary Excretion , 2006, J. Chem. Inf. Model..
[58] U Norinder,et al. Theoretical calculation and prediction of intestinal absorption of drugs in humans using MolSurf parametrization and PLS statistics. , 1999, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.
[59] Richard Svensson,et al. Introduction to in vitro estimation of metabolic stability and drug interactions of new chemical entities in drug discovery and development. , 2006, Pharmacological reports : PR.
[60] Weida Tong,et al. Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics , 2008, J. Chem. Inf. Model..
[61] Yvan Vander Heyden,et al. Benchmarking of QSAR Models for Blood-Brain Barrier Permeation , 2007, J. Chem. Inf. Model..
[62] Louis Leung,et al. The Evolving Role of Drug Metabolism in Drug Discovery and Development , 2007, Pharmaceutical Research.
[63] J. Delaney. Predicting aqueous solubility from structure. , 2005, Drug discovery today.
[64] W. L. Jorgensen,et al. Prediction of drug solubility from structure. , 2002, Advanced drug delivery reviews.
[65] Tingjun Hou,et al. ADME Evaluation in Drug Discovery. 5. Correlation of Caco-2 Permeation with Simple Molecular Properties , 2004, J. Chem. Inf. Model..
[66] K. Luthman,et al. Correlation of drug absorption with molecular surface properties. , 1996, Journal of pharmaceutical sciences.
[67] Marc C Nicklaus,et al. Virtual screening application of a model of full-length HIV-1 integrase complexed with viral DNA. , 2007, Bioorganic & medicinal chemistry letters.
[68] Marc Parham,et al. Prediction of aqueous solubility based on large datasets using several QSPR models utilizing topological structure representation. , 2004, Chemistry & biodiversity.
[69] T. Poulos,et al. Minimal pharmacophoric elements and fragment hopping, an approach directed at molecular diversity and isozyme selectivity. Design of selective neuronal nitric oxide synthase inhibitors. , 2008, Journal of the American Chemical Society.
[70] Tingjun Hou,et al. Aqueous Solubility Prediction Based on Weighted Atom Type Counts and Solvent Accessible Surface Areas , 2009, J. Chem. Inf. Model..
[71] Lawrence X. Yu,et al. Predicting Human Oral Bioavailability of a Compound: Development of a Novel Quantitative Structure-Bioavailability Relationship , 2000, Pharmaceutical Research.
[72] S. Miertus,et al. Design of peptidomimetic inhibitors of aspartic protease of HIV-1 containing -Phe Psi Pro- core and displaying favourable ADME-related properties. , 2008, Journal of molecular graphics & modelling.
[73] Peter C. Jurs,et al. Prediction of Aqueous Solubility of Organic Compounds from Molecular Structure , 1998, J. Chem. Inf. Comput. Sci..
[74] Aixia Yan,et al. Prediction of Human Intestinal Absorption by GA Feature Selection and Support Vector Machine Regression , 2008, International journal of molecular sciences.
[75] Johann Gasteiger,et al. Explorations into modeling human oral bioavailability. , 2008, European journal of medicinal chemistry.
[76] 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.
[77] Francisco Torrens,et al. Estimation of ADME properties in drug discovery: predicting Caco-2 cell permeability using atom-based stochastic and non-stochastic linear indices. , 2007, Journal of pharmaceutical sciences.
[78] Bahram Hemmateenejad,et al. Accurate prediction of the blood–brain partitioning of a large set of solutes using ab initio calculations and genetic neural network modeling , 2006, J. Comput. Chem..