Tolbutamide

Papers

Calcium Influx Into MIN6 Insulinoma Cells Induces Expression Of Egr-1 Involving Extracellular Signal-regulated Protein Kinase And The Transcription Factors Elk-1 And CREB. Mayer, S.I., and Thiel, G. Eur. J. Cell Biol. 88, 19-33, (2009)

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Inhibition of β-cell sodium-calcium exchange enhances glucose-dependent elevations in cytoplasmic calcium and insulin secretion. Kevin S.C. Hamming et al Diabetes 59, 1686-93, (2010)

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Predicting human serum albumin affinity of interleukin-8 (CXCL8) inhibitors by 3D-QSPR approach. Loretta Aureli et al J. Med. Chem. 48, 2469-79, (2005)

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In silico and in vitro filters for the fast estimation of skin permeation and distribution of new chemical entities. Giorgio Ottaviani et al J. Med. Chem. 50, 742-8, (2007)

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Design, synthesis, and biological evaluation of substituted-N-(thieno[2,3-b]pyridin-3-yl)-guanidines, N-(1H-pyrrolo[2,3-b]pyridin-3-yl)-guanidines, and N-(1H-indol-3-yl)-guanidines. Rajesh H Bahekar et al Bioorg. Med. Chem. 15, 3248-65, (2007)

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Synthesis of 3,8,9-trisubstituted-1,7,9-triaza-fluorene-6-carboxylic acid derivatives as a new class of insulin secretagogues. Rajesh H Bahekar et al Bioorg. Med. Chem. 15, 5950-64, (2007)

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Synthesis and antidiabetic activity of 2,5-disubstituted-3-imidazol-2-yl-pyrrolo[2,3-b]pyridines and thieno[2,3-b]pyridines Bahekar, R. H.; et al. Bioorg. Med. Chem. 15, 6782, (2007)

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Hologram QSAR model for the prediction of human oral bioavailability. Tiago L Moda et al Bioorg. Med. Chem. 15, 7738-45, (2007)

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Structures of steroidal alkaloid oligoglycosides, robeneosides A and B, and antidiabetogenic constituents from the Brazilian medicinal plant Solanum lycocarpum. Masayuki Yoshikawa et al J. Nat. Prod. 70, 210-4, (2007)

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Chemical genetics reveals a complex functional ground state of neural stem cells Diamandis, P., et. al. Nat. Chem. Biol. 3(5), 268-273, (2007)

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Three-dimensional quantitative structure-activity relationship analysis of human CYP51 inhibitors. Sean Ekins et al Drug Metab. Dispos. 35, 493-500, (2007)

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New approach to measure protein binding based on a parallel artificial membrane assay and human serum albumin. Elisabet Lázaro et al J. Med. Chem. 51, 2009-17, (2008)

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Quantitative structure-activity relationship and complex network approach to monoamine oxidase A and B inhibitors. Lourdes Santana et al J. Med. Chem. 51, 6740-51, (2008)

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Air to lung partition coefficients for volatile organic compounds and blood to lung partition coefficients for volatile organic compounds and drugs. Michael H Abraham et al Eur. J. Med. Chem. 43, 478-85, (2008)

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Trend analysis of a database of intravenous pharmacokinetic parameters in humans for 670 drug compounds. R Scott Obach et al Drug Metab. Dispos. 36, 1385-405, (2008)

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Physicochemical determinants of human renal clearance. Manthena V S Varma et al J. Med. Chem. 52, 4844-52, (2009)

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First-principle, structure-based prediction of hepatic metabolic clearance values in human. Haiyan Li et al Eur. J. Med. Chem. 44, 1600-6, (2009)

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Prediction of volume of distribution values in human using immobilized artificial membrane partitioning coefficients, the fraction of compound ionized and plasma protein binding data. Xiaofan Sui et al Eur. J. Med. Chem. 44, 4455-60, (2009)

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Physicochemical space for optimum oral bioavailability: contribution of human intestinal absorption and first-pass elimination. Manthena V S Varma et al J. Med. Chem. 53, 1098-108, (2010)

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Development of an in silico model for human skin permeation based on a Franz cell skin permeability assay. Pil H Lee et al Bioorg. Med. Chem. Lett. 20, 69-73, (2010)

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Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species. Francisco J Prado-Prado et al Bioorg. Med. Chem. 18, 2225-31, (2010)

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QSAR-based solubility model for drug-like compounds. Rafael Gozalbes et al Bioorg. Med. Chem. 18, 7078-84, (2010)

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A combined spectroscopic and crystallographic approach to probing drug-human serum albumin interactions. David Buttar et al Bioorg. Med. Chem. 18, 7486-96, (2010)

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Developing structure-activity relationships for the prediction of hepatotoxicity. Nigel Greene et al Chem. Res. Toxicol. 23, 1215-22, (2010)

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Cheminformatics analysis of assertions mined from literature that describe drug-induced liver injury in different species. Denis Fourches et al Chem. Res. Toxicol. 23, 171-83, (2010)

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Neural computational prediction of oral drug absorption based on CODES 2D descriptors. A Guerra et al Eur. J. Med. Chem. 45, 930-40, (2010)

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The Japanese toxicogenomics project: application of toxicogenomics. Takeki Uehara et al Mol. Nutr. Food. Res. 54, 218-27, (2010)

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A predictive ligand-based Bayesian model for human drug-induced liver injury. Sean Ekins et al Drug Metab. Dispos. 38, 2302-8, (2010)

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Elucidation of common pharmacophores from analysis of targeted metabolites transported by the multispecific drug transporter-Organic anion transporter1 (Oat1). Valentina L Kouznetsova et al Bioorg. Med. Chem. 19, 3320-40, (2011)

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Prediction of drug intestinal absorption by new linear and non-linear QSPR. Alan Talevi et al Eur. J. Med. Chem. 46, 218-28, (2011)

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FDA-approved drug labeling for the study of drug-induced liver injury. Minjun Chen et al Drug Discov. Today 16, 697-703, (2011)

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Translating Clinical Findings into Knowledge in Drug Safety Evaluation - Drug Induced Liver Injury Prediction System (DILIps). Zhichao Liu et al PLoS Comput. Biol. 7, e1002310, (2011)

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Putative active site template model for cytochrome P4502C9 (tolbutamide hydroxylase). Jones, B.C., et al. Drug Metab. Dispos. 24, 260-266, (1996)

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Merck 14,9507