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SETTING THE SCENE |
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Pharmaceutical research: For what, for whom? Science and social policies (D. J. Triggle) |
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Property-based lead optimization (H. van de Waterbeemd) |
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PART 2: BIOLOGICAL STRATEGIES |
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Membranes - from barriers to magic bullets (O. G. Mouritsen) |
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Cell culture absorption models - state of the art (P. Artursson, P. Matsson) |
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Metabolic studies in drug research and development (B. Neugnot, M.-J. Bossant, F. Caradec, B. Walther) |
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In vitro, in vivo and in silico approaches to predict induction of drug metabolism (U. A. Meyer, S. Blattler, C. Gnerre, M. Oscarson, A.-K. Peyer, F. Rencurel, O. Rifki, A. Roth) |
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Coordination of uptake and efflux transporters in drug disposition (H. Kusuhara, Y. Sugiyama) |
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The role of plasma protein binding in drug discovery (R. E. Fessey, R. P. Austin, P. Barton, A. M. Davis, M. C. Wenlock) |
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In vivo pharmacokinetic profiling of drugs (H. Wunderli-Allenspach) |
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PART 3: PHYSICOCHEMICAL STRATEGIES |
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Automated parallel synthesis in support of early drug discovery: Balancing accessibility of chemistry with the design of drug-like libraries (C. M. Baldino) |
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New insights into the lipophilicity of ionized species (G. Caron, G. Ermondi) |
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Physicochemical and biological profiling in drug research. ElogD(7.4) 20,000 compounds later: refinements, observations and applications (F. Lombardo, M. Y. Shalaeva, B. D. Bissett, N. Chistokhodova) |
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Lipid bilayers in ADME: Permeation barriers and distribution compartments (S. D. Kramer) |
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High-throughput solubility, permeability, and the MAD PAMPA model (A. Avdeef) |
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Correlations between PAMPA permeability and log P (K. Box, J. Comer, F. Huque) |
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Predicting the intestinal solubility of poorly soluble drugs (A. Glomme, J. Marz, J. B. Dressman) |
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Accelerated stability profiling in drug discovery (E. H. Kerns, L. Di) |
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Physicochemical characterisation of the solid state in drug development (D. Giron) |
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PART 4: COMPUTATIONAL STRATEGIES |
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Calculation of lipophilicity: A classification of methods (R. Mannhold) |
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The concept of property space: The case of acetylcholine (G. Vistoli, A. Pedretti, L. Villa, B. Testa) |
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Prediction of site of metabolism in humans: Case studies of cytochromes P450 2C9, 2D6 and 3A4 (G. Cruciani, R. Vianello, I. Zamora) |
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Use of pharmacophores in predictive ADME (O. O. Clement, O. F. Guner) |
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The BioPrint(r) approach for the evaluation of ADME-T properties: Application to the prediction of cytochrome P450 2D6 inhibition (R. Gozalbes, F. Barbosa, N. Froloff, D. Horvath) |
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Using computer reasoning about qualitative and quantitative information to predict metabolism and toxicity (P. Judson) |
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Physiologically based pharmacokinetic models (T. Lave, H. Jones, N. Paquerau, P. Poulin, P. Theil, N. Parrott) |
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Processing of biopharmaceutical profiling data in drug discovery (K. Sugano, R. Saitoh, A. Higashida, H. Hamada) |
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PART 5: CONCLUDING CHAPTERS |
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Educational and communication issues related to profiling compounds for their drug-like properties (R. T. Borchardt) |
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Present and future significance of ADMET profiling in industrial drug research (W. Cautreels, M. de Vries, C. Hofer, H. Koster, L. Turski) |
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