Can the Internet help to meet the challenges in ADME and e-ADME?

The high-throughput screening (HTS) of large proprietary compound collections and combinatorial libraries has put an increased pressure on getting pharmacokinetic and drug metabolism data as early as possible. Properties related to absorption, distribution, metabolism and excretion (ADME) can be estimated by a range of in vivo and in vitro methods. Most are now available or under development in high(er) throughput modus. In addition progress has been made in in silico methods using various QSAR and modeling techniques using a range of recently introduced descriptors tailored to e-ADME. These approaches are promising as a filter for virtual libraries to decide on synthesis as well as in the selection of compounds for acquisition and screening. This paper will discuss a number of Internet resources relevant to ADME studies and predictions. We have focused on areas related to metabolism including metabolic pathways and P450 metabolism, transporters, bioavailability and absorption, pharmacokinetics and pharmacodynamics, molecular properties and tools for data analysis.

[1]  A. Li,et al.  Screening for human ADME/Tox drug properties in drug discovery. , 2001, Drug discovery today.

[2]  S. Ekins,et al.  Progress in predicting human ADME parameters in silico. , 2000, Journal of pharmacological and toxicological methods.

[3]  J Devillers,et al.  e-Statistics for deriving QSAR models , 2002, SAR and QSAR in environmental research.

[4]  S. Ekins,et al.  Present and future in vitro approaches for drug metabolism. , 2000, Journal of pharmacological and toxicological methods.

[5]  T. Kennedy Managing the drug discovery/development interface , 1997 .

[6]  U Norinder,et al.  Experimental and computational screening models for the prediction of intestinal drug absorption. , 2001, Journal of medicinal chemistry.

[7]  Malcolm Rowland,et al.  Physiologic modeling of cyclosporin kinetics in rat and man , 1991, Journal of Pharmacokinetics and Biopharmaceutics.

[8]  R A Morrison,et al.  Current methodologies used for evaluation of intestinal permeability and absorption. , 2000, Journal of pharmacological and toxicological methods.

[9]  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.

[10]  Lawrence X. Yu,et al.  Predicting Human Oral Bioavailability of a Compound: Development of a Novel Quantitative Structure-Bioavailability Relationship , 2000, Pharmaceutical Research.

[11]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. , 2001, Advanced drug delivery reviews.

[12]  A. Alex,et al.  Novel approach to predicting P450-mediated drug metabolism: development of a combined protein and pharmacophore model for CYP2D6. , 1999, Journal of medicinal chemistry.

[13]  J. Topliss,et al.  QSAR model for drug human oral bioavailability. , 2000, Journal of medicinal chemistry.

[14]  A J M Carpy WWW small molecule modeling , 2002, SAR and QSAR in environmental research.

[15]  S. Anzali,et al.  Discriminating between drugs and nondrugs by prediction of activity spectra for substances (PASS). , 2001, Journal of medicinal chemistry.

[16]  D A Smith,et al.  Pharmacokinetics and metabolism in early drug discovery. , 1999, Current opinion in chemical biology.

[17]  S. Ekins,et al.  Three- and four-dimensional-quantitative structure activity relationship (3D/4D-QSAR) analyses of CYP2C9 inhibitors. , 2000, Drug metabolism and disposition: the biological fate of chemicals.

[18]  H. Kubinyi,et al.  A scoring scheme for discriminating between drugs and nondrugs. , 1998, Journal of medicinal chemistry.

[19]  Han van de Waterbeemd,et al.  Property-Based Design: Optimization of Drug Absorption and Pharmacokinetics , 2001 .

[20]  Igor V. Tetko,et al.  Internet Software for the Calculation of the Lipophilicity and Aqueous Solubility of Chemical Compounds , 2001, J. Chem. Inf. Comput. Sci..

[21]  B. Walther,et al.  Rapid assessment of drug metabolism in the drug discovery process. , 2000, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[22]  D. E. Clark,et al.  Rapid calculation of polar molecular surface area and its application to the prediction of transport phenomena. 2. Prediction of blood-brain barrier penetration. , 1999, Journal of pharmaceutical sciences.

[23]  M. Feher,et al.  A simple model for the prediction of blood-brain partitioning. , 2000, International journal of pharmaceutics.