TY - BOOK AU - Testa,B. AU - Turski,L. TI - Virtual ADMET Assessment in Target Selection and Maturation T2 - Solvay Pharmaceuticals Conferences, SN - 9781433701559 AV - RM301.25 .V575 2006eb U1 - 615/.190285 PY - 2006/// CY - Amsterdam PB - IOS Press KW - Drug development KW - Data processing KW - Congresses KW - Drugs KW - Pharmacokinetics KW - Design KW - Pharmaceutical Preparations KW - Drug Design KW - Computational Biology KW - Médicaments KW - Développement KW - Informatique KW - Congrès KW - Pharmacocinétique KW - Conception KW - Bio-informatique KW - MEDICAL KW - Drug Guides KW - bisacsh KW - Pharmacology KW - Pharmacy KW - Nursing KW - fast KW - Electronic book KW - Congress KW - Electronic books KW - Conference papers and proceedings KW - lcgft KW - Actes de congrès KW - rvmgf N1 - Includes bibliographical references and index; Preface; List of Contributors; Contents; Conference Preface; The Risky Business of Developing Drugs; Benefits and Limits of in Silico Predictions; Musings on ADME Predictions and Molecular Structure; Lipophilicity: Its Calculation and Application in ADMET Predictions; Interpretation of the Role of the Electrotopological State and Molecular Connectivity Indices in the Prediction of Physical Properties and ADME-Tox Behavior -- Case Study: Human Plasma Protein Binding; Molecular Descriptors for Predicting ADMET Properties; Molecular Fields to Assess Recognition Forces and Property Spaces; Extracting Pharmacophores from Bio-Active MoleculesIn Silico Models for Human Bioavailability; In Silico Models to Predict Brain Uptake; Algorithms to Predict Affinity for Transporters; Predicting Affinity for and Metabolism by Cytochromes P450; Expert Systems to Predict Biotransformation; Expert Systems to Predict Toxicity; From in Vivo to in Vitro/in Silico ADME: Progress and Challenges; Author Index N2 - Today, biologists and medicinal chemists realize that there is a strong relationship between pharmacodynamic (what the drug does to the organism) and pharmacokinetic (what the organism does to the drug) effects. A significant contributing factor to the evolution in drug discovery was the methodological and technological revolution with the advent of combinatorial chemistry, high-throughput screening and profiling, and in silico prediction of target-based activity and ADMET (absorption, distribution, metabolism, excretion and toxicity) properties. High-throughput screening and in silico methods UR - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=187952 ER -