رکورد قبلیرکورد بعدی

" Virtual ADMET Assessment in Target Selection and Maturation. "


Document Type : BL
Record Number : 1028864
Doc. No : b783234
Main Entry : Testa, B.
Title & Author : Virtual ADMET Assessment in Target Selection and Maturation.
Publication Statement : Amsterdam :: IOS Press,, 2006.
Series Statement : Solvay Pharmaceuticals Conferences,; v. 6
Page. NO : 1 online resource (268 pages)
ISBN : 142946772X
: : 1433701553
: : 1607502194
: : 9781429467728
: : 9781433701559
: : 9781607502197
: 158603703X
: 9781586037031
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : 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.
Abstract : 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.
Subject : Drug development, Congresses.
Subject : Drug development-- Data processing, Congresses.
Subject : Computational Biology.
Subject : Drug Design.
Subject : Pharmaceutical Preparations.
Subject : Pharmacokinetics.
Subject : Drug development.
Subject : MEDICAL-- Drug Guides.
Subject : MEDICAL-- Nursing-- Pharmacology.
Subject : MEDICAL-- Pharmacology.
Subject : MEDICAL-- Pharmacy.
Dewey Classification : ‭615/.190285‬
LC Classification : ‭RM301.25 .V575 2006eb‬
NLM classification : ‭2008 G-399‬
: ‭QV 744‬‭V818 2006‬
Added Entry : Turski, L.
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