1.

Record Nr.

UNINA9910133588303321

Autore

Tsaioun Katya

Titolo

ADMET for Medicinal Chemists [[electronic resource] ] : A Practical Guide

Pubbl/distr/stampa

Hoboken, : Wiley, 2012

ISBN

1-280-59122-6

9786613621054

0-470-91509-9

0-470-91511-0

Descrizione fisica

1 online resource (524 p.)

Altri autori (Persone)

KatesSteven A

Disciplina

615.19

615/.19

Soggetti

Drug Design

Drug Toxicity

Drugs - Testing

Drugs --Testing --Juvenile literature

Pharmaceutical Preparations - chemistry

Pharmacokinetics

Metabolic Phenomena

Drug Discovery

Pharmacological Phenomena

Natural Science Disciplines

Kinetics

Chemicals and Drugs

Poisoning

Biochemical Phenomena

Chemistry, Pharmaceutical

Substance-Related Disorders

Disciplines and Occupations

Investigative Techniques

Physiological Phenomena

Phenomena and Processes

Chemical Phenomena

Diseases

Pharmacology

Analytical, Diagnostic and Therapeutic Techniques and Equipment

Biological Science Disciplines

Chemistry



Pharmaceutical Preparations

Health & Biological Sciences

Pharmacy, Therapeutics, & Pharmacology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di contenuto

ADMET for Medicinal Chemists: A Practical Guide; CONTENTS; Preface; Contributors; 1 Introduction; 1.1 Introduction; 1.2 Voyage Through The Digestive System; 1.2.1 The Mouth; 1.2.2 The Stomach; 1.2.3 The Small Intestine: Duodenum; 1.2.4 The Small and Large Intestine: Jejunum, Ileum, Colon; 1.2.5 Hepatic-Portal Vein; 1.3 The Liver Metabolism; 1.3.1 CYP450 (CYPs); 1.4 The Kidneys; 1.4.1 Active Tubular Secretion; 1.4.2 Passive Tubular Reabsorption; 1.5 Conclusions; References; 2 In Silico ADME/Tox Predictions; 2.1 Introduction; 2.2 Key Computer Methods for ADME/Tox Predictions

2.2.1 Drug Discovery2.2.2 Applying or Not ADME/Tox Predictions, Divided Opinions; 2.2.3 In Silico ADME/Tox Methods and Modeling Approaches; 2.2.4 Physicochemistry, Pharmacokinetics, Drug-Like and Lead-Like Concepts; 2.2.5 Lipophilicity; 2.2.6 pKa; 2.2.7 Transport Proteins; 2.2.8 Plasma Protein Binding; 2.2.9 Metabolism; 2.2.10 Elimination; 2.2.11 Toxicity; 2.3 Preparation of Compound Collections and Computer Programs, Challenging ADME/Tox Predictions and Statistical Methods; 2.3.1 Preparation of Compound Collections and Computer Programs

2.3.2 Preparing a Compound Collection: Materials and Methods2.3.3 Cleaning and Designing the Compound Collection; 2.3.4 Searching for Similarity; 2.3.5 Generating 3D Structures; 2.4 ADME/Tox Predictions within Pharmaceutics Companies; 2.4.1 Actelion Pharmaceuticals Ltd.; 2.4.2 Bayer; 2.4.3 Bristol-Myers Squibb; 2.4.4 Hoffmann-La Roche Ltd.; 2.4.5 Neurogen Corporation; 2.4.6 Novartis; 2.4.7 Schering AG; 2.4.8 Vertex Pharmaceuticals; 2.5 Challenging ADME/Tox Predictions; 2.5.1 Tolcapone; 2.5.2 Factor V Inhibitors; 2.5.3 CRF-1 Receptor Antagonists; 2.6 Statistical Methods

2.6.1 Principal Component Analysis2.6.2 Partial Least Square; 2.6.3 Support Vector Machine; 2.6.4 Decision Trees; 2.6.5 Neural Networks; 2.7 Conclusions; References; 3 Absorption and Physicochemical Properties of the NCE; 3.1. Introduction; 3.2. Physicochemical Properties; 3.3. Stability; 3.4. Dissolution and Solubility; 3.4.1. Dissolution Rate, Particle Size, and Solubility; 3.4.2. pH and Salts; 3.4.3. In Vivo Solubilization; 3.5. Solid State; References; 4 ADME; 4.1 Introduction; 4.2 Absorption; 4.2.1 Route of Administration; 4.2.2 Factors Determining Oral Bioavailability; 4.3 Distribution

4.3.1 Drug Distribution4.3.2 Volume of Distribution; 4.3.3 Free Drug Concentration; 4.3.4 CNS Penetration; 4.4 Elimination; 4.4.1 Elimination Versus Clearance; 4.4.2 Metabolism Versus Excretion; 4.4.3 Drug-Free Fraction and Clearance; 4.4.4 Lipophilicity and Clearance; 4.4.5 Transporters and Clearance; 4.4.6 Metabolism; 4.4.7 Excretion; 4.5 Drug Interactions; 4.5.1 Absorption-Driven DDI; 4.5.2 Distribution-Driven DDI; 4.5.3 Excretion-Driven DDI; 4.5.4 Metabolism-Driven DDI; 4.5.5 Tools for Studying Drug Metabolism; 4.5.6 Applications of Drug Metabolism Tools



4.5.7 Tools for Studying Drug Excretion

Sommario/riassunto

This book guides medicinal chemists in how to implement early ADMET testing in their workflow in order to improve both the speed and efficiency of their efforts. Although many pharmaceutical companies have dedicated groups directly interfacing with drug discovery, the scientific principles and strategies are practiced in a variety of different ways. This book answers the need to regularize the drug discovery interface; it defines and reviews the field of ADME for medicinal chemists. In addition, the scientific principles and the tools utilized by ADME scientists in a discovery setting, as appl