RUG-LIKE PROPERTIES: Concepts, Structure Design and Methods from ADME to Toxicity Optimization

Kerns, Edward H. and Li Di

ISBN 10: 0123695201 / ISBN 13: 9780123695208

Edité par Elsevier / Academic Press, 2008

A propos de cet article

1st edition, with full number line. A Near Fine copy. 4to., xix, 526 pp., illustrated with b&w drawings, charts, and diagrams.Bound in white, glossy, paper boards.

N° de réf. du vendeur 33073

Détails bibliographiques

• Titre: RUG-LIKE PROPERTIES: Concepts, Structure Design and Methods from ADME to Toxicity Optimization
• Éditeur: Elsevier / Academic Press
• Date de parution: 2008
• Langue: anglais
• ISBN à 10 chiffres: 0123695201
• ISBN à 13 chiffres: 9780123695208
• Reliure: Hardcover
• Édition: 1st edition.
• État de l'article: Near Fine
• Catalogues du vendeur:
  • Science

A propos de ce titre

Synopsis

Of the thousands of novel compounds that a drug discovery project team invents and that bind to the therapeutic target, typically only a fraction of these have sufficient ADME/Tox properties to become a drug product. Understanding ADME/Tox is critical for all drug researchers, owing to its increasing importance in advancing high quality candidates to clinical studies and the processes of drug discovery. If the properties are weak, the candidate will have a high risk of failure or be less desirable as a drug product. This book is a tool and resource for scientists engaged in, or preparing for, the selection and optimization process. The authors describe how properties affect in vivo pharmacological activity and impact in vitro assays. Individual drug-like properties are discussed from a practical point of view, such as solubility, permeability and metabolic stability, with regard to fundamental understanding, applications of property data in drug discovery and examples of structural modifications that have achieved improved property performance. The authors also review various methods for the screening (high throughput), diagnosis (medium throughput) and in-depth (low throughput) analysis of drug properties.

À propos de l?auteur

Li Di is an Associate Research Fellow at Pfizer, USA