Fr. 191.00

Bioisosteres in Medicinal Chemistry

Inglese · Copertina rigida

Spedizione di solito entro 3 a 5 settimane

Descrizione

Ulteriori informazioni

Written with the practicing medicinal chemist in mind, this is the first modern handbook to systematically address the topic of bioisosterism.
As such, it provides a ready reference on the principles and methods of bioisosteric replacement as a key tool in preclinical drug development.
 
The first part provides an overview of bioisosterism, classical bioisosteres and typical molecular interactions that need to be considered,
while the second part describes a number of molecular databases as sources of bioisosteric identification and rationalization. The third part
covers the four key methodologies for bioisostere identification and replacement: physicochemical properties, topology, shape, and overlays of
protein-ligand crystal structures. In the final part, several real-world examples of bioisosterism in drug discovery projects are discussed.
 
With its detailed descriptions of databases, methods and real-life case studies, this is tailor-made for busy industrial researchers with little time for reading, while remaining easily accessible to novice drug developers due to its systematic structure and introductory section.

Sommario

PREFACE
 
PART ONE: Principles
 
BIOISOSTERISM IN MEDICINAL CHEMISTRY
Introduction
Isosterism
Bioisosterism
Bioisosterism in Lead Optimization
Conclusions
 
CLASSICAL BIOISOSTERES
Introduction
Historical Background
Classical Bioisosteres
Nonclassical Bioisosteres
Summary
 
CONSEQUENCES OF BIOISOSTERIC REPLACEMENT
Introduction
Bioisosteric Groupings to Improve Permeability
Bioisosteric Groupings to Lower Intrinsic Clearance
Bioisosteric Groupings to Improve Target Potency
Conclusions and Future Perspectives
 
PART TWO: Data
 
BIOSTER: A DATABASE OF BIOISOSTERES AND BIOANALOGUES
Introduction
Historical Overview and the Development of BIOSTER
Description of BIOSTER Database
Examples
Applications
Summary
Appendix
 
MINING THE CAMBRIDGE STRUCTURAL DATABASE FOR BIOISOSTERES
Introduction
The Cambridge Structural Database
The Cambridge Structural Database System
The Relevance of the CSD to Drug Discovery
Assessing Bioisosteres: Conformational Aspects
Assessing Bioisosteres: Nonbonded Interactions
Finding Bioisosteres in the CSD: Scaffold Hopping and Fragment Linking
A Case Study: Bioisosterism of 1H-Tetrazole and Carboxylic Acid Groups
Conclusions
 
MINING FOR CONTEXT-SENSITIVE BIOISOSTERIC REPLACEMENTS IN LARGE CHEMICAL DATABASES
Introduction
Definitions
Background
Materials and Methods
Results and Discussion
Conclusions
 
PART THREE: Methods
 
PHYSICOCHEMICAL PROPERTIES
Introduction
Methods to Identify Bioisosteric Analogues
Descriptors to Characterize Properties of Substituents and Spacers
Classical Methods for Navigation in the Substituent Space
Tools to Identify Bioisosteric Groups Based on Similarity in Their Properties
Conclusions
 
MOLECULAR TOPOLOGY
Introduction
Controlled Fuzziness
Graph Theory
Data Mining
Topological Pharmacophores
Reduced Graphs
Summary
 
MOLECULAR SHAPE
Methods
Applications
Future Prospects
 
PROTEIN STRUCTURE
Introduction
Database of Ligand - Protein Complexes
Generation of Ideas for Bioisosteres
Context-Specific Bioisostere Generation
Using Structure to Understand Common Bioisosteric Replacements
Conclusions
 
PART FOUR: Applications
 
THE DRUG GURU PROJECT
Introduction
Implementation of Drug Guru
Bioisosteres
Application of Drug Guru
Quantitative Assessment of Drug Guru Transformations
Related Work
Summary: The Abbott Experience with the Drug Guru Project
 
BIOISOSTERES OF AN NPY-Y5 ANTAGONIST
Introduction
Background
Potential Bioisostere Approaches
Template Molecule Preparation
Database Molecule Preparation
Alignment and Scoring
Results and Monomer Selection
Synthesis and Screening
Discussion
SAR and Developability Optimization
Summary and Conclusion
 
PERSPECTIVES FROM MEDICINAL CHEMISTRY
Introduction
Pragmatic Bioisostere Replacement in Medicinal Chemistry: A Software Maker.s Viewpoint
The Role of Quantum Chemistry in Bioisostere Prediction
Learn from ''Naturally Drug-Like'' Compounds
Bioisosterism at the University of Sheffield

Info autore

Nathan Brown is the Head of the In Silico Medicinal Chemistry Group within the Cancer Therapeutics Unit at The Institute of Cancer Research in Sutton (UK). He conducted his doctoral research with Prof. Peter Willett at the University of Sheffield, before moving to Amsterdam (The Netherlands) for a Marie Curie fellowship in collaboration with Prof. Johann Gasteiger. This was followed by a Presidential fellowship at Novartis in Basel (Switzerland). Dr. Brown has published in a wide range of areas of computational chemistry, most notably de novo design and molecular descriptors.

Hugo Kubinyi gehört seit 1985 der BASF AG an, wo Kombinatorische Chemie, Molecular Modelling und Wirkstoffdesign zu seinen Tätigkeitsfeldern zählten. Sein Spezialgebiet sind Struktur-Wirkungs-Beziehungen und QSAR-Methoden.

Gerd Folkers is professor of pharmaceutical chemistry at the ETH Zürich since 1991. He studied pharmacy at the University of Bonn and earned his Ph.D. on structure-activity relationships of desapurines. He then moved to the University of Tübingen, where he completed his habilitation in pharmaceutical chemistry. During a stay with H.-D. Hoeltje in Bern, he studied new research methods in computer-aided molecular design and expanded this knowledge during other stays with T. Blundell at the Birkbeck College and E. Meyer at Texas A&M University.The focus of his research is the molecular interaction between drugs and their binding sites. Besides his work on the molecular mechanism of "conventional" nucleoside therapeutics against virus infections and cancer, his special interest has shifted to immuno-therapeutics.

Riassunto

Written with the practicing medicinal chemist in mind, this is the first modern handbook to systematically address the topic of bioisosterism.
As such, it provides a ready reference on the principles and methods of bioisosteric replacement as a key tool in preclinical drug development.
 
The first part provides an overview of bioisosterism, classical bioisosteres and typical molecular interactions that need to be considered,
while the second part describes a number of molecular databases as sources of bioisosteric identification and rationalization. The third part
covers the four key methodologies for bioisostere identification and replacement: physicochemical properties, topology, shape, and overlays of
protein-ligand crystal structures. In the final part, several real-world examples of bioisosterism in drug discovery projects are discussed.
 
With its detailed descriptions of databases, methods and real-life case studies, this is tailor-made for busy industrial researchers with little time for reading, while remaining easily accessible to novice drug developers due to its systematic structure and introductory section.

Relazione

"In all, I believe this book is a musthave handbook on bioisosteres. It is highly valuable both as a text book for graduate students and as a book of reference for the medicinal chemist working in the industry as well as in an academic setting." ( ChemMedChem , 1 July 2013)

Dettagli sul prodotto

Autori Nathan Brown, Gerd Folkers, Hugo Kubinyi, Raimund Mannhold
Con la collaborazione di Nathan Brown (Editore), Gerd Folkers (Editore), Hugo Kubinyi (Editore), Hugo Kubinyi et al (Editore), Raimun Mannhold (Editore), Raimund Mannhold (Editore), Gerd Folkers (Editore della collana), Hugo Kubinyi (Editore della collana), Raimund Mannhold (Editore della collana)
Editore Wiley-VCH
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 01.08.2012
 
EAN 9783527330157
ISBN 978-3-527-33015-7
Pagine 238
Dimensioni 173 mm x 246 mm x 16 mm
Peso 624 g
Illustrazioni 73 SW-Abb., 13 Farbabb., 27 Tabellen
Serie Methods and Principles in Medicinal Chemistry
Methods and Principles in Medicinal Chemistry
Categorie Scienze naturali, medicina, informatica, tecnica > Chimica

Chemie, Wirkstoffforschung, chemistry, MEDIZINISCHE CHEMIE, Wirkstoffforschung u. -entwicklung, Drug Discovery & Development, Biochemie u. Chemische Biologie, Biochemistry (Chemical Biology), Computational Chemistry u. Molecular Modeling, Computational Chemistry & Molecular Modeling

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