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Drug design strategies : quantitative approaches /

This book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatic...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Livingstone, D. (David), Davis, Andrew M. (Chemist)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : [LaVergne] : Royal Society of Chemistry ; [Ingram Publisher Services], ©2012.
Colección:RSC drug discovery series ; 13.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Drug design strategies :  |b quantitative approaches /  |c edited by David J. Livingstone, Andrew M. Davis. 
260 |a Cambridge :  |b Royal Society of Chemistry ;  |a [LaVergne] :  |b [Ingram Publisher Services],  |c ©2012. 
300 |a 1 online resource (516 pages) :  |b illustrations 
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490 1 |a RSC Drug Discovery Series ;  |v no. 13 
504 |a Includes bibliographical references and index. 
520 3 |a This book brings together drug design practitioners, all leaders in their field, who are actively advancing the field of quantitative methods to guide drug discovery, from structure-based design to empirical statistical models - from rule-based approaches to toxicology to the fields of bioinformatics and systems biology. The aim of the book is to show how various facets of the drug discovery process can be addressed in a quantitative fashion (ie: numerical analysis to enable robust predictions to be made). Each chapter includes a brief review of the topic showing the historical development of quantitative approaches, a survey/summary of the current state-of-the-art, a selection of well chosen examples with some worked through and an appreciation of what problems remain to be overcome as well as an indication of how the field may develop. After an overview of quantitative approaches to drug design the book describes the development of concepts of "drug-like properties", of quantitative structure-activity relationships and molecular modelling, and in particular, structure-based design approaches to guide lead optimisation. How to manage and describe chemical structures, underpins all quantitative approaches to drug design and these are described in the following chapters. The next chapter covers the value of a quantitative approach, and also the challenge which is to describe the confidence in any prediction, and methods to assess predictive model quality. The later chapters describe the application of quantitative approaches to describing and optimising potency, selectivity, drug metabolism and pharmacokinetic properties and toxicology, and the design of chemical libraries to feed the screening approaches to lead generation that underpin modern drug discovery. Finally the book describes the impact of bioinformatics, current status of predicting ligand affinity direct from the protein structure, and the application of quantitative approaches to predicting environmental risk. The book provides a summary of the current state-of-the-art in quantitative approaches to drug design, and future opportunities, but it also provides inspiration to drug design practitioners to apply careful design, to make best use of the quantitative methods that are available, while continuing to improve them. Drug discovery still relies heavily on random screening and empirical screening cascades to identify leads and drugs and the process has many failures to deliver only a small handful of drugs. With the rapidly escalating costs of drug discovery and development together with spiralling delivery, quantitative approaches hold the promise of shifting the balance of success, to enable drug discovery to maintain its economic viability. 
505 0 |a I-iv; v-vi; vii-xviii; 1-34; 35-59; 60-87; 88-107; 108-163; 164-191; 192-219; 267-278; 220-241; 242-266; 279-311; 312-344; 345-366; 367-396; 397-439; 440-457; 458-478; 479-498 
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650 0 |a Drugs  |x Design. 
650 0 |a Decision making  |x Mathematical models. 
650 0 |a Chemical models. 
650 0 |a QSAR (Biochemistry) 
650 1 2 |a Drug Design 
650 1 2 |a Drug Discovery 
650 2 |a Computer Simulation 
650 2 2 |a Decision Support Techniques 
650 2 2 |a Models, Chemical 
650 2 2 |a Models, Molecular 
650 2 2 |a Quantitative Structure-Activity Relationship 
650 6 |a Médicaments  |x Conception. 
650 6 |a Simulation par ordinateur. 
650 6 |a Prise de décision  |x Modèles mathématiques. 
650 6 |a Modèles chimiques. 
650 6 |a Relations structure-activité quantitatives (Biochimie) 
650 7 |a simulation.  |2 aat 
650 7 |a MEDICAL  |x Drug Guides.  |2 bisacsh 
650 7 |a MEDICAL  |x Nursing  |x Pharmacology.  |2 bisacsh 
650 7 |a MEDICAL  |x Pharmacology.  |2 bisacsh 
650 7 |a MEDICAL  |x Pharmacy.  |2 bisacsh 
650 7 |a QSAR (Biochemistry)  |2 fast 
650 7 |a Decision making  |x Mathematical models  |2 fast 
650 7 |a Chemical models  |2 fast 
650 7 |a Drugs  |x Design  |2 fast 
700 1 |a Livingstone, D.  |q (David) 
700 1 |a Davis, Andrew M.  |c (Chemist) 
776 0 8 |i Print version:  |t Drug design strategies.  |d Cambridge : Royal Society of Chemistry, 2012  |z 9781849731676  |w (OCoLC)759585091 
830 0 |a RSC drug discovery series ;  |v 13. 
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