In Silico Methods for Predicting Drug Toxicity

Emilio Benfenati

ISBN 10: 1493980939 / ISBN 13: 9781493980932

Edité par Springer New York, 2018

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This detailed volume explores in silico methods forpharmaceutical toxicity by combiningthe theoretical advanced research with the practical application of the tools.Beginning with a section covering sophisticated models addressing the bindingto receptors, pharmacokinetics and adsorption, metabolism, distribution, andexcretion, the book continues with chapters delving into models for specifictoxicological and ecotoxicological endpoints, as well as broad views of themain initiatives and new perspectives which will very likely improve our way ofmodelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series,chapters include the kind of detailed implementation advice that is key forachieving successful research results.Authoritative and practical, In Silico Methods for Predicting DrugToxicity offers the advantage of incorporating data and knowledge fromdifferent fields, such as chemistry, biology, -omics, and pharmacology, toachieve goals in this vital area of research.

N° de réf. du vendeur 9781493980932

Détails bibliographiques

• Titre: In Silico Methods for Predicting Drug Toxicity
• Éditeur: Springer New York
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 1493980939
• ISBN à 13 chiffres: 9781493980932
• Reliure: Taschenbuch
• État de l'article: Neu

A propos de ce titre

Synopsis

This detailed volume explores in silico methods for pharmaceutical toxicity by combining the theoretical advanced research with the practical application of the tools. Beginning with a section covering sophisticated models addressing the binding to receptors, pharmacokinetics and adsorption, metabolism, distribution, and excretion, the book continues with chapters delving into models for specific toxicological and ecotoxicological endpoints, as well as broad views of the main initiatives and new perspectives which will very likely improve our way of modelling pharmaceuticals. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that is key for achieving successful research results.

Authoritative and practical, In Silico Methods for Predicting Drug Toxicity offers the advantage of incorporating data and knowledge from different fields, such as chemistry, biology, -omics, and pharmacology, to achieve goals in this vital area of research.