In Silico Methods for Predicting Drug Toxicity (Hardcover)

Emilio Benfenati

ISBN 10: 1071619594 / ISBN 13: 9781071619599

Published by Springer-Verlag New York Inc., New York, NY, 2022

About this Item

Hardcover. This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781071619599

Bibliographic Details

• Title: In Silico Methods for Predicting Drug Toxicity (Hardcover)
• Publisher: Springer-Verlag New York Inc., New York, NY
• Publication Date: 2022
• Language: English
• ISBN 10: 1071619594
• ISBN 13: 9781071619599
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

This fully updated book explores all-new and revised protocols involving the use of in silico models, particularly with regard to pharmaceuticals. Divided into five sections, the volume covers the modeling of pharmaceuticals in the body, toxicity data for modeling purposes, in silico models for multiple endpoints, a number of platforms for evaluating pharmaceuticals, as well as an exploration of challenges, both scientific and sociological. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice necessary for successful results. 

Authoritative and comprehensive, In Silico Methods for Predicting Drug Toxicity, Second Edition aims to guide the reader through the correct procedures needed to harness in silico models, a field which now touches a wide variety of research specialties.