Computational Methods for Drug Repurposing (Hardcover, 1st ed. 2019)


This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction. Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.

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Product Description

This detailed book explores techniques commonly used for research into drug repurposing, a well-known strategy to find alternative indications for drugs which have already undergone toxicology and pharma-kinetic studies but have failed later stages during the development, via computational methods. Thereby, it addresses the intense challenges of identifying the appropriate type of algorithm and relevant technical information for computational repurposing. Written for the highly successful Methods in Molecular Biology series, the authors of each chapter use their experience in the field to describe the implementation and successful use of a specific repurposing method thus providing lab-ready instruction. Authoritative and practical, Computational Methods for Drug Repurposing serves as an ideal guide to researchers interested in this vital area of drug development.

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Product Details

General

Imprint

HumanaPress

Country of origin

United States

Series

Methods in Molecular Biology, 1903

Release date

2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Editors

Dimensions

254 x 178 x 27mm (L x W x T)

Format

Hardcover

Pages

332

Edition

1st ed. 2019

ISBN-13

978-1-4939-8954-6

Barcode

9781493989546

Categories

LSN

1-4939-8954-5



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