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Computational Methods for Drug Repurposing

  • Quentin Vanhaelen

Part of the Methods in Molecular Biology book series (MIMB, volume 1903)

Table of contents

  1. Front Matter
    Pages i-xi
  2. E. Sila Ozdemir, Farideh Halakou, Ruth Nussinov, Attila Gursoy, Ozlem Keskin
    Pages 1-21
  3. Sohini Chakraborti, Gayatri Ramakrishnan, Narayanaswamy Srinivasan
    Pages 45-59
  4. Yunguan Wang, Jaswanth Yella, Anil G. Jegga
    Pages 73-95
  5. Si Zheng, Hetong Ma, Jiayang Wang, Jiao Li
    Pages 115-127
  6. Preethi Balasundaram, Rohini Kanagavelu, Nivya James, Sayoni Maiti, Shanthi Veerappapillai, Ramanathan Karuppaswamy
    Pages 129-148
  7. Evangelos Karatzas, George Kolios, George M. Spyrou
    Pages 149-177
  8. Xiao Ji, Johannes M. Freudenberg, Pankaj Agarwal
    Pages 203-218
  9. Ali Ezzat, Min Wu, Xiaoli Li, Chee-Keong Kwoh
    Pages 239-254
  10. Zhaobin Kuang, Yujia Bao, James Thomson, Michael Caldwell, Peggy Peissig, Ron Stewart et al.
    Pages 255-267
  11. Maryam Lotfi Shahreza, Nasser Ghadiri, James R. Green
    Pages 291-316
  12. Back Matter
    Pages 329-332

About this book

Introduction

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.

Keywords

Drug discovery Alternative indications for drugs Algorithm adaptation In silico methods Pharmaceutical development

Editors and affiliations

  • Quentin Vanhaelen
    • 1
  1. 1.Insilico Medicine, Inc.RockvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-8955-3
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2019
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-8954-6
  • Online ISBN 978-1-4939-8955-3
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site