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Bioinformatics Techniques for Drug Discovery

Applications for Complex Diseases

  • Book
  • © 2018

Overview

Authors:
  1. Aman Chandra Kaushik

    1. School of life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

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  2. Ajay Kumar

    1. School of Engineering, Gautam Buddha University, Greater Noida, India

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  3. Shiv Bharadwaj

    1. Nanotechnology Research and Application Center, Sabancı University, Tuzla, Turkey

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  4. Ravi Chaudhary

    1. School of Biotechnology, Gautam Buddha University, Greater Noida, India

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  5. Shakti Sahi

    1. School of Biotechnology, Gautam Buddha University, Greater Noida, India

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  • Reviews new trends in drug discovery
  • Describes the application of computer science techniques to medical data
  • Discusses the use of health informatics in the development of new lead compounds?

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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About this book

The application of bioinformatics approaches in drug design involves an interdisciplinary array of sophisticated techniques and software tools to elucidate hidden or complex biological data. This work reviews the latest bioinformatics approaches used for drug discovery. The text covers ligand-based and structure-based approaches for computer-aided drug design, 3D pharmacophore modeling, molecular dynamics simulation, the thermodynamics of ligand−receptor and ligand−enzyme association, thermodynamic characterization and optimization, and techniques for computational genomics and proteomics.

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Brief Introduction

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 1-10

  3. Ligand-Based Approach for In-silico Drug Designing

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 11-19

  4. Structure-Based Approach for In-silico Drug Designing

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 21-25

  5. Three-Dimensional (3D) Pharmacophore Modelling-Based Drug Designing by Computational Technique

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 27-31

  6. Molecular Dynamics Simulation Approach to Investigate Dynamic Behaviour of System Through the Application of Newtonian Mechanics

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 33-36

  7. Receptor Thermodynamics of Ligand–Receptor or Ligand–Enzyme Association

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 37-42

  8. Thermodynamic Cycles and Their Application in Protein Targets

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 43-46

  9. Genomics and Proteomics Using Computational Biology

    • Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi
    Pages 47-57
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Authors and Affiliations

  • School of life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China

    Aman Chandra Kaushik

  • School of Engineering, Gautam Buddha University, Greater Noida, India

    Ajay Kumar

  • Nanotechnology Research and Application Center, Sabancı University, Tuzla, Turkey

    Shiv Bharadwaj

  • School of Biotechnology, Gautam Buddha University, Greater Noida, India

    Ravi Chaudhary, Shakti Sahi

About the authors


Bibliographic Information

  • Book Title: Bioinformatics Techniques for Drug Discovery

  • Book Subtitle: Applications for Complex Diseases

  • Authors: Aman Chandra Kaushik, Ajay Kumar, Shiv Bharadwaj, Ravi Chaudhary, Shakti Sahi

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-75732-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s) 2018

  • Softcover ISBN: 978-3-319-75731-5Published: 04 May 2018

  • eBook ISBN: 978-3-319-75732-2Published: 25 April 2018

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XI, 57

  • Number of Illustrations: 1 b/w illustrations, 7 illustrations in colour

  • Topics: Computational Biology/Bioinformatics, Systems Biology, Pharmacology/Toxicology

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