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Structural Bioinformatics: Applications in Preclinical Drug Discovery Process

Overview of attention for book
Cover of 'Structural Bioinformatics: Applications in Preclinical Drug Discovery Process'

Table of Contents

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    Book Overview
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    Chapter 1 Free Energy-Based Methods to Understand Drug Resistance Mutations
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    Chapter 2 Pharmacophore Modelling and Screening: Concepts, Recent Developments and Applications in Rational Drug Design
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    Chapter 3 Analysis of Protein Structures Using Residue Interaction Networks
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    Chapter 4 Combinatorial Drug Discovery from Activity-Related Substructure Identification
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    Chapter 5 In Silico Structure-Based Prediction of Receptor–Ligand Binding Affinity: Current Progress and Challenges
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    Chapter 6 Structure-Based Drug Design of Pf DHODH Inhibitors as Antimalarial Agents
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    Chapter 7 Recent Advancements in Computing Reliable Binding Free Energies in Drug Discovery Projects
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    Chapter 8 Integrated Chemoinformatics Approaches Toward Epigenetic Drug Discovery
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    Chapter 9 Structure-Based Drug Design with a Special Emphasis on Herbal Extracts
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    Chapter 10 Impact of Target-Based Drug Design in Anti-bacterial Drug Discovery for the Treatment of Tuberculosis
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    Chapter 11 Turbo Analytics: Applications of Big Data and HPC in Drug Discovery
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    Chapter 12 Single-Particle cryo-EM as a Pipeline for Obtaining Atomic Resolution Structures of Druggable Targets in Preclinical Structure-Based Drug Design
Attention for Chapter 8: Integrated Chemoinformatics Approaches Toward Epigenetic Drug Discovery
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Chapter title
Integrated Chemoinformatics Approaches Toward Epigenetic Drug Discovery
Chapter number 8
Book title
Structural Bioinformatics: Applications in Preclinical Drug Discovery Process
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-05282-9_8
Book ISBNs
978-3-03-005281-2, 978-3-03-005282-9
Authors

Saurabh Loharch, Vikrant Karmahapatra, Pawan Gupta, Rethi Madathil, Raman Parkesh, Loharch, Saurabh, Karmahapatra, Vikrant, Gupta, Pawan, Madathil, Rethi, Parkesh, Raman

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Other 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Chemistry 2 33%
Agricultural and Biological Sciences 1 17%
Environmental Science 1 17%
Unknown 2 33%

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