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Structural Bioinformatics: Applications in Preclinical Drug Discovery Process

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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 12: Single-Particle cryo-EM as a Pipeline for Obtaining Atomic Resolution Structures of Druggable Targets in Preclinical Structure-Based Drug Design
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Chapter title
Single-Particle cryo-EM as a Pipeline for Obtaining Atomic Resolution Structures of Druggable Targets in Preclinical Structure-Based Drug Design
Chapter number 12
Book title
Structural Bioinformatics: Applications in Preclinical Drug Discovery Process
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-05282-9_12
Book ISBNs
978-3-03-005281-2, 978-3-03-005282-9
Authors

Ramanathan Natesh, Natesh, Ramanathan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 19%
Researcher 2 13%
Student > Master 2 13%
Student > Ph. D. Student 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 3 19%
Medicine and Dentistry 1 6%
Unknown 7 44%

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