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In Silico Models for Drug Discovery

Overview of attention for book
Cover of 'In Silico Models for Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Virtual Screening in Drug Design
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    Chapter 2 In Silico Systems Biology Approaches for the Identification of Antimicrobial Targets
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    Chapter 3 Genome Comparisons as a Tool for Antimicrobial Target Discovery
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    Chapter 4 In Silico Models for Drug Resistance
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    Chapter 5 An In Silico Model for Interpreting Polypharmacology in Drug–Target Networks
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    Chapter 6 On Exploring Structure–Activity Relationships
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    Chapter 7 Molecular Dynamics Simulations in Drug Design
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    Chapter 8 Databases and In Silico Tools for Vaccine Design
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    Chapter 9 In Silico Models for B-Cell Epitope Recognition and Signaling
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    Chapter 10 The Collaborative Drug Discovery (CDD) Database
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    Chapter 11 Recognition of Nontrivial Remote Homology Relationships Involving Proteins of Helicobacter pylori: Implications for Function Recognition
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    Chapter 12 Identification of Novel Anthrax Toxin Countermeasures Using In Silico Methods
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    Chapter 13 Rational Design of HIV-1 Entry Inhibitors
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    Chapter 14 Malarial Kinases: Novel Targets for In Silico Approaches to Drug Discovery
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    Chapter 15 Designing Novel Inhibitors of Trypanosoma brucei.
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    Chapter 16 Computational models for tuberculosis drug discovery.
Attention for Chapter 7: Molecular Dynamics Simulations in Drug Design
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Citations

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Chapter title
Molecular Dynamics Simulations in Drug Design
Chapter number 7
Book title
In Silico Models for Drug Discovery
Published in
Methods in molecular biology, March 2013
DOI 10.1007/978-1-62703-342-8_7
Pubmed ID
23568466
Book ISBNs
978-1-62703-341-1, 978-1-62703-342-8
Authors

John E. Kerrigan

Editors

Sandhya Kortagere

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
United States 1 2%
Portugal 1 2%
Brazil 1 2%
Unknown 49 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 6 11%
Professor 5 9%
Student > Bachelor 4 8%
Lecturer 4 8%
Other 11 21%
Unknown 12 23%
Readers by discipline Count As %
Chemistry 14 26%
Biochemistry, Genetics and Molecular Biology 10 19%
Agricultural and Biological Sciences 8 15%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Computer Science 1 2%
Other 3 6%
Unknown 13 25%

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