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Computational Chemogenomics

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Cover of 'Computational Chemogenomics'

Table of Contents

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    Book Overview
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    Chapter 1 A Survey of Web-Based Chemogenomic Data Resources
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    Chapter 2 Finding Potential Multitarget Ligands Using PubChem
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    Chapter 3 Fundamental Bioinformatic and Chemoinformatic Data Processing
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    Chapter 4 Parsing Compound–Protein Bioactivity Tables
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    Chapter 5 Impact of Molecular Descriptors on Computational Models
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    Chapter 6 Physicochemical Property Labels as Molecular Descriptors for Improved Analysis of Compound–Protein and Compound–Compound Networks
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    Chapter 7 Core Statistical Methods for Chemogenomic Data
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    Chapter 8 Structure-Based Detection of Orthosteric and Allosteric Pockets at Protein–Protein Interfaces
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    Chapter 9 Single Binding Pockets Versus Allosteric Binding
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    Chapter 10 Mapping Biological Activities to Different Types of Molecular Scaffolds: Exemplary Application to Protein Kinase Inhibitors
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    Chapter 11 SAR Matrix Method for Large-Scale Analysis of Compound Structure–Activity Relationships and Exploration of Multitarget Activity Spaces
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    Chapter 12 Linear and Kernel Model Construction Methods for Predicting Drug–Target Interactions in a Chemogenomic Framework
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    Chapter 13 Selection of Informative Examples in Chemogenomic Datasets
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    Chapter 14 A Platform for Comprehensive Genomic Profiling in Human Cancers and Pharmacogenomics Therapy Selection
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    Chapter 15 The Future of Computational Chemogenomics
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6 tweeters

Citations

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Title
Computational Chemogenomics
Published by
Springer New York, January 2018
DOI 10.1007/978-1-4939-8639-2
ISBNs
978-1-4939-8638-5, 978-1-4939-8639-2
Editors

J.B. Brown

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 11%
Student > Ph. D. Student 1 11%
Unknown 7 78%
Readers by discipline Count As %
Chemistry 2 22%
Unknown 7 78%