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Bioinformatics and Drug Discovery

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Cover of 'Bioinformatics and Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Cell Perturbation Screens for Target Identification by RNAi
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    Chapter 2 Using Functional Genomics to Identify Drug Targets: A Dupuytren’s Disease Example
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    Chapter 3 Functional Characterization of Human Genes from Exon Expression and RNA Interference Results
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    Chapter 4 Barcode sequencing for understanding drug-gene interactions.
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    Chapter 5 High-Throughput Sequencing of the Methylome Using Two-Base Encoding
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    Chapter 6 Bioinformatics and Drug Discovery
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    Chapter 7 Compound Collection Preparation for Virtual Screening
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    Chapter 8 Mapping between databases of compounds and protein targets.
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    Chapter 9 Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-array and Gene Expression Data
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    Chapter 10 Advances in Nuclear Magnetic Resonance for Drug Discovery
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    Chapter 11 Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance
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    Chapter 12 Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection
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    Chapter 13 Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis
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    Chapter 14 Models of Excitation–Contraction Coupling in Cardiac Ventricular Myocytes
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    Chapter 15 Integration of Multiple Ubiquitin Signals in Proteasome Regulation
Attention for Chapter 14: Models of Excitation–Contraction Coupling in Cardiac Ventricular Myocytes
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Chapter title
Models of Excitation–Contraction Coupling in Cardiac Ventricular Myocytes
Chapter number 14
Book title
Bioinformatics and Drug Discovery
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-965-5_14
Pubmed ID
Book ISBNs
978-1-61779-964-8, 978-1-61779-965-5
Authors

M. Saleet Jafri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 15%
Researcher 10 14%
Student > Ph. D. Student 9 12%
Student > Master 8 11%
Student > Doctoral Student 6 8%
Other 9 12%
Unknown 21 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 18%
Agricultural and Biological Sciences 10 14%
Engineering 8 11%
Medicine and Dentistry 7 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Other 9 12%
Unknown 22 30%