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Targeting Enzymes for Pharmaceutical Development

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Cover of 'Targeting Enzymes for Pharmaceutical Development'

Table of Contents

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    Book Overview
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    Chapter 1 In Silico Laboratory: Tools for Similarity-Based Drug Discovery
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    Chapter 2 The In Silico Fischer Lock-and-Key Model: The Combined Use of Molecular Descriptors and Docking Poses for the Repurposing of Old Drugs
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    Chapter 3 Determination of Half-Maximal Inhibitory Concentration of an Enzyme Inhibitor
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    Chapter 4 Applications of Differential Scanning Fluorometry and Related Technologies in Characterization of Protein–Ligand Interactions
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    Chapter 5 High-Throughput Differential Scanning Fluorimetry of GFP-Tagged Proteins
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    Chapter 6 Enzyme–Ligand Interaction Monitored by Synchrotron Radiation Circular Dichroism
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    Chapter 7 Measuring Small Molecule Binding to Escherichia coli AcrB by Surface Plasmon Resonance
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    Chapter 8 Systematic Screening of Viral Entry Inhibitors Using Surface Plasmon Resonance
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    Chapter 9 Screening of Beta-Secretase Inhibitors by Capillary Electrophoresis-Mass Spectrometry
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    Chapter 10 Electrophoretic Mobility Shift Assays with GFP-Tagged Proteins (GFP-EMSA)
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    Chapter 11 Online Enantioselective Capillary Electrophoretic Method for Screening Cytochrome P450 3A4 Inhibitors
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    Chapter 12 Enzymatic Bioautographic Methods
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    Chapter 13 High-Throughput Assessment of Metabolism-Induced Toxicity of Compounds on a 384-Pillar Plate
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    Chapter 14 Droplet-Based Microfluidics Methods for Detecting Enzyme Inhibitors
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    Chapter 15 Ligand Fishing: An Approach for the Discovery of Inhibitors from Complex Biological Mixtures
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    Chapter 16 HMG-CoA Reductase as Target for Drug Development
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    Chapter 17 Lipoxygenases as Targets for Drug Development
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    Chapter 18 Cholinesterase as a Target for Drug Development in Alzheimer’s Disease
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Title
Targeting Enzymes for Pharmaceutical Development
Published by
Springer US, January 2020
DOI 10.1007/978-1-0716-0163-1
ISBNs
978-1-07-160162-4, 978-1-07-160163-1
Editors

Nikolaos E. Labrou

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 28%
Student > Master 3 17%
Student > Ph. D. Student 3 17%
Other 2 11%
Student > Bachelor 2 11%
Other 1 6%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 33%
Pharmacology, Toxicology and Pharmaceutical Science 3 17%
Agricultural and Biological Sciences 2 11%
Chemistry 2 11%
Nursing and Health Professions 1 6%
Other 2 11%
Unknown 2 11%