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Target Identification and Validation in Drug Discovery

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Cover of 'Target Identification and Validation in Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Critical Infrastructure
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    Chapter 1 Why High-Performance Modelling and Simulation for Big Data Applications Matters
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    Chapter 1 Using Functional Genetics in Haploid Cells for Drug Target Identification
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    Chapter 2 Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems
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    Chapter 2 Critical Space Infrastructures
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    Chapter 2 Unbiased Forward Genetic Screening with Chemical Mutagenesis to Uncover Drug–Target Interactions
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    Chapter 3 Tail Distribution and Extreme Quantile Estimation Using Non-parametric Approaches
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    Chapter 3 Critical Space Infrastructure Taxonomy
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    Chapter 3 Integration of RNAi and Small Molecule Screens to Identify Targets for Drug Development
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    Chapter 4 Towards Efficient and Scalable Data-Intensive Content Delivery: State-of-the-Art, Issues and Challenges
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    Chapter 4 CellProfiler and KNIME: Open-Source Tools for High-Content Screening
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    Chapter 4 Critical Space Infrastructure Interdependencies
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    Chapter 5 In Silico Target Druggability Assessment: From Structural to Systemic Approaches
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    Chapter 5 National and Global Effects—Malfunction and Destruction of CSI
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    Chapter 5 Big Data in 5G Distributed Applications
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    Chapter 6 Big Data Processing, Analysis and Applications in Mobile Cellular Networks
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    Chapter 6 In Silico Drug–Target Profiling
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    Chapter 6 Critical Space Infrastructure Protection
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    Chapter 7 Crisis and Emergency Situation Management
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    Chapter 7 Medical Data Processing and Analysis for Remote Health and Activities Monitoring
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    Chapter 7 Locus-Specific Knock-In of a Degradable Tag for Target Validation Studies
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    Chapter 8 Serious Gaming and Policy Gaming
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    Chapter 8 Towards Human Cell Simulation
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    Chapter 8 Expression of Human VH Single Domains as Fc Fusions in Mammalian Cells
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    Chapter 9 Cloud-Based High Throughput Virtual Screening in Novel Drug Discovery
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    Chapter 9 Space Capabilities—A Critical Tool for Nuclear Issues
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    Chapter 9 The Neurosphere Assay (NSA) Applied to Neural Stem Cells (NSCs) and Cancer Stem Cells (CSCs)
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    Chapter 10 3D-3 Tumor Models in Drug Discovery for Analysis of Immune Cell Infiltration
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    Chapter 10 Governance by Emerging Technologies—The Case for Sand and Blockchain Technology
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    Chapter 10 Ultra Wide Band Body Area Networks: Design and Integration with Computational Clouds
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    Chapter 11 Establishing Governance for CSI: An MCDA Approach
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    Chapter 11 Survey on AI-Based Multimodal Methods for Emotion Detection
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    Chapter 11 Establishment and Analysis of a 3D Co-Culture Spheroid Model of Pancreatic Adenocarcinoma for Application in Drug Discovery
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    Chapter 12 In Vivo Pharmacology Models for Cancer Target Research
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    Chapter 12 CSI—A Complex System Governance Approach
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    Chapter 12 Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-Oriented Survey of the State-of-the-Art in the Cloud Era
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    Chapter 13 Use of CRISPR/Cas9 for the Modification of the Mouse Genome
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    Chapter 13 CSG: Towards CSI Research
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    Chapter 14 Assessment of Gene Function of Mouse Innate Lymphoid Cells for In Vivo Analysis Using Retroviral Transduction
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    Chapter 15 Creation of PDX-Bearing Humanized Mice to Study Immuno-oncology
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    Chapter 16 Immunophenotyping of Tissue Samples Using Multicolor Flow Cytometry
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    Chapter 17 Combined MicroRNA In Situ Hybridization and Immunohistochemical Detection of Protein Markers
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    Chapter 18 Tangential Flow Filtration with or Without Subsequent Bind-Elute Size Exclusion Chromatography for Purification of Extracellular Vesicles
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    Chapter 19 Chromogenic Tissue-Based Methods for Detection of Gene Amplifications (or Rearrangements) Combined with Protein Overexpression in Clinical Samples
Attention for Chapter 2: Critical Space Infrastructures
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Chapter title
Critical Space Infrastructures
Chapter number 2
Book title
Target Identification and Validation in Drug Discovery
Published by
Springer, Cham, March 2019
DOI 10.1007/978-3-030-12604-9_2
Book ISBNs
978-1-4939-9144-0, 978-1-4939-9145-7, 978-3-03-012603-2, 978-3-03-012604-9
Authors

Alexandru Georgescu, Adrian V. Gheorghe, Marius-Ioan Piso, Polinpapilinho F. Katina

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 %
Student > Master 3 17%
Student > Postgraduate 2 11%
Student > Bachelor 2 11%
Student > Ph. D. Student 2 11%
Other 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Social Sciences 3 17%
Environmental Science 2 11%
Engineering 2 11%
Computer Science 2 11%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 8 44%