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SH2 Domains

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Cover of 'SH2 Domains'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: History of SH2 Domains and Their Applications
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    Chapter 2 What Have We Learned from SH2 Domains?
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    Chapter 3 Hidden Markov Models for Protein Domain Homology Identification and Analysis
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    Chapter 4 Classification and Lineage Tracing of SH2 Domains Throughout Eukaryotes
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    Chapter 5 SH2 Ligand Prediction–Guidance for In-Silico Screening
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    Chapter 6 An Efficient Semi-supervised Learning Approach to Predict SH2 Domain Mediated Interactions
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    Chapter 7 Proteomic Clustering Analysis of SH2 Domain Datasets
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    Chapter 8 Expression and Production of SH2 Domain Proteins
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    Chapter 9 Expression and Purification of Soluble STAT5b/STAT3 Proteins for SH2 Domain Binding Assay
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    Chapter 10 Purification of SOCS (Suppressor of Cytokine Signaling) SH2 Domains for Structural and Functional Studies
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    Chapter 11 Expression and Purification of SH2 Domains Using Baculovirus Expression System
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    Chapter 12 Functionally Altered SH2 Domains for Biochemical Studies: Loss-of-Function Mutant and Domain Concatenation
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    Chapter 13 Creation of Phosphotyrosine Superbinders by Directed Evolution of an SH2 Domain
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    Chapter 14 Structural Characterization of Monomeric/Dimeric State of p59fyn SH2 Domain
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    Chapter 15 NMR Chemical Shift Mapping of SH2 Peptide Interactions
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    Chapter 16 Calorimetric Measurement of SH2 Domain Ligand Affinities
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    Chapter 17 Binding Assays Using Recombinant SH2 Domains: Far-Western, Pull-Down, and Fluorescence Polarization
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    Chapter 18 In-Solution SH2 Domain Binding Assay Based on Proximity Ligation
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    Chapter 19 Alpha-Based Multiplexed Assay for Identifying SH2 Domain Antagonists
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    Chapter 20 Characterizing SH2 Domain Specificity and Network Interactions Using SPOT Peptide Arrays
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    Chapter 21 High-Throughput Quantification of SH2 Domain–Phosphopeptide Interactions with Cellulose–Peptide Conjugate Microarrays
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    Chapter 22 SH2 Domains as Affinity Reagents for Phosphotyrosine Protein Enrichment and Proteomic Analysis
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    Chapter 23 Identification of Tyrosine Phosphorylated Proteins by SH2 Domain Affinity Purification and Mass Spectrometry
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    Chapter 24 Analysis of the Global Changes in SH2 Binding Properties Using Mass Spectrometry Supported by Quantitative Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) Technique
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    Chapter 25 Using Reciprocal Protein-Peptide Array Screening to Unravel Protein Interaction Networks
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    Chapter 26 Rosette Assay: Highly Customizable Dot-Blot for SH2 Domain Screening
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    Chapter 27 Microwestern Arrays for Systems-Level Analysis of SH2 Domain-Containing Proteins
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    Chapter 28 SH2 Binding Site Protection Assay: A Method for Identification of SH2 Domain Interaction Partners by Exploiting SH2 Mediated Phosphosite Protection
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    Chapter 29 Real-Time Single Molecule Visualization of SH2 Domain Membrane Recruitment in Growth Factor Stimulated Cells
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    Chapter 30 SH2 Domain-Based FRET Biosensor for Measuring BCR-ABL Activity in Living CML Cells
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    Chapter 31 SH2 Domain Histochemistry
Overall attention for this book and its chapters
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Title
SH2 Domains
Published by
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6762-9
ISBNs
978-1-4939-6760-5, 978-1-4939-6762-9
Editors

Kazuya Machida, Bernard A. Liu

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Master 2 10%
Lecturer 1 5%
Other 1 5%
Unknown 8 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 20%
Agricultural and Biological Sciences 3 15%
Chemistry 3 15%
Immunology and Microbiology 1 5%
Unknown 9 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 January 2017.
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#20,390,619
of 22,940,083 outputs
Outputs from Methods in molecular biology
#9,915
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#355,763
of 420,863 outputs
Outputs of similar age from Methods in molecular biology
#842
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