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Protein-Protein Interactions

Overview of attention for book
Cover of 'Protein-Protein Interactions'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Structural Basis of Protein-Protein Interactions
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    Chapter 2 Quantitative Analysis of Protein-Protein Interactions
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    Chapter 3 Protein-Protein Interaction Databases
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    Chapter 4 Computational Prediction of Protein-Protein Interactions
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    Chapter 5 Structure-Based Computational Approaches for Small-Molecule Modulation of Protein-Protein Interactions
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    Chapter 6 Targeting Protein-Protein Interactions for Drug Discovery
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    Chapter 7 Studying Protein-Protein Interactions Using Surface Plasmon Resonance
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    Chapter 8 Resonant Waveguide Grating for Monitoring Biomolecular Interactions
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    Chapter 9 Quartz Microbalance Technology for Probing Biomolecular Interactions
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    Chapter 10 Label-Free Kinetic Analysis of an Antibody–Antigen Interaction Using Biolayer Interferometry
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    Chapter 11 Characterization of protein-protein interactions by isothermal titration calorimetry.
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    Chapter 12 Sedimentation Equilibrium Studies
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    Chapter 13 Detecting Protein-Protein Interactions by Gel Filtration Chromatography
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    Chapter 14 Using Light Scattering to Determine the Stoichiometry of Protein Complexes
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    Chapter 15 Circular Dichroism (CD) Analyses of Protein-Protein Interactions
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    Chapter 16 Protein-Protein Interaction Analysis by Nuclear Magnetic Resonance Spectroscopy
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    Chapter 17 Quantitative protein analysis by mass spectrometry.
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    Chapter 18 Using Peptide Arrays Created by the SPOT Method for Defining Protein-Protein Interactions
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    Chapter 19 Fluorescence Polarization Assay to Quantify Protein-Protein Interactions: An Update
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    Chapter 20 Förster Resonance Energy Transfer (FRET) Microscopy for Monitoring Biomolecular Interactions.
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    Chapter 21 Utilizing ELISA to Monitor Protein-Protein Interaction
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    Chapter 22 Glutathione- S -Transferase (GST)-Fusion Based Assays for Studying Protein-Protein Interactions
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    Chapter 23 Hexahistidine (6xHis) Fusion-Based Assays for Protein-Protein Interactions
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    Chapter 24 Studying Protein-Protein Interactions via Blot Overlay/Far Western Blot
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    Chapter 25 Co-immunoprecipitation from Transfected Cells
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    Chapter 26 In Vivo Protein Cross-Linking
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    Chapter 27 Identification of protein-protein interactions by standard gal4p-based yeast two-hybrid screening.
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    Chapter 28 Reverse Two-Hybrid Techniques in the Yeast Saccharomyces cerevisiae.
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    Chapter 29 MAPPIT, a Mammalian Two-Hybrid Method for In-Cell Detection of Protein-Protein Interactions
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    Chapter 30 Bioluminescence Resonance Energy Transfer to Detect Protein-Protein Interactions in Live Cells
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    Chapter 31 Mapping Biochemical Networks with Protein Fragment Complementation Assays
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    Chapter 32 Detection of Protein-Protein Interaction Using Bimolecular Fluorescence Complementation Assay
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    Chapter 33 Split-Luciferase Complementation Assay to Detect Channel–Protein Interactions in Live Cells
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    Chapter 34 Confocal Microscopy for Intracellular Co-localization of Proteins
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    Chapter 35 Fluorescence Polarization Assay to Quantify Protein-Protein Interactions in an HTS Format
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    Chapter 36 Estrogen Receptor Alpha/Co-activator Interaction Assay: TR-FRET
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    Chapter 37 High Content Screening Biosensor Assay to Identify Disruptors of p53–hDM2 Protein-Protein Interactions
  39. Altmetric Badge
    Chapter 38 Case Study: Discovery of Inhibitors of the MDM2–p53 Protein-Protein Interaction
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    Chapter 39 Biophysical methods for identifying fragment-based inhibitors of protein-protein interactions.
Attention for Chapter 4: Computational Prediction of Protein-Protein Interactions
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Chapter title
Computational Prediction of Protein-Protein Interactions
Chapter number 4
Book title
Protein-Protein Interactions
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2425-7_4
Pubmed ID
25859943
Book ISBNs
978-1-4939-2424-0, 978-1-4939-2425-7
Authors

Tobias Ehrenberger, Lewis C. Cantley, Michael B. Yaffe, Ehrenberger, Tobias, Cantley, Lewis C, Yaffe, Michael B, Cantley, Lewis C., Yaffe, Michael B.

Editors

Cheryl L. Meyerkord, Haian Fu

Abstract

The prediction of protein-protein interactions and kinase-specific phosphorylation sites on individual proteins is critical for correctly placing proteins within signaling pathways and networks. The importance of this type of annotation continues to increase with the continued explosion of genomic and proteomic data, particularly with emerging data categorizing posttranslational modifications on a large scale. A variety of computational tools are available for this purpose. In this chapter, we review the general methodologies for these types of computational predictions and present a detailed user-focused tutorial of one such method and computational tool, Scansite, which is freely available to the entire scientific community over the Internet.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Germany 1 1%
Austria 1 1%
Australia 1 1%
Argentina 1 1%
United States 1 1%
Unknown 67 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 33%
Researcher 14 19%
Student > Master 9 12%
Student > Bachelor 3 4%
Professor > Associate Professor 3 4%
Other 9 12%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 36%
Biochemistry, Genetics and Molecular Biology 20 27%
Computer Science 6 8%
Medicine and Dentistry 3 4%
Chemical Engineering 2 3%
Other 4 5%
Unknown 12 16%
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 29 December 2015.
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#20,308,732
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Outputs from Methods in molecular biology
#9,917
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Outputs of similar age from Methods in molecular biology
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