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Two Hybrid Technologies

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Cover of 'Two Hybrid Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Matrix-Based Yeast Two-Hybrid Screen Strategies and Comparison of Systems
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    Chapter 2 Array-based yeast two-hybrid screens: a practical guide.
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    Chapter 3 High-Throughput Yeast Two-Hybrid Screening
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    Chapter 4 A Stringent Yeast Two-Hybrid Matrix Screening Approach for Protein–Protein Interaction Discovery
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    Chapter 5 High-Throughput Yeast Two-Hybrid Screening of Complex cDNA Libraries
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    Chapter 6 Virus–Human Cell Interactomes
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    Chapter 7 Interactome Mapping in Malaria Parasites: Challenges and Opportunities
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    Chapter 8 Mapping Interactomes with High Coverage and Efficiency Using the Shifted Transversal Design
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    Chapter 9 Assigning Confidence Scores to Protein–Protein Interactions
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    Chapter 10 The Integration and Annotation of the Human Interactome in the UniHI Database
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    Chapter 11 Gene-Centered Yeast One-Hybrid Assays
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    Chapter 12 One- Plus Two-Hybrid System for the Efficient Selection of Missense Mutant Alleles Defective in Protein–Protein Interactions
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    Chapter 13 Investigation of Membrane Protein Interactions Using the Split-Ubiquitin Membrane Yeast Two-Hybrid System
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    Chapter 14 Application of the Split-Protein Sensor Trp1 to Protein Interaction Discovery in the Yeast Saccharomyces cerevisiae
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    Chapter 15 Tetracycline Repressor-Based Mammalian Two-Hybrid Systems
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    Chapter 16 The Fluorescent Two-Hybrid (F2H) Assay for Direct Analysis of Protein–Protein Interactions in Living Cells
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    Chapter 17 ArrayMAPPIT: A Screening Platform for Human Protein Interactome Analysis
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    Chapter 18 MAPPIT as a High-Throughput Screening Assay for Modulators of Protein–Protein Interactions in HIV and HCV
  20. Altmetric Badge
    Chapter 19 Integrated Measurement of Split TEV and Cis -Regulatory Assays Using EXT Encoded Reporter Libraries
Attention for Chapter 18: MAPPIT as a High-Throughput Screening Assay for Modulators of Protein–Protein Interactions in HIV and HCV
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Chapter title
MAPPIT as a High-Throughput Screening Assay for Modulators of Protein–Protein Interactions in HIV and HCV
Chapter number 18
Book title
Two Hybrid Technologies
Published in
Methods in molecular biology, October 2011
DOI 10.1007/978-1-61779-455-1_18
Pubmed ID
Book ISBNs
978-1-61779-454-4, 978-1-61779-455-1
Authors

Van Schoubroeck, Bertrand, Van Acker, Koen, Dams, Géry, Jochmans, Dirk, Clayton, Reginald, Berke, Jan Martin, Lievens, Sam, Van der Heyden, José, Tavernier, Jan, Bertrand Van Schoubroeck, Koen Van Acker, Géry Dams, Dirk Jochmans, Reginald Clayton, Jan Martin Berke, Sam Lievens, José Van der Heyden, Jan Tavernier

Abstract

The discovery of novel antivirals for HIV and HCV has been a focus of intensive research for many years. Where the inhibition of critical viral enzymes by small molecules has proven effective for many viruses, there is considerable merit in pursuing protein-protein interactions (PPIs) as targets for therapeutic intervention. The mammalian protein-protein interaction trap (MAPPIT) is a two-hybrid system used for the study of PPIs. The bait and prey proteins are linked to deficient cytokine receptor chimeras, where the bait and prey interaction and subsequent ligand stimulation restores JAK-STAT signaling, resulting in reporter gene expression controlled by a STAT3-responsive promoter. We report the use of MAPPIT as a high-throughput screening assay for the discovery of inhibitors or stimulators of the Vif-APOBEC3G interaction and the reverse transcriptase heterodimerization (RTp66-RTp51) for HIV and the NS4A-NS3 interaction for HCV.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 44%
Student > Ph. D. Student 3 33%
Student > Postgraduate 1 11%
Student > Master 1 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 56%
Biochemistry, Genetics and Molecular Biology 2 22%
Social Sciences 1 11%
Medicine and Dentistry 1 11%

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 06 January 2012.
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#9,159,081
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Outputs from Methods in molecular biology
#3,952
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#180,719
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Outputs of similar age from Methods in molecular biology
#235
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