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Protein-Protein Interaction Networks

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Cover of 'Protein-Protein Interaction Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Predicting Protein–Protein Interactions Using SPRINT
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    Chapter 2 Automated Extraction and Visualization of Protein–Protein Interaction Networks and Beyond: A Text-Mining Protocol
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    Chapter 3 Construction of Functional Protein Networks Using Domain Profile Associations
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    Chapter 4 Reconstruction of Protein–Protein Interaction Networks Using Homology-Based Search: Application to the Autophagy Pathway of Aging in Podospora anserina
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    Chapter 5 Predicting Interacting Protein Pairs by Coevolutionary Paralog Matching
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    Chapter 6 A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
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    Chapter 7 Visual Analysis of Protein–Protein Interaction Docking Models Using COZOID Tool
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    Chapter 8 Path-LZerD: Predicting Assembly Order of Multimeric Protein Complexes
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    Chapter 9 Embedding Alternative Conformations of Proteins in Protein–Protein Interaction Networks
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    Chapter 10 Informed Use of Protein–Protein Interaction Data: A Focus on the Integrated Interactions Database (IID)
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    Chapter 11 Generation and Interpretation of Context-Specific Human Protein–Protein Interaction Networks with HIPPIE
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    Chapter 12 Explore Protein–Protein Interactions for Cancer Target Discovery Using the OncoPPi Portal
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    Chapter 13 Perform Pathway Enrichment Analysis Using ReactomeFIViz
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    Chapter 14 De Novo Pathway Enrichment with KeyPathwayMiner
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    Chapter 15 De Novo Pathway-Based Classification of Breast Cancer Subtypes
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    Chapter 16 Vienna Graph Clustering
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    Chapter 17 On TD-WGcluster: Theoretical Foundations and Guidelines for the User
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    Chapter 18 An Introductory Guide to Aligning Networks Using SANA, the Simulated Annealing Network Aligner
Attention for Chapter 6: A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
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Chapter title
A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
Chapter number 6
Book title
Protein-Protein Interaction Networks
Published by
Humana, New York, NY, October 2019
DOI 10.1007/978-1-4939-9873-9_6
Pubmed ID
Book ISBNs
978-1-4939-9872-2, 978-1-4939-9873-9
Authors

Xiaoyang Jing, Hong Zeng, Sheng Wang, Jinbo Xu, Jing, Xiaoyang, Zeng, Hong, Wang, Sheng, Xu, Jinbo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 25%
Professor 1 13%
Unspecified 1 13%
Researcher 1 13%
Student > Ph. D. Student 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Unspecified 1 13%
Business, Management and Accounting 1 13%
Computer Science 1 13%
Medicine and Dentistry 1 13%
Unknown 4 50%