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Protein Structure Prediction

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Cover of 'Protein Structure Prediction'

Table of Contents

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    Book Overview
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    Chapter 1 Structural Modeling and Ligand-Binding Prediction for Analysis of Structure-Unknown and Function-Unknown Proteins Using FORTE Alignment and PoSSuM Pocket Search
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    Chapter 2 The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction
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    Chapter 3 The Genome3D Consortium for Structural Annotations of Selected Model Organisms
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    Chapter 4 Estimating the Quality of 3D Protein Models Using the ModFOLD7 Server
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    Chapter 5 Prediction of Intrinsic Disorder with Quality Assessment Using QUARTER
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    Chapter 6 Modeling of Three-Dimensional RNA Structures Using SimRNA
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    Chapter 7 Modeling Protein Homo-Oligomer Structures with GalaxyHomomer Web Server
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    Chapter 8 Template-Based Modeling of Protein Complexes Using the PPI3D Web Server
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    Chapter 9 Protein–Protein and Protein–Peptide Docking with ClusPro Server
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    Chapter 10 Modeling of Protein Complexes and Molecular Assemblies with pyDock
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    Chapter 11 A Guide for Protein–Protein Docking Using SwarmDock
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    Chapter 12 Modeling Protein–Protein or Protein–DNA/RNA Complexes Using the HDOCK Webserver
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    Chapter 13 IDP-LZerD: Software for Modeling Disordered Protein Interactions
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    Chapter 14 AnAnaS: Software for Analytical Analysis of Symmetries in Protein Structures
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    Chapter 15 MDockPeP: A Web Server for Blind Prediction of Protein–Peptide Complex Structures
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    Chapter 16 Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein–Peptide Complex Structures
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    Chapter 17 Dockground Tool for Development and Benchmarking of Protein Docking Procedures
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    Chapter 18 Molecular Dynamics Flexible Fitting: All You Want to Know About Resolution Exchange
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    Chapter 19 Protein Structure Modeling from Cryo-EM Map Using MAINMAST and MAINMAST-GUI Plugin
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    Chapter 20 Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS
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Title
Protein Structure Prediction
Published by
Springer US, January 2020
DOI 10.1007/978-1-0716-0708-4
ISBNs
978-1-07-160707-7, 978-1-07-160708-4
Editors

Daisuke Kihara

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