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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 Protein Structure Modeling with MODELLER
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    Chapter 2 Protein Structure Prediction
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    Chapter 3 The MULTICOM Protein Tertiary Structure Prediction System
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    Chapter 4 Modeling of Protein Side-Chain Conformations with RASP
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    Chapter 5 Direct Coupling Analysis for Protein Contact Prediction
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    Chapter 6 ITScorePro: An Efficient Scoring Program for Evaluating the Energy Scores of Protein Structures for Structure Prediction
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    Chapter 7 Assessing the Quality of Modelled 3D Protein Structures Using the ModFOLD Server
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    Chapter 8 3D-SURFER 2.0: Web Platform for Real-Time Search and Characterization of Protein Surfaces.
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    Chapter 9 SPOT-Seq-RNA: Predicting Protein–RNA Complex Structure and RNA-Binding Function by Fold Recognition and Binding Affinity Prediction
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    Chapter 10 Protein Structure Prediction
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    Chapter 11 Prediction of Intrinsic Disorder in Proteins Using MFDp2
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    Chapter 12 Modeling Protein–Protein Complexes Using the HADDOCK Webserver “Modeling Protein Complexes with HADDOCK”
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    Chapter 13 Predicting the Structure of Protein–Protein Complexes Using the SwarmDock Web Server
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    Chapter 14 DOCK/PIERR: Web Server for Structure Prediction of Protein–Protein Complexes
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    Chapter 15 Pairwise and Multimeric Protein-Protein Docking Using the LZerD Program Suite.
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    Chapter 16 Protocols for Efficient Simulations of Long-Time Protein Dynamics Using Coarse-Grained CABS Model
Overall attention for this book and its chapters
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12 tweeters

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Title
Protein Structure Prediction
Published by
Humana Press, January 2014
DOI 10.1007/978-1-4939-0366-5
ISBNs
978-1-4939-0366-5, 978-1-4939-0365-8, 978-1-4939-4461-3
Authors

Kihara, Daisuke

Editors

Daisuke Kihara

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 27%
Student > Bachelor 5 23%
Student > Doctoral Student 2 9%
Student > Ph. D. Student 2 9%
Lecturer 1 5%
Other 0 0%
Unknown 6 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 41%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Psychology 1 5%
Other 1 5%
Unknown 6 27%