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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
Attention for Chapter 13: Predicting the Structure of Protein–Protein Complexes Using the SwarmDock Web Server
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Chapter title
Predicting the Structure of Protein–Protein Complexes Using the SwarmDock Web Server
Chapter number 13
Book title
Protein Structure Prediction
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0366-5_13
Pubmed ID
Book ISBNs
978-1-4939-0365-8, 978-1-4939-0366-5
Authors

Mieczyslaw Torchala, Paul A. Bates

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 33%
Student > Ph. D. Student 7 23%
Student > Bachelor 3 10%
Student > Master 3 10%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 3 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 30%
Agricultural and Biological Sciences 6 20%
Physics and Astronomy 3 10%
Computer Science 2 7%
Medicine and Dentistry 2 7%
Other 5 17%
Unknown 3 10%