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Structural Bioinformatics

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Cover of 'Structural Bioinformatics'

Table of Contents

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    Book Overview
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    Chapter 1 Visualization and Analysis of Protein Structures with LiteMol Suite
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    Chapter 2 Comparative Protein Structure Analysis with Bio3D-Web
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    Chapter 3 Using Dali for Protein Structure Comparison
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    Chapter 4 Assessing Protein Function Through Structural Similarities with CATH
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    Chapter 5 Protein Thermal Stability Engineering Using HoTMuSiC
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    Chapter 6 Contact Area-Based Structural Analysis of Proteins and Their Complexes Using CAD-Score
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    Chapter 7 A Comprehensive Computational Platform to Guide Drug Development Using Graph-Based Signature Methods
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    Chapter 8 Systematic Exploration of Binding Modes of Ligands on Drug Targets
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    Chapter 9 Using MemBlob to Analyze Transmembrane Regions Based on Cryo-EM Maps
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    Chapter 10 Structural Characterization of Protein–Protein Interactions with pyDockSAXS
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    Chapter 11 Protein–Protein Modeling Using Cryo-EM Restraints
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    Chapter 12 Modeling of Multimolecular Complexes
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    Chapter 13 Biological Assembly Comparison with VAST+
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    Chapter 14 BioMagResBank (BMRB) as a Resource for Structural Biology
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    Chapter 15 Integrating Molecular Simulation and Experimental Data: A Bayesian/Maximum Entropy Reweighting Approach
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    Chapter 16 Evaluation and Selection of Dynamic Protein Structural Ensembles with CoNSEnsX+
Attention for Chapter 15: Integrating Molecular Simulation and Experimental Data: A Bayesian/Maximum Entropy Reweighting Approach
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Chapter title
Integrating Molecular Simulation and Experimental Data: A Bayesian/Maximum Entropy Reweighting Approach
Chapter number 15
Book title
Structural Bioinformatics
Published by
Humana, New York, NY, February 2020
DOI 10.1007/978-1-0716-0270-6_15
Pubmed ID
Book ISBNs
978-1-07-160269-0, 978-1-07-160270-6
Authors

Sandro Bottaro, Tone Bengtsen, Kresten Lindorff-Larsen, Bottaro, Sandro, Bengtsen, Tone, Lindorff-Larsen, Kresten

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 19 21%
Student > Bachelor 11 12%
Student > Master 7 8%
Student > Doctoral Student 5 5%
Other 15 16%
Unknown 14 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 32%
Chemistry 17 19%
Agricultural and Biological Sciences 9 10%
Physics and Astronomy 6 7%
Computer Science 4 4%
Other 9 10%
Unknown 17 19%